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Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They seek a Senior Manager to build and drive Atlassian Government Cloud platform components, focusing on end-to-end release components, with hands-on leadership and involvement in hard launch decisions. Responsibilities include owning the release process: planning, versioning, release readiness, cutover, verification, rollback, managing the release calendar and dependencies, and determining go/no-go criteria; also serving as the escalation point for incidents and defining what “ready to ship” means. You’ll lead 10–15 engineers, coaching, hiring, building on-call rotas, and shaping a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback. You’ll collaborate with cross-functional teams, communicate status to senior leadership, run blameless post-release reviews, and ensure compliance and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. - The Senior Manager role focuses on building and maturing Atlassian Government Cloud platform components and end-to-end release components, with hands-on leadership for hard launch decisions. - Responsibilities include owning the government release process (planning, versioning, readiness, cutover, rollback), managing the release calendar and go/no-go criteria, and serving as the escalation point for release incidents. - The role manages a 10–15 engineer team, develops multi-quarter roadmaps to reduce release risk using trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback. - It requires cross-functional partnership with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, clear communication with senior leadership, blameless post-release reviews, and ensuring compliance with change management and audit standards (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever there is a legal entity. The Senior Manager role will build and drive Atlassian Government Cloud platform components, lead a team of engineers, and shift from continuous delivery to operator-approved releases with hands-on strategic involvement in launches. You will own the government release process—including planning, branching/versioning, readiness, cutover, verification, rollback—and the go/no-go criteria, serving as the escalation point for release-impacting incidents, including after-hours. You will manage 10-15 engineers, develop a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling and reduce toil. You will collaborate across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance, conduct blameless post-release reviews, and ensure releases meet change management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, supporting employees’ family and personal goals. The Senior Manager will build and mature the Government Cloud platform components, lead a team of 10–15 software engineers, own end-to-end release processes, and make go/no-go decisions to shift from continuous delivery to operator-approved releases. Responsibilities include owning release planning, branching/versioning, readiness, cutover, verification, rollback, managing the release calendar, and serving as the escalation point for release-impacting incidents. They will define readiness criteria, drive a multi-quarter roadmap to reduce release risk and cycle time with trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, and partner with platform teams to scale tooling. Cross-functionally, they’ll work with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal; run blameless post-release reviews; and ensure releases are compliant and auditable with change management and standards such as SOC 2, ISO 27001, FedRAMP, PCI, or SOX.

Atlassian offers flexible work options and hires in any country where we have a legal entity. The role is a Senior Manager who will build and mature Atlassian Government Cloud platform components, leading a team to deliver end-to-end release components and shift from continuous delivery to operator-approved releases. You will own the government release process (planning, branching/versioning, release readiness, cutover, verification, rollback), run the release calendar and dependency map, own go/no-go decisions, and serve as the escalation point for major release incidents, including out-of-hours work. You will manage a 10-15 person engineering team, set strategy, coach, hire, and build bench strength, while driving a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback. You will partner across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance to align release readiness with launch readiness, communicate to senior leadership, conduct blameless post-release reviews, and ensure compliance with change management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX) without creating unnecessary bureaucracy.

At Atlassian, you can work from an office, remotely, or in a hybrid setup, and we hire in any country where Atlassian has a legal entity. We’re hiring a Senior Manager to build and mature the Government Cloud platform components and own end-to-end release processes, advancing from continuous delivery to operator-approved releases. This is a hands-on leadership role where you’ll set strategy, grow people, coach the direction and team, and participate in hard launch calls. You’ll own the government release process (planning, versioning, readiness, cutover, verification, rollback), manage the release calendar and go/no-go criteria, and serve as the escalation point for release-impacting incidents. You’ll drive a multi-quarter roadmap to reduce release risk and cycle time (trunk-based development, feature flags, progressive rollout and canaries, automated gates, one-click rollback), partner with cross-functional teams to scale tooling and ensure compliant, auditable release practices (SOC 2, ISO 27001, FedRAMP, PCI, or SOX as applicable), and conduct blameless post-release reviews.

Atlassians can choose where they work—office, remote, or a mix—and Atlassian hires people in any country where we have a legal entity. The role is a Senior Manager to build and drive Government Cloud platform components, focusing on end-to-end release components in a high-risk environment, with hands-on leadership and involvement in hard launch calls. You will own the Government release process (planning, branching/versioning, readiness, cutover, verification, rollback), run release calendars and dependency maps, make tradeoffs when timelines and quality collide, own the go/no-go criteria, and act as the escalation point for release-impacting incidents, including after hours for major launches. You will manage 10-15 engineers, coach and hire, set expectations, run on-call rotations, and build bench strength; you will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, while partnering with other platform teams to scale tooling and remove toil. You will collaborate with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; communicate status and risk to senior leadership; conduct blameless post-release reviews and ensure compliance and auditability with standards like SOC 2, ISO 27001, FedRAMP, PCI, or SOX.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, enabling teammates to prioritize family, personal goals, and other priorities. Its agile & DevOps, IT service management, and work management software—such as Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete shared work, with a broad customer base including the Fortune 500 and NASA. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding usage, nurturing relationships, and providing customer feedback to product and engineering. In this role you will own about 40 accounts in the Mid Market segment (200–10,000 seats), carry a $2–4M annual quota, lead a cross-functional deal team, build executive relationships, and apply MEDDPICC to qualify and win complex opportunities. You will collaborate with channel, marketing, product, and customer success; negotiate and price contracts; maintain a healthy pipeline with forecasting; stay informed on industry trends and competitors; and travel occasionally for customer meetings and team events.

Atlassian offers flexible work locations, allowing office, home, or hybrid arrangements, and hires in any country where it has a legal entity to support employees’ family and personal goals. Atlassian aims to unleash every team’s potential with products like Jira Software, Confluence, and Jira Service Management, used by major companies worldwide including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages about 40 accounts (200–10,000 seats), pursuing cloud-first opportunities, cross-sell and expansion, while meeting revenue targets and advocating for customers. The role requires leading a cross-functional deal team and building executive-level relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and close complex opportunities with an emphasis on outcome-based selling. Key duties include collaborating with channel, product, marketing, and customer success; pricing and contracting; maintaining a healthy pipeline with accurate forecasting; staying informed on industry trends; and occasional travel for customer meetings and events.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires globally where it has a legal entity, aiming to unleash the potential of every team with its agile, DevOps, IT service management, and work-management software. Its solutions, including Jira Software, Confluence, and Jira Service Management, are used by Fortune 500 companies and others (NASA, Audi, Kiva, Deutsche Bank, Dropbox) to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and targets revenue while acting as a customer advocate to provide feedback to product and engineering. In this role you will own roughly 40 accounts (200–10,000 seat), carry a 2–4M annual quota, lead cross-functional deal teams, develop executive-level relationships, apply MEDDPICC to qualify and win complex opportunities, pursue multithreaded, multi-solution deals, collaborate with channel, marketing, product, and customer success, negotiate pricing, source leads, forecast accurately, and stay informed on industry trends. Occasional travel for customer meetings, industry events, and team gatherings is expected, with all activities aligned to Atlassian's values and evolving sales model.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity, aiming to unleash the potential of every team with products like Jira Software, Confluence, and Jira Service Management. Their solutions are used by a wide range of customers, from the Fortune 500 to over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. In this Mid-Market sales role, you will own a book of 45-75 accounts with 200-10,000 Atlassian seats and a yearly quota of about $2-4 million, leading cross-functional deal teams and serving as the primary contact for your accounts. You will build executive relationships across multiple business groups, apply MEDDPICC or a similar framework to qualify and close complex opportunities, collaborate with channel, marketing, product, and customer success to maximize customer satisfaction, and act as a strong advocate for customers by feeding feedback to product and engineering teams. Additional duties include sourcing and qualifying leads, maintaining a healthy pipeline with accurate forecasting, occasional travel for customer meetings and industry events, and staying current on industry trends and competitors while upholding Atlassian's values and collaborative approach.

At Atlassian, flexible work options are available and the company hires globally, offering products like Jira Software, Confluence, and Jira Service Management that help teams collaborate. In the Mid-Market sales role, you’ll own 45–75 accounts (200–10,000 seats) with a $2–4M annual quota, focusing on cloud-first opportunities and customer expansion. You’ll lead cross-functional deal teams (SDR, SE, SSE, AM, partners) and establish executive relationships across IT, business, sales, and marketing to drive multithreaded opportunities. Responsibilities include closing complex, multi-solution deals, negotiating contracts, sourcing leads, maintaining a healthy pipeline with accurate forecasting, and occasional travel for meetings. You’ll collaborate with channel, product, and customer success teams to maximize customer satisfaction while staying ahead of industry trends and competitors for a competitive edge.

- Atlassian offers flexible work locations and hires in any country with a legal entity, with distributed collaboration options and details at go.atlassian.com/distributed. - Their Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to launch grads into impactful careers at Atlassian. - The role is located in Burnaby, Richmond, or Vancouver, British Columbia, and you must be willing and able to work from one of these locations to qualify. - This position is not eligible for employer sponsorship at the time of hire, and applicants who may require sponsorship in the future are encouraged to indicate this during the application process. - Responsibilities include building production-ready features for Jira, Confluence, and Trello; owning end-to-end projects from design to deployment; collaborating in Agile teams; innovating with AI/ML technologies; and solving complex distributed systems and data-processing problems using data-driven insights.

1) Atlassian is seeking a passionate Solutions Engineer to join the APAC Solutions Engineering team, focusing on their largest Southeast Asian customers. 2) The role aims to be a trusted advisor to major clients and contribute to Atlassian’s broader go-to-market strategy, with encouragement to connect with the Recruitment team. 3) The company highlights core values: Open Company, No BS; Build with Heart and Balance; Don’t #@!% the Customer; Play, as a Team; Be the Change You Seek. 4) The team’s values also include Excellence, Team > Individual, Intentional Positivity, Own Your Domain, Be a Technical Leader, Advocate for Atlassian, Empathise with Customers, Lifelong Learning, and Drive Business Outcomes. 5) Together these values emphasize transparency, customer-centricity, collaboration, leadership, continuous learning, and driving revenue outcomes.

Atlassian is seeking a passionate Solutions Engineer to join the APAC Solutions Engineering team, focusing on its largest Southeast Asian customers. The role involves being a trusted advisor to major clients and helping them reach their potential with Atlassian, as part of the broader go-to-market strategy. If you’re ready to be part of a team that plays a crucial role in GTM, you should apply today and connect with the Recruitment team. Atlassian’s core values emphasize openness and transparency, customer-first thinking, collaboration, and driving positive change, with a balance between building great products and user experience. The team’s values further highlight excellence, teamwork over individuals, intentional positivity, owning your domain, technical leadership, advocacy for Atlassian, empathy for customers, lifelong learning, and driving business outcomes.

The Principal Incident Responser at Atlassian (based in Australia) leads incident response from initial triage to remediation and drives the development of incident response tools, systems, and playbooks to improve security posture. The role requires a broad security background, strong problem-solving abilities, and excellent communication skills, with emphasis on teamwork, innovation, and dedication within the Security Detection and Response team. Responsibilities include leading the region's security incident response for Severity 0/1 incidents, driving complex investigations, cross-team coordination, and managing communications to executives and key stakeholders such as Legal, Privacy, and Communications. The role serves as the primary liaison with external bodies (law enforcement, CERTs, ISACs), mentors team members, owns and delivers projects to advance incident response capabilities, and conducts regular training exercises and post-incident reviews. It also involves collaborating with other security teams on long-term strategies to prevent future incidents, producing Atlassian-specific threat intelligence, and staying current with security trends and emerging risks.

The Principal Incident Responser at Atlassian (Australia) leads planning and execution of incident response from initial triage to remediation, including developing tools, systems, and playbooks and managing information security incidents to advance the company’s security posture. The ideal candidate brings broad experience across security domains, strong problem-solving abilities, and excellent communication, within a culture that values teamwork, innovation, and dedication in Security Detection and Response. Responsibilities include leading the region’s security incident response, providing technical leadership during critical (Severity 0/1) incidents, coordinating investigations, and managing communications to executives and stakeholders such as Legal, Privacy, and Communications, while serving as the primary liaison with external bodies like law enforcement, CERTs, and ISACs. The role also involves coaching and mentoring, delivering projects to enhance incident response capabilities, conducting training exercises and post-incident reviews, and collaborating with other security teams to develop long-term prevention strategies and threat intelligence. It requires staying current with security trends, threats, and technologies to ensure readiness for emerging risks.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) alongside airfocus to help teams turn ideas into reality and drive transformation at scale. The company stresses core values like innovation, excellence, empowerment, initiative, ownership, and teamwork, and maintains a diverse, respectful, inclusive culture with a hybrid, flexible work model. Their Developer Platform team focuses on embedding Lucid within tools customers already rely on, such as Slack, and exposing APIs to power Lucid AI, MCPs, and the broader integration ecosystem, with a Senior Product Manager to own that strategy. The role entails cross-functional collaboration, being an advocate for customers, owning multi-project roadmaps aligned to company strategy, shepherding features from ideation through analysis and iteration, and using qualitative and quantitative metrics to validate ideas and optimize usage and outcomes. Requirements include a bachelor’s degree or equivalent, 5+ years in software product management, a track record leading cross-team platform initiatives in B2B SaaS, ability to de-risk through quick hypothesis validation, and strong communication across engineers, sales, executives, and end users; preferred qualifications cover platform/API strategy, SaaS admin experience, rapid prototyping/AB testing, mentoring, and autonomy in ambiguous environments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The company emphasizes innovation and excellence, values empowerment and teamwork, and supports a respectful, inclusive culture with a hybrid, flexible work model. The role is Senior Product Manager for the Developer Platform, responsible for embedding Lucid in customers' tools (like Slack) and expanding its APIs to power Lucid AI, MCPs, and partner integrations. Key responsibilities include cross-functional collaboration, advocating for customers, owning roadmaps aligned to company strategy, guiding features through ideation to iteration, and using qualitative and quantitative data to optimize usage and business impact. Requirements include 5+ years of B2B SaaS product management, the ability to influence across engineers, sales, and executives, and preferred qualifications around platform/API strategy, SaaS tooling, rapid prototyping, mentoring, and autonomous work in ambiguous, cross-functional environments.

Lucid Software is an AI-driven work-acceleration company offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, with a mission to turn ideas into reality, a set of core values centered on innovation, excellence, empowerment, initiative, and teamwork, and a hybrid, inclusive work culture. The Security Analyst role focuses on protecting corporate assets and leading day-to-day GRC operations, third-party risk assessments, and championing customer trust within Lucid's security team. Responsibilities include conducting third-party vendor risk assessments and internal risk evaluations, responding to vendor security questionnaires, collecting evidence for SOC 2 and ISO 27001 audits, proactively identifying threats, delivering security awareness training, ensuring regulatory compliance, and collaborating with Legal, Engineering, IT, Finance, and HR. Requirements include a bachelor’s degree in information security, business management, or related field; 3+ years of experience in third-party risk management and GRC; knowledge of frameworks like NIST 800-53, ISO 27001, SOC 2; strong organizational, documentation, and interpersonal skills; and the ability to communicate security concepts to both technical and non-technical stakeholders. Preferred qualifications include SaaS/cloud experience, risk-management expertise, certifications such as CRISC, CISSP, CISA, SSCP, CC, Security+, strong cloud platform knowledge (AWS, GCP, Azure), process-improvement and automation skills, and the ability to leverage AI tools to enhance workflows.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation at scale. The company upholds values of innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive culture in a hybrid work environment. As a Security Analyst, you will protect corporate assets and customer-facing applications, focusing on day-to-day GRC operations, third-party risk assessments, and supporting vendor security questionnaires while collecting evidence for SOC 2 and ISO 27001 audits. You will identify threats, develop practical security solutions, deliver security awareness training, ensure regulatory compliance, and partner with Legal, Engineering, IT, Finance, and HR to implement improved security controls and workflows. Required qualifications include a bachelor’s degree and at least 3 years in third-party risk management and GRC, knowledge of security frameworks (NIST 800-53, ISO 27001, SOC 2), strong cross-functional communication, with preferred qualifications in SaaS/cloud environments, relevant certifications (CRISC, CISSP, CISA, etc.), cloud platform experience, process improvement, automation, and the use of AI tools.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, with core values of innovation, excellence, empowerment, initiative, ownership, teamwork, and a respectful, inclusive culture in a hybrid workplace. They are seeking a hands-on, self-driven Sales Enablement Manager to lead onboarding, performance coaching, and the development and delivery of high-impact enablement programs for EMEA sales teams, partnering with EMEA sales leadership, frontline managers, cross-functional partners, and global enablement peers. Responsibilities include serving as the primary enablement partner for all EMEA sales roles, customizing global programs for regional needs, facilitating live workshops, reinforcing initiatives post-launch, designing coaching plans, supporting new product launches, creating enablement assets, staying close to the field, and using data-driven insights and AI to measure impact and tailor coaching. The role covers new hire onboarding and ramp, overseeing onboarding sessions, practice workshops, one-on-one coaching, tracking progress, identifying struggles, and coordinating with managers to ensure new hires reach key milestones in their first 90 days. Requirements include 4+ years in SaaS sales or sales enablement with a proven track record of measurable coaching results, preferred coaching certification, experience with AI tools, strong facilitation, familiarity with MEDDPICC/Challenger/Command of the Message/Sandler/ValueSelling, experience with Salesforce, Gong, ZoomInfo, English fluency, and a hybrid setup with two in-office days per week in Amsterdam; German is strongly preferred and Dutch optional.

Lucid Software positions itself as a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation at scale. The company upholds values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, and it fosters a diverse, respectful, inclusive culture with a hybrid, flexible work model. The role is a hands-on, self-driven Sales Enablement Manager for North America Commercial Sales, working within the Field Enablement team to partner with sales leadership and cross-functional partners to deliver onboarding, coaching, and regionally relevant enablement programs that support fast ramp and consistent sales execution. Key responsibilities include regional enablement and field readiness, designing workshops, coaching reps and managers, supporting new-hire onboarding and ramp, creating enablement assets, and using data-driven insights and AI tools to measure impact on metrics like time-to-productivity and quota attainment. Requirements include 4+ years in sales or enablement in SaaS, proven coaching success, formal coaching training, experience with sales methodologies (MEDDPICC, Challenger, etc.), familiarity with tools like Salesforce, Gong, and ZoomInfo, and a hybrid working arrangement at the South Jordan, UT office two days per week (Tuesday and Thursday).

Lucid Software is the leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform workflows at scale. The company emphasizes core values of innovation, excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, respectful, and inclusive culture with a hybrid work model. Lucid is ranked #13 among Fortune 500–level business applications, counting Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, with over 100 million users and continuing rapid growth. The Professional Services Consultant role serves as a trusted advisor and delivery lead, translating complex enterprise challenges into clear visual strategic roadmaps and collaborating with enterprise buyers and IT stakeholders to accelerate product adoption and renewals. Responsibilities include designing customized engagements for Fortune 500 clients, guiding transformations and change management, extracting insights to influence the product roadmap, and promoting the Professional Services brand, while requirements call for 5+ years in a highly consultative role, knowledge of AI/process management or enterprise architecture, cloud environment exposure, and a hybrid Raleigh, NC work arrangement; preferred qualifications include a master’s degree, prior R&D or software development experience, relevant certifications, and experience leading large-scale global SaaS deployments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, which, with accelerators for cloud and process transformation, helps organizations streamline work, align, and transform at scale. Its core values include innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, plus a commitment to a diverse, respectful, and inclusive culture; it operates as a hybrid workplace with remote, in-office, or blended options. Lucid is widely adopted, ranked #13 among Fortune 500 business apps, with clients like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile, and serves over 100 million users while continuing to grow rapidly. The Professional Services Consultant role acts as a trusted advisor and delivery lead within Lucid’s Professional Services, engaging enterprise accounts to maximize investment in the Visual Collaboration Suite, translating complex challenges into clear, visual roadmaps, and collaborating with enterprise buyers, IT stakeholders, and product teams to optimize processes and drive adoption, renewals, and new revenue opportunities. Requirements include 5+ years in a highly consultative, customer-facing role, understanding of AI, process management, or enterprise architecture, exposure to cloud environments, and experience presenting to Director-level or C-suite stakeholders, with a hybrid work arrangement in South Jordan, UT two days per week; preferred qualifications include a Master’s degree, prior engineering/R&D experience, relevant certifications, and experience leading large-scale global SaaS rollouts.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help organizations transform cloud and processes at scale, with over 100 million users and clients like Google, GE, Siemens, VW, NBCUniversal, JLR, and T-Mobile, and a rapidly growing user base. The company emphasizes core values of innovation, passion and excellence, ownership, initiative, and teamwork over ego, and maintains a diverse, respectful, inclusive culture with a hybrid work model. The Technical Product Support Specialist on the Customer Operations team will be on the front lines with Lucid’s customers, driving solutions through professional communication and cross-functional collaboration, helping launch new products, and shaping help centers, online communities, and email support. Responsibilities include maintaining product expertise, investigating and resolving issues, collaborating with Engineering and Product Management on bugs, monitoring key user metrics, growing and managing a Lucid product community, and contributing to clear Help Center content and user education. Requirements include 2 years of experience or a bachelor’s degree, strong ownership and independence, the ability to translate complex ideas into simple content, excellent verbal and written communication and analytical skills, and a hybrid South Jordan, UT schedule (in-person two days per week on Tuesday and Thursday), with preferred qualifications in system optimization, basic project management, teaching or mentoring, UX understanding, technical troubleshooting, and AI/LLM familiarity.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation at scale. The company emphasizes core values of innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive culture with a hybrid, flexible work environment. Lucid serves over 100 million users and counts Fortune 500 firms and major organizations like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, continuing rapid growth by attracting hundreds of thousands of new users each month. The Technical Product Support Specialist on the Customer Operations team will be on the front lines with customers, drive solutions through cross-functional collaboration, help launch new products and features, and build and manage a dynamic product community plus helpful content for millions of users. Requirements include about 2 years of experience or a strong degree, a strong sense of ownership, ability to work independently and cross-functionally, translate complex technical ideas into simple content, excellent communication and analytical skills, and a hybrid Raleigh, NC role with in-office days on Tuesday and Thursday; preferred qualifications include experience in project management, UX, AI/LLMs, and mentoring.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform work at scale. The company emphasizes values of innovation, excellence, empowerment, initiative, ownership, and teamwork, and maintains a respectful, inclusive culture within a hybrid work environment. They are hiring a Product Manager to advance AI-focused products on a team dedicated to innovation and new product discovery, including collaborative AI, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify, test, and de-risk new AI capabilities through prototypes and experiments, improving product development and evaluation practices, and owning AI platform capabilities from strategy through launch in collaboration with engineering, design, data science, and product teams. Requirements include 4+ years of PM experience in B2B SaaS, experience bringing agentic AI to market in fast-moving environments, strong understanding of modern AI systems and evaluations, exceptional product judgment, and proven cross-functional collaboration; preferred qualifications include leading innovation or new product discovery teams, experience with visual collaboration platforms, and mentoring other PMs.

Lucid is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to streamline work and drive transformation, guided by values of innovation, excellence, empowerment, initiative, and teamwork in an inclusive, hybrid workplace. The company is hiring a Product Manager to advance AI-powered products, joining a team focused on innovation, emerging technologies, and AI, including collaborative AI products, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify and de-risk new AI capabilities, validate customer value through prototypes and experiments, improve product development and evaluation processes, stay at the forefront of AI, and own AI platform capabilities from strategy to launch. Requirements include 4+ years of PM experience in B2B SaaS, experience bringing agentic AI products to market in fast-moving, evolving environments, strong understanding of AI systems (agent architectures, RAG, evaluations) and tradeoffs, and proven cross-functional collaboration. Preferred qualifications include leadership of innovation or new product discovery teams, experience with visual collaboration or digital whiteboarding platforms, and mentoring other PMs on AI product lifecycle practices.

Lucid Software positions itself as a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. The company highlights core values of innovation, excellence, empowerment, initiative, ownership, and teamwork, and promotes a respectful, inclusive culture with a hybrid, flexible work model. The Raleigh Office Manager is a part-time role (20-25 hours per week) with a fixed in-office afternoon schedule from Monday to Friday, 12:00 PM to 5:00 PM. The role covers facility management, equipment moves, office cleanliness, technology coordination, kitchen and coffee service, cleaning tasks, catering, events and office culture coordination, after-hours availability, culture initiatives, shipping, employee support, and various workplace projects. Requirements include at least one year of office experience, ability to work in-office five days on the provided schedule, strong communication and customer service, multitasking, proficiency with G-Suite or Office 365, ability to lift 25-50 lbs, and a collaborative attitude; preferred qualifications include facilities management experience and experience in a high-tech environment.

Lucid Software leads AI-driven work acceleration with the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, plus accelerators for cloud and process transformation to streamline work and drive large-scale transformation. The company emphasizes core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, respectful, inclusive culture and a hybrid work model. Lucid is widely used, ranked #13 among Fortune 500 companies’ most-used business apps, with customers including Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile, and it counts over 100 million users with rapid growth in new user acquisition each month. The Sales Development Representative (SDR) for EMEA partners with the Account Executive team to identify and grow new Lucid Visual Collaboration Suite opportunities, handling outbound prospecting, inbound lead qualification, needs assessments, online product demos, and sales-cycle support while maintaining records and participating in trainings. Requirements include a BA/BS, strong problem-solving and communication skills, sales experience or interest, ability to manage multiple projects and meet deadlines, fluent English, and a hybrid Amsterdam-based role with two in-office days per week (Tuesday and Thursday); preferred qualifications include fluency in German, French, or Nordic languages and adaptability in a fast-paced environment.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform work at scale. The company emphasizes core values—innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego—and supports a respectful, inclusive culture in a hybrid workplace with flexible remote or office options. The New Logo Account Executive role in Amsterdam drives strategic net-new customer growth with a hunter mentality, engaging potential customers across multiple personas after qualification to create business value. Responsibilities include proactive outbound prospecting, generating and closing new pipeline across segments, managing a book of accounts with reliable forecasts, maintaining expert product knowledge, understanding the competitive landscape, sharing market insights with product and marketing, and exploring new markets, verticals, and personas. Requirements include 3+ years of SaaS closing experience with mid-to-large customers, excellent written and verbal communication, a BA/BS, fluency in English, and the role prefers German or Nordic language skills, Salesforce/Gong experience, and the ability to manage many prospects; the position is hybrid with two office days per week in Amsterdam (Tuesday and Thursday).

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform cloud and process workflows at scale. The company-upholds core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, inclusive culture in a hybrid work environment. Lucid serves over 100 million users and counts Fortune 500 and global brands like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, with rapid growth and hundreds of thousands of new users each month. The current APAC opportunity is for a strategic Business Development Representative who partners with Account Executives, uses multi-channel outreach, and develops deep product knowledge to drive deals, supported by Salesforce, Salesloft, and ZoomInfo. The role requires 6–12 months of sales or customer-facing experience, strong communication and coachability, and a hybrid Melbourne-based setup (two days in the office); preferred qualifications include SaaS experience, a track record of quotas or pipeline success, and a degree.

Zendesk is offering a nine-week, full-time summer internship in Global Revenue Operations (RevOps) with a hybrid, largely onsite schedule in Madison, WI, starting in early June and requiring about 40 hours per week, plus a dedicated mentor. The role emphasizes internal process improvements and AI-driven optimizations to enhance product monetization, pricing strategies, operational efficiency, and auditability across transactions, with substantial on-site collaboration to foster growth. Key responsibilities include implementing RevOps process improvements and automation (including AI-driven), integrating legacy customers from mergers and acquisitions, performing UAT in commerce-to-cash systems, documenting workflows, conducting data extracts, and learning systems like Stripe, Zuora, Salesforce, CPQ, and Zendesk Support. Requirements are active enrollment in a relevant degree program, strong G-Suite/Zoom skills, preferred familiarity with Salesforce/Zuora, US work authorization, and preferably residing in or near Madison, WI; compensation ranges from $26.44 to $39.90 per hour, with potential bonus/benefits, and a hybrid schedule determined by the hiring manager. Zendesk emphasizes diversity, equity, and inclusion, is an equal opportunity employer, may use AI screening, and offers accommodations for applicants with disabilities.

This is a ten-week, full-time Financial Analysis & Strategy Intern role at Zendesk, running from June 7, 2027 to August 6, 2027, designed to inform and guide C-level decisions through forecasting and analysis. Key responsibilities include analyzing financial results, building and maintaining financial models, managing budgets, implementing process improvements, and delivering high-precision forecasts and P&L reporting to support cross-functional alignment and executive decision-making. Requirements include currently pursuing a bachelor’s degree with planned Spring 2028 graduation in Finance/Accounting/Economics/Business or a technical field, experience with modeling and data, strong Excel/GSuite skills, familiarity with ChatGPT and other LLM tools, and a positive, AI-forward, team-oriented mindset with strong problem-solving abilities. Compensation is an hourly base rate ranging from $31.25 to $61.00 in the US, with potential bonuses or benefits, and a hybrid work arrangement with some in-office days as determined by the hiring manager. Zendesk emphasizes diversity, inclusion, and accessibility, notes that AI screening may be used in applications, and offers accommodations on request.

Zendesk’s Finance & Strategy team is seeking a ten-week Financial Analysis & Strategy Intern (June 7–August 6, 2027) to serve as a trusted advisor to C-level decisions through forecasting, financial modeling, and actionable insights to help the company scale. The role involves analyzing financial results, building and maintaining models, managing budgets with executives, implementing process improvements and automation, delivering high-precision forecasts, and supporting monthly/quarterly P&L reporting while fostering cross-functional alignment. Candidates should be pursuing a bachelor’s degree with planned Spring 2028 graduation, have experience with financial modeling and data, strong Excel/GSuite skills, and familiarity with ChatGPT/LLMs. Preferred qualifications include an AI-first, analytical mindset, a fast learner, teamwork and professional growth orientation, strong work ethic, reliability, and attention to detail, with a US hourly base pay range of $31.25–$61.00 and potential bonuses or benefits. Zendesk emphasizes a hybrid, inclusive culture, notes that AI may be used to screen applications, and is an equal opportunity employer that provides accommodations upon request through the listed contact.

The role is an AI Success Strategist at Zendesk, responsible for leading end-to-end delivery of customers’ AI roadmaps, translating product capabilities into business strategy, and shaping a long-term AI vision with executive partnerships to start initiatives strongly and scale them. You’ll own multi-year AI roadmaps, coordinate cross-functional delivery across Product, Services, Sales, and Partners, serve as the design authority for deployments, and maintain mutual AI roadmaps with ongoing adoption and value realization. Performance is measured by high customer satisfaction, increased automated resolution usage, improved retention, renewals, and revenue growth, with a focus on data-driven adoption metrics and measurable outcomes. Requirements include 10+ years in Customer Success/Experience, 2+ years in AI-related work, enterprise SaaS/GTM experience, strong analytics for churn and expansion, a relevant bachelor’s degree (advanced degrees or AI strategy/project management certifications preferred), and strong program management with cross-functional influence; AI domain expertise is a plus. The role is hybrid, with in-office expectations, and Zendesk emphasizes fairness, inclusion, and the use of AI screening in the hiring process.

Figma is expanding its Finance Data Science team to build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications as the company scales. The Finance Data Scientist will own and improve data models for ARR, revenue, billings, and other metrics; build scalable reporting and forecasting systems; drive data accuracy during month-end, quarter-end, and year-end closes; collaborate with Engineering, Product, and Finance teams; and serve as a trusted partner to finance leaders. Requirements include 3+ years in data science/analytics/finance, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights, with nice-to-haves like SaaS models, ASC 606, modern analytics tools, and IPO readiness. This is a full-time role that can be remote in the US or based in one of Figma’s US hubs; the base salary range is $140,000–$348,000 with equity and a comprehensive benefits package including health/dental/vision, retirement contributions, parental leave, mental health and wellness benefits, PTO, sick leave, holidays, and other perks; accommodations are available. Figma emphasizes Grow as you go, inclusive hiring, and encourages applicants even if their background doesn’t perfectly align; candidates must keep cameras on during video interviews and will have in-person onboarding, with compensation and benefits subject to plan terms and potential changes.

Figma is expanding its Finance Data Science team to build the data foundations needed for financial reporting, forecasting, strategic decision-making, and investor communications as the company scales. The role collaborates with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure financial metrics are accurate, actionable, and trusted across the business. You will own and improve data models for ARR, revenue, billings, and other metrics; build scalable reporting systems and forecasts; drive data accuracy across month-end, quarter-end, and year-end close; conduct deep-dive analyses; define and operationalize metrics; and serve as a trusted finance thought partner. Requirements include 3+ years in data science/analytics/finance/related fields, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights; independent project execution is valued. Compensation includes a base salary range of $140,000–$348,000 plus equity and a comprehensive benefits package; Figma is an equal opportunity employer that provides accommodations; candidates should note interview camera-on requirements and in-person onboarding, with personal data processed per the Candidate Privacy Notice.

Figma is expanding its Data Science internship program in San Francisco or New York, with an emphasis on helping cross-functional teams make data-driven decisions across product, engineering, design, marketing, sales, and operations. Interns will own end-to-end projects—from framing questions with partners to delivering analyses, designing and evaluating experiments, building models, and creating scalable data tools with real business impact. Potential projects include analyzing product adoption and engagement, developing new analytical methods or tools, studying marketing or customer journeys, and building forecasts to anticipate trends. Candidates should have experience with SQL and Python or R, a solid foundation in statistics (including experimentation, forecasting, causal inference, or data modeling), and strong communication skills for technical and non-technical audiences. The internship offers $46/hour pay, housing stipend, travel reimbursement, and Figma’s commitment to diversity and accessibility, with in-person onboarding and cameras-on during video interviews.

Figma is hiring an Account Executive, Mid-Market to drive sales and maximize revenue by targeting 500-5000 FTE customers, building executive relationships, and delivering innovative solutions across Figma’s platform. The role can be based in a US hub (in-office 2 days/week) or remote in the United States and involves maintaining a targeted book, conducting discovery, and creating account plans to identify expansion opportunities while multi-threading at a senior level. Ideal candidates have experience closing multi-year SaaS deals with existing customers, meeting pipeline targets, and managing complex 3–9 month sales cycles, with a preference for experience selling to technical executive audiences. Figma offers equity and a competitive benefits package including health, dental, vision, retirement contributions, parental leave, mental health benefits, paid time off, and sales incentives, with a base salary of $110,000 and an annual bonus plan for eligible roles, while promoting a Grow as you go mindset and encouraging applicants who may not meet every listed qualification. They require cameras on during video interviews, in-person onboarding, provide accommodations on request, and process candidate data under Figma's Candidate Privacy Notice to ensure privacy and equal opportunity.

Figma is expanding its team of creatives and builders to make design accessible, offering a platform that supports brainstorming, prototyping, translating designs into code, and AI-assisted iteration for real-time collaboration from anywhere. The Account Executive, Mid-Market role focuses on maintaining and growing a targeted book of mid-market customers (500–5000 FTEs), aligning with executives on critical priorities, and driving enterprise-wide deployments across Figma’s platform. You will create account plans, use discovery and value-selling to build senior-level sponsorship, collaborate cross-functionally to move deals forward, and expand relationships through in-person executive engagement and networking. Requirements include multi-year software/SaaS sales experience with a book of customers under 5000 FTEs, a track record of pipeline generation, and managing complex 3–9 month sales cycles, with added value for experience selling to technical executive audiences and certifications in deal qualification or prospect discovery. Figma offers a base salary of $110k, equity, and a comprehensive benefits package (health/dental/vision, retirement, parental leave, mental health, PTO, and incentives), is an equal opportunity employer, provides accommodations, requires cameras on during video interviews and in-person onboarding, and processes candidate data under its privacy notice.

Sentry is an application monitoring platform trusted by over 200,000 organizations, helping developers fix errors and performance issues quickly so teams can build more. As a Senior Software Engineer on the Issue Detection team, you’ll design, build, and operate real-time processing pipelines and analysis systems that decide which events signal a problem and how they are grouped into issues. You’ll work on end-to-end features that handle billions of events daily, balancing detection accuracy and processing latency, and shape how developers monitor apps and how issues are surfaced to humans and AI agents. Ideal candidates are distributed-systems engineers with a product focus and full-stack instincts, 5+ years of full-stack experience (Python and TypeScript), strong domain modeling, and familiarity with PostgreSQL, ClickHouse, or Kafka. Sentry emphasizes equal opportunity and accommodations, supports a diverse and inclusive culture tied to its open-source mission, and provides details in its Applicant Privacy Policy.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products and to earn and maintain customer trust at scale. As Senior Manager, you will lead an AMER-based team, collaborate with Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to trust and security practices, processes, and customer engagement, including acting as the primary contact for strategic & enterprise escalations and supporting executive briefings. You will contribute to strategic planning, shape an enterprise strategy aligned with Atlassian’s Trust objectives, drive tooling and process improvements, and support legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in management roles across Security/Governance/Risk/Compliance, proven leadership and cross-functional influence, experience scaling trust programs, use of AI tools to improve efficiency, familiarity with AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with Regulatory Compliance, Global Privacy, and Large-scale Cloud solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity; the Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive the growth and expansion of how Atlassian earns and maintains customer trust, overseeing the team's interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. They will focus on enhancing Trust & Security practices, improving internal processes, influencing product features, and strengthening customer engagement, while enabling customers' trust by meeting diverse expectations regarding Atlassian Cloud products. Responsibilities include providing leadership for an AMER-based team, contributing to strategic planning with senior leadership, driving scalable processes and tooling, partnering cross-functionally, serving as the primary contact for strategic and enterprise customer escalations, and supporting executive briefings and security/compliance negotiations for customer agreements. The role requires 10+ years in security/governance/risk/compliance management, experience mentoring high-performing teams, ability to influence cross-functional teams, experience scaling trust programs, familiarity with AI tools and AI security/compliance considerations, knowledge of certifications (FedRAMP, ISO 27001, PCI-DSS), and experience in Regulatory Compliance, Global Privacy Programs, Cloud Security, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where the company has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers conduct risk assessments to trust Atlassian Cloud products and to continually improve the Trust Program. - As Senior Manager, you will lead an AMER-based team, drive growth of customer trust, oversee cross-functional interactions with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, and influence internal processes and product features to strengthen customer engagement. - You will serve as the primary contact for strategic and enterprise customer escalations, support executive briefings, and work with Legal to negotiate security and compliance terms while driving process improvements and post-incident reviews. - The role requires 10+ years in management across Security, Governance, Risk, and Compliance; experience scaling trust programs; strong cross-functional influence; familiarity with AI tools and AI security considerations; and knowledge of certifications (e.g., FedRAMP, ISO 27001, PCI-DSS) plus experience with large-scale enterprise cloud solutions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role is Senior Manager in the globally distributed Trust Engagement team, a group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. You will lead an AMER-based team and partner with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support to improve processes, tooling, and customer engagement, and serve as the primary contact for strategic and enterprise escalations and executive briefings. You will contribute to strategic planning for the Trust Engagement function and support legal in negotiating security and compliance terms for Atlassian Customer Agreements. The candidate should have 10+ years of management experience in Security, Governance, Risk, and Compliance (GRC), a track record of scaling trust programs across large organizations, experience with AI tools and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience in regulatory compliance, global privacy programs, and cloud security for large-scale enterprise solutions.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products, and the team is growing to strengthen its trust program and narrative. As Senior Manager, you will drive growth and expansion of how the company earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead a high-performing AMER-based team. You will lead strategic planning, process and tooling improvements, cross-functional partnerships, manage strategic and enterprise escalations, support executive briefings, and assist legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security/privacy considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, along with experience in regulatory compliance, global privacy programs, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire anywhere with a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments needed to trust Atlassian and its cloud products. - As Senior Manager, you will lead an AMER-based team, drive growth and expansion of customer trust, and partner with Security, Go-To-Market, Compliance, Privacy, Legal, and Customer Support to improve processes and engagement. - You will act as the primary point of contact for strategic and enterprise escalations, support executive briefings, assist legal in negotiating security and compliance terms for customer agreements, and drive scalable trust programs. - Candidates should have 10+ years in security/GRC management, demonstrated leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security considerations, and knowledge of certifications like FedRAMP, ISO 27001, PCI-DSS, plus experience with cloud security in large enterprises.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, and hires people in any country where it has a legal entity. The role is Senior Manager, Trust Engagement, leading a globally distributed team of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products, with collaboration across Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. You will provide leadership to a high-performing AMER-based team, shape strategic planning for the Trust Engagement function, drive process, tooling, and reporting improvements, and act as the primary contact for Strategic & Enterprise customer escalations. You will support Atlassian Executive Briefings, assist in negotiating security and compliance terms for Customer Agreements, and require 10+ years in security/governance/risk/compliance with cross-functional influence and a track record of scalable programs, plus experience using AI tools to improve efficiency and familiarity with AI security/compliance considerations and relevant certifications. The role aims to enhance customer trust at scale by improving internal processes and product features to meet current and future customer expectations.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country with a legal entity to help employees balance family, personal goals, and priorities. The way people find and use knowledge at work is changing: AI agents must understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called context-layer across the enterprise ecosystem, with their team working at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. They are solving problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, presenting an opportunity to shape search in the agent era. The role involves building systems for AI agents to discover information, reason over enterprise knowledge, and choose capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with considerations of permissions, freshness, latency, trust, heterogeneous data, and multi-tenant systems.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition and data exploration to model development, experimentation, evaluation, deployment, and optimization, partnering with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions. You will design and implement state-of-the-art ML algorithms for production, own ML projects end-to-end, and design robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design and execute rigorous experiments and evaluations, collaborate with cross-functional teams to integrate AI capabilities into Atlassian products, translate research into reliable production-quality systems, identify opportunities to improve model performance and customer outcomes, communicate decisions and results clearly to technical and non-technical audiences, and mentor others while contributing to technical strategy and a culture of experimentation and iterative delivery.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence group to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Atlassian offers flexible work options and hires in any country where it has a legal entity. In this role you will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the entire ML lifecycle from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class part of AI development, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and guiding product and engineering decisions, while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. You will design scalable architectures, apply modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models; conduct offline and online evaluations, build datasets and pipelines, communicate technical decisions clearly, mentor engineers, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the customer lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, while striving for durable business value. Requirements include 5+ years in ML, a Bachelor’s or Master’s degree (preferably CS), strong Python (plus Java/Typescript), SQL, Spark, cloud data environments, and experience delivering large-scale ML in business applications, with the ability to communicate ML concepts to diverse audiences and a pragmatic, iterative mindset. Nice-to-have: experience in consumer or B2B SaaS contexts, familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, and collaboration with product/analytics/marketing/sales to build personalized journeys.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder in the text for inserting a job description. Overall, the message emphasizes adaptable work arrangements and international hiring capabilities.

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Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This flexibility gives them more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the message emphasizes flexible work options and broad global hiring.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting family needs, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating a job description will be inserted. Overall, the message emphasizes flexible work options and broad international hiring capability.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility helps Atlassians better support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating that a job description should be inserted. Overall, the text emphasizes flexible work arrangements and global hiring capabilities.

Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, it emphasizes flexible work arrangements and global hiring options at Atlassian.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally to build a 100-year company with empowered engineering teams and the right tools. Engineering at Atlassian prioritizes AI and the transition to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, champion a high technical standard across Atlassian, and drive cross-functional, company-wide initiatives. You will transfer knowledge, share best practices, and mentor the next generation of technical leaders to improve engineering excellence. The ideal candidate has 10+ years of full-stack experience (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication and mentoring skills, a focus on customer impact in decision-making, and familiarity with A/B testing.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees control over family and personal priorities. It aims to build a 100-year company through a world-class engineering organization of empowered teams, focused on AI and the cloud transition for customers, while delivering value through Jira, Confluence, Trello, and Bitbucket. Atlassian seeks individuals eager to shape the future and collaborate to achieve extraordinary results. In this role, you will tackle the largest and most complex problems, provide technical leadership, address architecture challenges, raise the technical bar, collaborate on company-wide initiatives, share best practices, and mentor future technical leaders. Requirements include 10+ years of full-stack experience with languages such as Java, Scala, Node, JavaScript, or React; a CS degree (or equivalent), deep systems engineering experience at scale (testing, reliability, security, observability), strong communication, mentoring ability, customer-focused decision making, and familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to Atlassian’s Teamwork Graph. The team also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. Atlassian offers flexible work arrangements and hires in any country where they have a legal entity, giving teams control over office, remote, or hybrid work. The role will lead the development and implementation of cutting-edge ML algorithms and models, collaborate with product, engineering, and analytics teams, design architectures, drive rigorous experimentation, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

Atlassian supports flexible work arrangements—employees can work in an office, from home, or a mix—and hires in any country where the company has a legal entity. In this role, you’ll be the Manager, Customer Success Architects (AI), leading a pod that drives adoption of Atlassian's AI platform, Rovo, and delivers real, measurable business value in production. You’ll hire, coach, and develop Customer Success Architects (AI), own pod-level operations, capacity planning, engagement quality, and adoption metrics, ensuring engagements progress from initial activation to outcomes. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering to deliver solutions, surface product friction, influence roadmap priorities, and help expand AI use cases across new markets, with collaboration across Account Teams, CSMs, and Sales leadership. On day one you’ll lead with people management and enablement, maintain playbooks and product updates, align pod capacity with pipeline, advocate cross-functionally, and travel up to 15% while complying with GDPR and EU AI Act requirements.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and other priorities. The company is hiring a Senior Incident Response Analyst with strong technical skills in threat analysis and incident management to protect Atlassian’s corporate and cloud environments and safeguard data for Atlassian, its customers, and partners. Key responsibilities include acting as an escalation point for security incidents, investigating logs across multiple sources, conducting post-incident reviews, participating in on-call rotations, developing automated response capabilities, leading incidents, and performing threat hunting, forensics, playbook development, and tabletop exercises. Qualifications include 5+ years in a security domain, specialization in areas such as malware analysis or threat hunting, experience with AI-assisted tools, programming or scripting in languages like Python, Ruby, Java, or Go, cloud experience (AWS/GCP), project delivery, open-source contributions, and strong communication skills. The role sits within Atlassian’s Security Detection and Response organization, and the company values diverse skills, collaboration with development teams, and ongoing security improvements across products and engineering practices.

Atlassian supports flexible, location-agnostic work and hires globally where it has a legal entity. They are seeking a Senior Incident Response Analyst/Incident Responder with strong technical skills, threat analysis expertise, and a solid background in incident management to safeguard Atlassian's and customers' data and systems across corporate and cloud environments. The role involves leading security incidents, hunting for signs of compromise, developing and automating response strategies, and collaborating with cross-functional teams to enhance security posture, with day-to-day duties including escalation, log analysis, post-incident reviews, on-call duties, threat hunts, tooling and automation, playbooks, evidence collection, and tabletop exercises. Requirements include 5+ years in security, specialization in areas such as malware analysis/forensics/threat hunting/network analysis/cloud endpoint analysis, experience with AI-assisted tools, programming/scripting languages, cloud experience (AWS/GCP), project delivery, and strong communication, with contributions to the security community or open source a plus. The role sits within Atlassian's Security Detection and Response organization, a cross-disciplinary group spanning Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering, which collaborates with development teams to improve product security and practices, with remote work options noted (#LI-Remote).

Zendesk is seeking a seasoned Sales Leader to run Commercial and Enterprise sales for the Greater China region (Mainland China, Hong Kong, Taiwan), based in Singapore and reporting to the RVP, Asia Sales. The role entails leading and mentoring the GCR teams, developing go-to-market strategies for Enterprise and Commercial segments, building trusted relationships with senior stakeholders, collaborating with marketing, product, customer success and channel partners, and owning pipeline management, forecasting, and deal progression with a data-driven approach using Salesforce. You will hire, develop, and retain top sales talent, navigate the GCR market with cultural sensitivity and regulatory compliance, and serve as the voice of the customer to inform product and service improvements. Requirements include 12+ years in Commercial/Enterprise sales with a sustained quota achievement, Mandarin fluency (Cantonese a plus), leadership of China-to-Global CX/CRM/AI market teams, proven revenue growth in complex environments, and strong analytical and stakeholder-influencing skills plus experience with direct and channel sales. Zendesk emphasizes hybrid work, global diversity and inclusion, and equal opportunity employment; it may use AI in screening, and provides accommodations for applicants with disabilities upon request.

Zendesk is hiring a Senior Software Engineer for the Employee Services organization in Krakow to tackle cross-organizational challenges, emphasizing clear communication, deep problem understanding, and collaboration. The role involves joining a self-organizing frontend team delivering core functionality for Employee Service products, with possible Ruby backend work, contributing through all software lifecycle stages, owning features and bugs, and participating in prototyping, code reviews, rapid deployments, and on-call support. Candidates should have a strong React/JavaScript frontend background, good communication and collaboration skills, willingness to own their work, flexibility to work across the stack, a growth mindset, and openness to GenAI and modern tooling. The Krakow office is hybrid with in-person requirements about 2 days per week, and the salary range is zł257,000 to zł385,000, with actual compensation determined by experience and capabilities and potential bonuses or benefits. Zendesk emphasizes fairness and inclusion, may use AI in screening, is an equal opportunity employer, provides accommodations for applicants with disabilities, and offers a contact email for accommodation requests.

Zendesk is seeking an Account Executive in Milan with a proven B2B sales track record, preferably with AI-sales experience, to grow the business and deepen Zendesk’s impact with customers. The role focuses on driving top-line revenue by acquiring new Italian customers, penetrating top-tier accounts, and cross-selling additional products to existing clients. You’ll manage key relationships, leverage data insights and adoption history, develop quarterly territory plans, and lead complex, value-centric sales cycles with proof-of-concept stages. Requirements include a BA/BS (or equivalent), 4+ years in cloud/software B2B/AI sales with a history of exceeding quotas, experience selling to C-level executives, strong negotiation and closing skills, familiarity with Salesforce/Outreach/Clari/Seismic/Looker, the ability to travel, and fluency in Italian and English. Zendesk emphasizes a hybrid, inclusive culture with equal opportunity employment, AI screening of applications, and accommodations for applicants with disabilities.

The role is a regional Expert Services Consulting leader at Zendesk (Austin and Madison) reporting to Bethany Neubauer, tasked with building and scaling a high-performing team that consistently delivers predictable, high-quality outcomes and accelerates customer adoption and value realization. You’ll establish operating rhythms, staffing discipline, and delivery standards, ensure engagements are staffed and delivered on time and within scope, and monitor utilization, capacity, and KPIs to surface risks and drive remediation that protects retention and expansion across ongoing services packages. You’ll partner cross-functionally to drive customer adoption, expansion, and retention, and you’ll innovate scalable delivery motions, embed continuous improvement, and coach the team through change using data- and AI-enabled tools to turn insights into measurable business impact. Basic qualifications include 7+ years in professional services/enterprise SaaS, 2+ years of people management, proven ability to manage multiple concurrent engagements, and strong analytical and communication skills; preferred qualifications include Zendesk Admin experience, AI tool experience, and advanced degrees, with US OTE of $160,000–$240,000 and a 91/9 base/commission mix and potential bonuses. Zendesk emphasizes a fulfilling, inclusive culture with a hybrid work model and equal opportunity employer policies, and notes that AI screening and accommodations may be used in the hiring process to support applicants.

The role is Senior Staff Engineer on Zendesk's Enterprise Data & Analytics team, leading the architecture and engineering of an AI-ready enterprise semantic data platform that unifies analytics, applications, and AI on trusted foundational data models. You will define the enterprise semantic architecture (metrics, dimensions, entities, relationships, grain, time semantics, and business context), establish reusable semantic contracts, evaluate long-term platform options (Snowflake Semantic Views, dbt Semantic Layer/MetricFlow, Cube), design metadata-driven capabilities, and guide conversational analytics and golden datasets while leading multi-team initiatives from PoC to production. You will mentor engineers, influence build-versus-buy decisions, and treat the platform as an internal product to improve adoption, documentation, onboarding, and migration from duplicate implementations. Basic qualifications include 10+ years in data engineering/architecture with at least 3+ years hands-on semantic layer experience, deep expertise with Snowflake/Databricks and dbt, strong SQL and programming skills, and excellent communication for collaboration across executives, architects, engineers, analysts, data scientists, and business stakeholders. Preferred experience includes Snowflake Semantic Views, dbt MetricFlow, Cube, LookML/Looker, or similar semantic platforms, plus familiarity with text-to-SQL, agent evaluation, deterministic vs probabilistic metric boundaries, and evaluating vendors or open-source platforms for adoption roadmaps; the data stack includes Snowflake, Kafka, Tableau/Looker, AWS, Kubernetes, Terraform, and CI/CD tooling, with a US base salary range of $200k–$300k and potential bonuses, while Zendesk supports hybrid work, diversity and inclusion, and reasonable accommodations.

Atlassian offers flexible work arrangements (office, remote, or hybrid), but this role requires you to be located in France, enabling support for family and personal goals. The company serves over 300,000 customers worldwide and aims to unleash every team’s potential through powerful software, driving customer impact and ongoing revenue growth, while fostering a culture of teamwork and shared success. Atlassian is leading responsible AI integration into cloud products, migrating customers to the cloud with cost transparency, faster collaboration, and accelerated business outcomes. The role involves steering a powerful sales strategy for a high-value, strategic customer base, understanding their long-term business goals, and crafting customized growth plans. You will develop and implement strategic sales and account plans, build relationships with key decision-makers and C-level executives, streamline processes with internal teams, lead negotiations, conduct market research, stay informed on industry trends, and provide performance updates to senior management, including travel and industry-event participation.

- Atlassian supports flexible work arrangements, letting employees choose to work from an office, from home, or a hybrid to better support family, personal goals, and other priorities. - The role requires you to be located in France and focuses on serving Atlassian’s global customer base of over 300,000. - Atlassian aims to unleash the potential of every team through its software, delivering exceptional customer impact and ongoing revenue growth, and it emphasizes a culture where employees work with Atlassian, not for Atlassian. - The company is leading the responsible integration of AI into its cloud products to migrate customers to the cloud, building trust through cost transparency, faster collaboration, and stronger business outcomes. - The role involves developing strategic sales and account plans for high-value customers, understanding their long-term objectives, positioning tailored solutions, coordinating with internal teams and partners, leading complex negotiations, staying informed on market trends, and engaging clients through travel and industry events.

The role is Principal Data Scientist at Atlassian, partnering with business leads to tackle high-impact analytics, strategy, and operations and turning data into compelling visualizations for leadership decisions. Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where the company has a legal entity. The position collaborates with cross-functional teams to apply quantitative analysis, experimentation, and data storytelling to develop strategies and address the business's biggest challenges. Responsibilities include developing hypotheses using multiple analytical approaches, testing opportunities, and forecasting and monitoring key product metrics to influence roadmaps and product development. The role emphasizes communicating insights through storytelling to leadership and ensuring the built products deliver value to people, businesses, and Atlassian.

The role is Principal Data Scientist, partnering with business leads to tackle high-impact analytics, strategy, and operations projects and to make foundational contributions. You will collaborate with cross-functional teams and use quantitative analysis, experimentation, and data visualization to develop strategies and solve the business's biggest challenges. You will develop hypotheses using multiple analytical approaches to test opportunities, aiming to improve products and influence roadmaps through insights and recommendations. You will forecast and monitor key product metrics to measure success, shape product development, quantify new opportunities, identify upcoming challenges, and ensure value for people, businesses, and Atlassian, while communicating insights through storytelling to leadership. Atlassian supports flexible work arrangements (office, home, or hybrid) with hiring in any country where a legal entity exists, and you will become a trusted strategic partner through structured work and collaboration across teams.

Atlassian offers flexible, distributed work options and hires globally with virtual interviews and onboarding. The Mid-Market Manager India role (based in India, with remote work or Bengaluru office) leads a team focused on acquiring and managing mid-market customers in the Asia region. Responsibilities include developing market penetration plans, elevating the Atlassian brand through executive engagement, analyzing data and trends, managing key client relationships, mentoring the sales team, recruiting, collaborating cross-functionally, and reporting to senior management. Candidates should have sales experience in India as both an individual contributor and a manager, plus experience building sales strategies for multiple countries/regions, understanding APAC cultural nuances, knowledge of Atlassian solutions in India, and a proven track record of meeting targets and generating pipelines. They should be proficient with CRM, pipeline management, and analytics tools, motivated to coach and mentor, and eager to challenge traditional sales models in a fast-paced international environment.

Atlassian offers flexible work locations—office, home, or hybrid—and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Mid-Market Manager India role is based in India (remote or Bengaluru office) and leads a team dedicated to acquiring and managing mid-market customers in the India region, developing strategies tailored to mid-market needs. Responsibilities include leading the mid-market sales team, expanding market share in the Asia-focused mid-market segment, elevating the Atlassian brand through executive engagement and events, analyzing data and market trends, managing key client relationships and negotiations, mentoring the team, setting performance goals, recruiting, and collaborating with cross-functional teams. The candidate should have experience in sales as both an individual contributor and a manager with India-based customers, plus experience building multi-country sales strategies that account for regional economic differences and APAC cultural nuances. A strong track record in hitting targets and pipeline goals, knowledge of solution selling and CRM/analytics tools, and a proactive, innovative approach to coaching and optimizing sales processes in a fast-paced international environment is desired.

The Strategic Account Director will own 3–5 of Adaptavist’s most strategically important global enterprise customers, responsible for multi-year growth strategies, executive relationships, and positioning Adaptavist as a long-term transformation partner, orchestrating cross-functional virtual teams to expand wallet share and sustainable account growth. They will lead and coordinate virtual teams across Sales, Presales, Delivery, Customer Success and partners to identify whitespace opportunities, generate pipeline, and perform value-based selling aligned to measurable business outcomes. They will develop customer-centric points of view, conduct structured discovery to uncover problems and drivers, build compelling business cases and value realization plans anchored in outcomes (e.g., Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, Cloud Migration), and apply MEDDPICC to qualify and progress opportunities. They will manage stakeholder relationships by enabling direct access to Economic Buyers and C-suite sponsors, building multi-threaded relationships across technology and business leadership, mobilizing internal champions, and navigating complex organizational structures and influencer networks. They will lead partner ecosystem initiatives with joint account strategies and co-sell, ensure operating rhythm and commercial excellence through CRM hygiene, forecast accuracy, quarterly reviews, governance, margin discipline, and involvement in QBRs, deal inspections and sales excellence initiatives.

The Strategic Account Director owns a portfolio of 3–5 of Adaptavist’s most strategically important enterprise customers—typically global organisations with the potential to generate more than £1m in annual gross margin—and is responsible for multi‑year growth strategies, deepening executive relationships, and positioning Adaptavist as a long‑term transformation partner, orchestrating virtual teams across Sales, Presales, Delivery, Customer Success and strategic partners to drive wallet share expansion and sustainable account growth. They will own and execute multi‑year growth plans across a portfolio of complex enterprise accounts, build executive‑level relationships across customer organisations, and lead and coordinate virtual strategic account managers and supporting teams across Sales, Presales, Delivery and Customer Success to identify whitespace opportunities and generate pipeline through value‑based selling. They will develop customer‑centric points of view that connect Adaptavist capabilities to measurable business outcomes, lead structured discovery to uncover problems and stakeholder motivations, build compelling business cases and value realization plans anchored in outcomes across Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, and Cloud Migration, and apply MEDDPICC to qualify, inspect and progress opportunities. They will establish direct access to Economic Buyers and C‑suite sponsors, build multi‑threaded relationships spanning technology and business leadership, identify and mobilise internal champions, navigate complex organisational structures, and partner with strategic allies to develop joint account strategies, execute partner‑involved deals with co‑sell structures and margin management, and position Adaptavist as the preferred services and transformation partner within shared accounts. They will maintain operating rhythm and commercial excellence by keeping CRM hygiene and forecast accuracy, leading quarterly account reviews and strategic planning sessions, driving commercial governance, deal quality and margin discipline through complex negotiations, and contributing to QBRs, deal inspections and sales‑excellence initiatives.

The Sales Specialist – DevOps & Developer Experience helps customers modernise how software is planned, built, secured, deployed and operated across UK/I, acting as a specialist advisor in Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-enabled software delivery, and works with Strategic Account Managers and partner teams to identify opportunities and lead complex specialist engagements. They create and develop a specialist sales pipeline aligned to DevOps and software delivery transformation, identifying opportunities across relevant domains, developing customer-specific hypotheses and roadmaps tied to strategic business outcomes, and building territory plans and joint go-to-market activities. In Customer Advisory & Transformation Consulting, they engage with CIOs/CTOs and other executives to understand priorities, lead discovery and maturity assessments, analyze operating models and bottlenecks, and develop business cases and transformation roadmaps that support decision-making. In Opportunity Leadership & Sales Execution, they own opportunities through qualification to closure using MEDDPICC, lead complex multi-stakeholder engagements, craft commercial proposals and value-based business cases, coordinate internal resources and negotiate to close deals. They also cultivate Partner Ecosystem relationships with key players (e.g., Atlassian, GitLab, Harness, AWS, Datadog, IBM, Red Hat) to drive co-sell motions and joint campaigns, while driving thought leadership and market presence through insights, events and industry engagement to position Adaptavist as a leader in DevOps and software engineering transformation.

The role centers on helping customers transform how work is coordinated, how services are delivered, and how organizations scale, acting as a specialist advisor in Enterprise Service Management, Work Management, workflow automation, AI-enabled operations, and Atlassian Cloud transformation. The Sales Specialist collaborates with Strategic Account Managers and partner teams to identify opportunities, shape transformation programs, and lead complex engagements, earning trust as a trusted advisor in service and operational transformation. In pipeline generation and market development, they create a specialist sales pipeline across ITSM/ESM, Work Management, Workflow Automation, AI-assisted Operations, Atlassian Cloud transformation, and business process optimization, developing customer-specific hypotheses and account plans. They engage with CIOs and other executives, run discovery workshops and maturity assessments, analyze operating models to uncover improvements, and develop business cases and transformation roadmaps to support decision-making. For opportunity leadership and sales execution, they apply MEDDPICC, manage complex sales engagements, coordinate internal resources, negotiate contracts, and build compelling proposals, while also developing partner ecosystems and maintaining thought leadership through events, webinars, and market insights.

The Sales Specialist – DevOps & Developer Experience role in the DACH region helps customers modernize how software is planned, built, secured, deployed and operated, acting as a trusted advisor in Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-enabled software delivery to deliver measurable business outcomes. Specialist Pipeline Generation & Market Development: build and pursue a specialist sales pipeline aligned to DevOps and software delivery transformation, identifying opportunities across Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-assisted software delivery and software supply chain security, developing customer-specific hypotheses and account plans, and generating opportunities through executive workshops and partnerships. Customer Advisory & Transformation Consulting: engage with CIOs/CTOs and other executives to understand priorities, lead discovery, engineering and maturity assessments, analyze operating models and bottlenecks, and develop business cases and transformation roadmaps that enable improved delivery and decision-making. Opportunity Leadership & Sales Execution: own opportunities end-to-end, apply MEDDPICC for qualification, lead complex engagements, build commercial proposals and value-based business cases, and coordinate internal resources to close deals and achieve outcomes. Partner Ecosystem Development & Thought Leadership: develop relationships with strategic partners (Atlassian, GitLab, Harness, AWS, Datadog, IBM, Red Hat) to drive co-sell and joint go-to-market, position Adaptavist as the preferred partner, and contribute market-facing insights, content, events and thought leadership.

The Strategic Account Director owns a portfolio of 3–5 of Adaptavist’s most strategically important enterprise customers, typically global organisations with potential >£1m in annual gross margin, and is accountable for multi-year growth strategies while orchestrating virtual teams across Sales, Presales, Delivery, Customer Success and partners to drive wallet share and sustainable account growth. They lead strategic account leadership by building executive-level relationships, pursuing whitespace opportunities across business units and geographies, and generating pipeline through executive engagement, account-based selling and partner collaboration, while developing value-based, customer-centric points of view tied to measurable outcomes. They oversee structured discovery to uncover business problems and stakeholders’ motivations, develop compelling business cases and value realization plans anchored in outcomes such as Developer Experience, Toolchain Modernisation, AI Adoption, Compliance and Change Assurance, and Cloud Migration, applying MEDDPICC to qualify and progress opportunities. They establish and champion access to Economic Buyers and C-suite sponsors, build multi-threaded relationships across technology and business leadership, identify internal champions, navigate complex organizational structures and influencer networks, and lead partner ecosystem efforts with co-sell structures and margin management. They maintain operating rhythm and commercial excellence through CRM hygiene, forecast accuracy, quarterly account reviews and strategic planning, drive governance and margin discipline in complex negotiations, and contribute to QBRs, deal inspections and sales excellence initiatives.

The Head of UK Sales will lead the UK sales territory to deliver accelerated, profitable growth and build a high-performing regional commercial organisation across Strategic, Enterprise, and Mid-Market segments. They will operationalise Adaptavist's two selling motions—DevOps & Developer Experience and Service & Work Management—aligning sellers, Presales, Marketing, Partnerships, Delivery, and Finance around priority accounts, repeatable propositions, and measurable customer outcomes. The role includes defining and executing the UK GTM strategy, translating global priorities into an annual territory plan and a 2-3-year growth outlook, segmenting the market, and setting regional priorities, rhythms, and performance expectations. They will implement a disciplined account coverage model, structured strategic account planning, and MEDDPICC-based qualification and governance, building robust pipeline and rigorous forecasting while coordinating with global strategic-account programmes. They will lead partner and ecostems engagement with key tech partners, drive cross-functional collaboration with Marketing, Presales, Delivery, Finance/RevOps, and focus on talent development, onboarding, and a consistent operating rhythm to represent the UK sales organisation at executive level and contribute to global strategy.

The Head of DACH Sales will lead the DACH sales territory, accountable for delivering accelerated, profitable growth and building a high‑performing regional commercial organisation across the Strategic, Enterprise, and Mid‑Market segments, while operationalising Adaptavist's two selling motions—DevOps & Developer Experience and Service & Work Management—through cross‑functional alignment. They will define and execute the DACH go‑to‑market strategy, translate global priorities into an annual territory plan and a 2–3‑year growth outlook, identify whitespace, prioritise investment, and set regional priorities, rhythms, and performance expectations for revenue, gross margin, pipeline, forecast and sales productivity. They will build a disciplined account coverage model for Strategic, Enterprise and Mid‑Market customers, establish structured strategic account planning with executive sponsorship and expansion plans, and coordinate DACH activity within global strategic‑account programmes while embedding MEDDPICC as the common qualification and deal‑governance language. They will lead local executive engagement with priority technology partners (e.g., Atlassian, GitLab, Harness, AWS, Datadog), build joint territory and account plans, and strengthen alignment with partner field organisations to position Adaptavist as a strategic transformation partner, leveraging a multi‑vendor ecosystem to create differentiated propositions. They will drive cross‑functional commercial integration with Marketing, Presales, Delivery, Finance and RevOps; recruit, onboard and develop talent; maintain a consistent operating rhythm (forecasting, pipeline generation, account planning, quarterly business reviews) and represent the DACH sales organisation with executive leadership while contributing to global sales strategy and operating‑model development.

As a Senior Contracts & Legal Manager in Commercial Operations, you’ll support the business with contract review, negotiation and management while collaborating with stakeholders, clients, subcontractors and suppliers. You’ll lead and support engagements primarily across Germany and the wider DACH region, collaborating with colleagues across EMEA and other geographies when needed, and own contracts from initial review through negotiation and signature, while also supporting Germany-specific legal and compliance matters. The Commercial Operations team provides contract management, negotiations, legal and compliance support, process improvement and risk management; you’ll work closely with Sales, Delivery, Finance and other functions, as well as with clients and their procurement and legal teams. Ideally based within reasonable travelling distance of Wiesbaden or Cologne, this is a hybrid role with office attendance required around 1-2 days per week. Key duties include reviewing, drafting and redlining NDAs, MSAs, SOWs and software purchasing agreements; independently negotiating terms; end-to-end contract ownership; supporting supplier/subcontractor arrangements; working on RFPs, tenders, onboarding and compliance questionnaires; supporting data protection, privacy and GDPR and other regulatory requirements; managing contract information and internal systems; contributing to knowledge management, playbooks, templates and processes; coordinating peer reviews of redlines and balancing legal/commercial risk with The Adaptavist Group’s wider strategy, while collaborating with colleagues across Germany, EMEA and the wider global Commercial Operations team.

Sentry is a fast-growing application monitoring company trusted by over 200,000 organizations, building an AI-native future to help developers fix errors and performance issues faster. As a Senior Software Engineer on the Telemetry Experience team, you’ll own the end-to-end developer experience that turns telemetry into usable APIs, workflows, and interfaces across the backend (Python/Django and PostgreSQL) and frontend (React/TypeScript). You’ll own projects end to end, from rough customer problems through scoping, design, implementation across the stack, rollout, and measurement, collaborating with SDK and ingest teams to shape contracts and ensure a native developer experience. Qualifications include 5+ years shipping full-stack web apps, strong React/TypeScript and Python with PostgreSQL, a proven track record of cross-team initiatives, excellent English communication, and experience with AI-powered development tools; bonus points for familiarity with observability, developer-facing products, high-volume data stores or streaming systems, and open-source contributions. Salary starts at EUR 60,844 gross per year per IT-KV, with compensation above the minimum and comprehensive benefits, and Sentry is an equal-opportunity employer that values diversity and accommodations, as detailed in the Applicant Privacy Policy.

Atlassian is seeking a Commercial Counsel to join its Commercial Legal team to support Enterprise Sales in the Central/West US, Canada, and LATAM, collaborating with Sales, Trust, and other Legal colleagues to negotiate SaaS agreements with major enterprise customers. The role is remote (with the option to work from an Atlassian office) and Atlassian supports flexible work arrangements, including hiring in any country where it has a legal entity. You will negotiate contracts from drafting to execution—covering contract generation, redlining, exhibit coordination, approval escalation, record management, and post-execution support and compliance—while providing pragmatic, business-minded guidance on customer requests and working with internal partners to modify standard terms as needed; you will also draft terms and coordinate with Product, Engineering, and Compliance to support sales to highly-regulated customers. You will join a team of six attorneys supporting Central/West US Sales as well as Canada and LATAM Sales and will liaise directly with Sales clients and customers. The ideal candidate takes ownership, collaborates effectively, translates SaaS contracting complexities for cross-functional colleagues, thrives under tight deadlines while managing risk, navigates a decentralized global organization, and has strong knowledge of software and cloud services, business models, and AI-related issues, with a creative approach to risk-based solutions.

- Atlassian is seeking a Commercial Counsel to join the Commercial Legal team, focusing on Enterprise Sales in the Central/West AMER region and negotiating SaaS agreements with major enterprise customers in the Central/West US, LATAM, and Canada. - The role is remote (with an option to work from an Atlassian office) and involves liaising directly with Sales clients and customers to support strategic projects and transactions. - You’ll be part of a six-attorney team supporting Central/West US Sales as well as expanding Canada and LATAM Sales, handling contracts from drafting to execution, including redlining, exhibit coordination, approvals, record management, and post-execution compliance. - You will provide pragmatic, business-minded guidance on customer requests, obtain internal approvals for modifications, and draft terms in collaboration with Product, Engineering, and Compliance for highly-regulated customers. - The ideal candidate is ownership-driven and collaborative, able to translate SaaS contracting complexities, manage risk while closing deals, navigate a decentralized global organization, and bring strong knowledge of software/cloud services and AI-related issues with creative, risk-based recommendations.

At Atlassian, we aim to help customers compete in the modern digital economy and have built a multi-billion-dollar software business with 300,000 paying customers, hundreds of partners, and millions of users, all under a culture that is open, collaborative, and relentlessly customer-focused. The Strategic Solution Sales team develops and executes strategies to drive adoption of the Service Collection (ESM/ITSM/Customer Service Management) among Atlassian's largest customers. The Strategic Solution Sales Executive acts as a customer champion, feeds insights back to product and engineering, and owns a defined regional territory in Southern Europe. In this role, you will own end-to-end territory strategy, lead the Service Management sales motion, and drive multi-product conversations that leverage multiple components of the Atlassian platform. You will design and run targeted campaigns to build a healthy pipeline, orchestrate the right cross-functional resources, and engage senior decision-makers and economic buyers with value-based conversations tied to business outcomes.

Atlassian aims to help customers compete and win in the modern digital economy and has built a multi-billion-dollar, fast-growing software business with 300,000+ paying customers, hundreds of partners, and millions of users worldwide. The culture is open, welcoming, collaborative, and passionately focused on customers’ success. The Strategic Solution Sales team creates and drives sales strategies to increase adoption of the Service Collection (ESM/ITSM/CSM) among Atlassian’s largest customers, with the Strategic Solution Sales Executive acting as a customer champion and feeding insights back to product and engineering. In this role you’ll own your territory in Southern Europe end-to-end, build multi-quarter sales plans, and be accountable for the numbers alongside the overall Account Executive. You’ll lead the Service Management sales motion, design targeted campaigns to generate pipeline, orchestrate cross-functional resources, engage senior decision-makers, and conduct value-based conversations that tie Atlassian’s platform to key business outcomes.

- Atlassian aims to help customers compete in the modern digital economy and has built a multi-billion-dollar software business with 300,000+ paying customers, hundreds of partners, and millions of users, guided by an open, collaborative culture focused on customer success. - The Strategic Solution Sales team develops and executes sales strategies to drive adoption of Atlassian’s Service Collection among its largest customers, with the Strategic Solution Sales Executive acting as a customer champion and owning a territory in a specific region. - In this role, you’ll own your territory end-to-end by building and executing a multi-quarter sales strategy across defined named strategic accounts in Southern Europe, setting direction, running campaigns, and being accountable for the numbers alongside the overall Account Executive. - You’ll lead the Service Management sales motion as the go-to expert on ESM/ITSM market trends and competitive dynamics, shaping how we position and sell into the largest enterprises, leading Service Management–only deals, and guiding multi-product conversations using the Atlassian platform. - You’ll drive pipeline from the ground up by designing targeted campaigns, engaging executive stakeholders, and building a healthy, self-sufficient pipeline, while orchestrating resources from Strategic Account Executives, Partners, Marketing, and Product to move enterprise deals and connect value to business outcomes.

Atlassian aims to help customers compete and win in the digital economy, building a multi-billion-dollar software business with 300,000+ paying customers, hundreds of partners, and millions of users, all within a culture open to collaboration and focused on customer success. The Strategic Solution Sales team creates and executes sales strategies to drive adoption of the Service Collection (ESM/ITSM/Customer Service Management) among its largest customers. The Strategic Solution Sales Executive serves as a customer champion, feeds insights back to product and engineering, and owns a defined territory in Southern Europe. In this role, you will own end-to-end territory planning, build multi-quarter sales strategies, lead the Service Management sales motion, shape positioning for large enterprises, and lead Service Management-only deals within multi-product conversations leveraging the Atlassian platform. You’ll drive pipeline from the ground up by designing campaigns, engaging executive stakeholders, orchestrating cross-functional resources (AEs, partners, Marketing, Product), and building relationships with senior decision-makers through value-based conversations tied to business outcomes.

Atlassian is on a mission to help customers compete in the modern digital economy, with a multi-billion-dollar software business, over 300,000 paying customers, hundreds of partners, and millions of users worldwide, all within an open, collaborative culture focused on customers’ success. The Strategic Solution Sales team develops and executes sales strategies to drive adoption of Atlassian's Service Collection (ESM/ITSM/Customer Service Management) among the largest customers. The Strategic Solution Sales Executive acts as a customer champion, feeding insights back to product and engineering while owning a territory in a defined region. In this role, you own your territory end-to-end in the DACH region, building and executing a multi-quarter sales strategy across named strategic accounts and being accountable for the numbers in conjunction with the overall Account Executive. You lead the Service Management sales motion, serve as the go-to expert on market trends and where Atlassian's Service Collection wins, drive a self-sustaining pipeline from the ground up, orchestrate the necessary resources from across the organization, and engage senior decision-makers and economic buyers in value-based, multi-product conversations.

Atlassian aims to help customers compete and win in the digital economy, supported by a multi-billion-dollar software business with 300,000 paying customers, hundreds of partners, and millions of users, all within an open, collaborative culture focused on customer success. The Strategic Solution Sales team creates and executes sales strategies to drive adoption of the Service Collection (ESM/ITSM/Customer Service Management) among Atlassian's largest customers. The Strategic Solution Sales Executive serves as a customer champion, feeds insights back to product and engineering, and owns a defined territory in the DACH region. Key responsibilities include owning end-to-end territory strategy across named strategic accounts, leading the Service Management sales motion and multi-product conversations, and driving a self-sustaining pipeline through targeted campaigns and executive engagement. They also orchestrate resources from Strategic Account Executives, Partners, Marketing, and Product, engaging senior decision-makers and economic buyers in value-based conversations that connect Atlassian's platform to the business outcomes that matter.

Atlassian's mission is to help customers compete and win in the modern digital economy, supported by a multi-billion-dollar, fast-growing software business with 300,000+ paying customers and a global ecosystem of partners and users. The Strategic Solution Sales team develops and executes sales strategies to drive adoption of Atlassian's Service Collection (ESM/ITSM/Customer Service Management) among its largest customers. The Strategic Solution Sales Executive acts as a customer champion, feeding insights back to product and engineering to improve the customer experience while owning a territory in a specific region. In the DACH region, the role owns end-to-end territory strategy for defined named strategic accounts—setting direction, running campaigns, and being accountable for the numbers alongside the overall Account Executive. The role leads Service Management sales, serves as the go-to expert on market trends and competitive dynamics, drives multi-product conversations leveraging the Atlassian platform, builds a healthy pipeline, and orchestrates cross-functional resources to accelerate enterprise deals while engaging senior decision-makers.

At Atlassian, the mission is to help customers compete in the digital economy, backed by a multi-billion-dollar software business with hundreds of thousands of paying customers, partners, and users, and a culture focused on customer success. The Strategic Solution Sales team drives adoption of Atlassian’s Service Collection (ESM/ITSM/Customer Service Management) among the largest customers, with the Strategic Solution Sales Executive acting as a customer champion who also feeds insights back to product and engineering and owns a regional territory. In this role, you own your territory end-to-end by building and executing a multi-quarter sales strategy for named strategic accounts in the DACH region, setting direction, running campaigns, and being accountable for the numbers alongside the overall Account Executive. You lead the Service Management sales motion as the go-to expert on ESM/ITSM market trends and competitive dynamics, shaping how we position and sell into the largest enterprises and leading Service Management-only deals and multi-product conversations. You drive pipeline from the ground up by designing targeted campaigns, engaging executive stakeholders, and building a self-sufficient pipeline, while orchestrating the right resources—Strategic Account Executives, Partners, Marketing, and Product—at the right moments to accelerate deals and connect Atlassian’s platform to meaningful business outcomes.

Zendesk is hiring a Senior SEO Specialist for international markets (Germany as a core market, plus the UK, ANZ, and select Tier 2 markets like India and Singapore) to drive organic search and AI-powered discovery, in a senior individual contributor role requiring independent execution and cross-functional influence. The role involves developing and executing SEO and AEO strategies, tracking visibility, traffic, MQLs, and pipeline influence, leading German-language optimization, and surfacing content opportunities with Content, Localization, Regional Marketing, and Product Marketing. It also covers technical SEO and AI/automation, including maintaining site health, conducting audits, coordinating with Web/Engineering, evaluating localization and page launches, and building AI-powered automations and agentic workflows to scale research, optimization, localization, QA, monitoring, and reporting. Analytics and cross-functional leadership are core, using GA4, Google Search Console, Snowflake, and AEO tools to measure performance, translate data into priorities, and collaborate with teams across Content, Web, Engineering, Product Marketing, Localization, Regional Marketing, and Paid Media to influence roadmaps. Required qualifications include 5+ years of hands-on SEO (preferably SaaS/enterprise), fluency in German and English, experience with both content and technical SEO and with AEO and AI-powered discovery, multi-market management, AI automation experience, strong analytics, experimentation discipline, and excellent cross-functional communication; Zendesk notes its inclusive culture, hybrid work policy, and that AI may be used in screening, as an AA/EEO employer.

Sentry is a fast-paced application monitoring company trusted by 200,000+ organizations and is building an AI-native future. The Software Engineering Internship is a 12+ week hybrid program where interns write real code on real projects, either on the SDKs team or Ingest pipelines (Relay/Symbolicator) that ship to production. Interns are paired with a manager and a dedicated mentor, receive feedback, and finish with a final presentation; many past interns have become full-time hires. Qualifications include being enrolled in a CS program, at least one prior internship or team project, proficiency in Python or JavaScript, an ability to pick up new languages quickly, and relocation to Vienna for Summer 2027 with a base salary around EUR 3,285/month plus benefits. Sentry is an equal-opportunity, open-source company that offers accommodations, relocation support, and a privacy policy for applicant data.

Sentry helps developers fix errors and performance issues, is trusted by over 200,000 organizations, and is building an AI-native future as an open-source company. Software Engineer roles at Sentry involve writing real production code on production systems, landing on either an SDK team or Ingest, with SDK work including async support for the Python SDK and a faster AWS Lambda extension, and Ingest handling pipelines such as Relay and Symbolicator. New grads receive strong onboarding—comprehensive training, dedicated mentorship, social events, and a built-in peer community—with many starting as interns and returning full-time. You’ll be matched to a team, design, develop, and ship end-to-end features that customers rely on, and receive ongoing coaching while owning projects from design to production. Requirements include an undergraduate or graduate CS degree (or in progress), internships or hands-on experience, solid CS fundamentals, GitHub proficiency, Python/JavaScript, the ability to relocate to Vienna in 2027, visa sponsorship considered case-by-case, a base salary of EUR 80,000, relocation support, and equal opportunity and accommodations.

Sentry helps developers fix errors and performance issues, is trusted by 200,000+ organizations, and is building an AI-native future. The Engineering Manager will lead the Growth (Value Discovery) team to expand product-led growth by delivering true customer value, collaborating with Product, BizOps, Data, Design, and GTM, and avoiding surprise charges or unnecessary features. You’ll oversee the self-serve funnel (signup, onboarding, activation, trials/upsells, pricing/billing) in our Python/Django and TypeScript/React stack, evolve experimentation with the Data team, and run a fast, hypothesis-driven loop tied to conversion, activation, churn, and 90-day retention. Requirements include 3+ years of engineering management, strong technical credibility, product sense, and experience with experimentation frameworks, plus the ability to talk with users about workflows; bonuses include growth experience at a developer-tools company or large-scale experimentation. The salary range is $220,000 to $450,000 base, plus benefits and equity, with a commitment to equal opportunity and an inclusive culture; Sentry is open-source and provides accommodations and information in its privacy policy.