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Figma is expanding its team to make design accessible and offers a platform for brainstorming, prototyping, translating to code, and AI-enabled iteration with real-time collaboration, and is hiring an Enterprise Account Executive as a full-time role that can be based in a US hub or remote in the United States to drive sales and revenue with enterprise customers. The AE will target and nurture executive-level relationships, understand complex business needs, and deliver innovative solutions across the product suite, with opportunities to accelerate their career and build cross-functional partnerships. Responsibilities include building and managing a pipeline of enterprise accounts (5000+ FTEs) to hit targets, using discovery and value-selling, securing executive sponsorship for enterprise deployments, creating strategic account plans, multi-threading at the executive level, and co-creating with partners to drive deals and customer success. Requirements include experience closing enterprise SaaS deals with large organizations, consistent pipeline generation, and managing complex sales cycles (6+ months), with added value if you can engage technical audiences or hold deal-qualification certification. Figma offers equity, comprehensive benefits, and a base salary range of $165,000–$190,000, plus equal opportunity employment and accommodations; there are application limits (up to five in any rolling 30 days) and a requirement to keep cameras on during video interviews and attend in-person onboarding.

Figma is expanding its team to make design accessible and offers a platform for brainstorming, prototyping, translating to code, and real-time collaboration; the Enterprise Account Executive will drive sales and maximize revenue with enterprise customers. You’ll create and manage an enterprise pipeline, use discovery and value-selling with executives, secure sponsorship for enterprise-wide deployments, develop strategic account plans, and manage a book of business while partnering cross-functionally to close deals and ensure customer success. Requirements include years of enterprise software/SaaS sales closing experience with an enterprise book (5000+ FTEs), consistently hitting pipeline targets, and managing complex 6+ month sales cycles; bonus points for selling to technical audiences and certifications in deal qualification and discovery. The compensation and benefits package includes a base salary of $165,000–$190,000, equity, comprehensive benefits, retirement plan contributions, parental leave, mental health support, PTO, and incentive compensation; you can work from US hubs or remotely in the United States. Figma is an equal opportunity employer, provides accommodations for disabilities, requires camera-on during video interviews and in-person onboarding, and imposes application limits (up to 5 applications per 30 days) with no reapplication while an application is active or within 90 days of rejection.

Atlassian can hire people in any country where they have a legal entity, and roles can be remote or in an office based on time zone overlap, with interviews and onboarding conducted virtually as part of their distributed-first approach. The Atlassian Advisory Services team is globally distributed and consists of experts who work with large strategic and enterprise customers to tackle complex business challenges and maximize the value of their Atlassian investments. They are hiring a Senior Solution Consultant with a Cloud Platform and AI focus to join the Advisory Services Delivery team as an individual contributor, not a manager, delivering strategic technical guidance to drive value realization for clients. Primary responsibilities include collaborating to align on strategic outcomes, solving business challenges with Atlassian products and practices, identifying opportunities for service and product expansion, building deep industry and solution expertise, creating technical content and prescriptive guidance, and advocating for customer needs across internal teams. Travel up to 30% domestically and, in some cases, internationally for internal and customer-facing events, with the aim of impacting millions of users by turning ideas into action and expanding the reach of Atlassian technologies.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The role leads high-impact incident response in a complex cloud environment, coordinating with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, and directly manages a US-based team of 5-8. You’ll improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, and drive the adoption of investigative AI tools and automation to speed triage, surface relevant signals, reduce toil, and maintain rigorous security without compromising judgment. You’ll need a strong track record of leading multi-stakeholder security incidents in SaaS, cloud, or enterprise settings, with excellent executive communication, experience building metrics-driven programs, and hands-on familiarity with investigation workflows, detection/response tooling, log analysis, and cross-region coordination, including deploying investigative AI tools. The team culture emphasizes calm execution, collaboration, blameless reviews, continuous learning, psychological safety, and accountability, and the role offers a rare opportunity to shape Atlassian’s major-incident response, mature security operations (including follow-the-sun models), and responsibly scale investigative AI in security.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. In this role you’ll lead high-impact security incidents in a complex cloud environment, coordinate across multiple teams, and directly manage a US-based incident response team of 5–8 people while coaching responders and senior practitioners. You’ll drive improvements to the incident response program through playbooks, metrics, exercises, post-incident reviews, and better tooling, and you’ll champion the adoption of investigative AI tools to speed triage and improve consistency. You should bring experience leading multi-stakeholder incidents in SaaS/cloud or enterprise settings, strong executive communication, metrics-driven program design, hands-on investigation skills, and familiarity with AI automation and regulated environments. The team culture values calm execution, blameless reviews, collaboration, and continuous learning, and the role offers a rare opportunity to influence Atlassian’s security operations at scale and shape the future of incident response.

Atlassian supports flexible work locations and hires in any country where it has a legal entity; in this role you’ll lead high‑impact incident response in a complex cloud environment, coordinate with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, and directly manage a 5–8 person team in the US. You’ll coordinate complex security incidents with structure and urgency, drive investigation, containment, recovery, and follow‑through, and coach incident responders and senior practitioners to raise the quality of investigations and executive communication. You’ll improve the incident‑response system through playbooks, metrics, exercises, post‑incident reviews, and better tooling, with a key emphasis on adopting investigative AI tools and automation to speed triage, surface signals, reduce toil, and maintain security rigor. You’ll bring experience leading multi‑stakeholder incidents in SaaS, cloud, or enterprise settings, strong executive communication, and a track record of building or developing security engineers and incident responders, plus hands‑on familiarity with investigation workflows, tooling, log analysis, and cross‑region coordination, including deploying AI in security operations. The team culture values calm execution, clear communication, continuous learning, blameless reviews, and psychological safety, offering a rare chance to shape Atlassian’s major incident approach, mature security operations, and advance investigative AI responsibly to benefit customers.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires people in any country where they have a legal entity. The role leads high-impact incident response in a complex cloud environment, coordinates across multiple teams, directly manages a US-based team of 5–8, and drives investigation, containment, recovery, and follow-through with strong executive communication. Responsibilities include improving the incident response program through playbooks, metrics, exercises, post-incident reviews, and tooling, while driving the adoption of investigative AI tools and automation, including in regulated environments. The ideal candidate has proven multi-stakeholder incident leadership in SaaS/cloud/enterprise settings, strong executive communication, experience building metrics-driven programs, hands-on detection/response and log analysis, and familiarity with deploying AI in security operations plus strong systems thinking. The team culture emphasizes calm execution, blameless reviews, collaboration, psychological safety, and continuous learning, offering a rare opportunity to shape Atlassian’s security response, advance AI-enabled security operations, and partner with senior leaders to improve outcomes for customers.

Atlassian offers flexible work locations and global hiring, and in this role you’ll lead high‑impact incident response in a complex cloud environment, coordinating across functions and directly managing a 5–8 person team in the US to drive investigation, containment, recovery, and follow‑through. You’ll improve the incident response system through playbooks, metrics, exercises, post‑incident reviews, and better tooling, and drive the adoption of investigative AI tools and automation to speed triage, surface signals, reduce toil, and maintain judgment and security rigor. You’ll also support regulated and high‑trust environments that require formal incident handling, reporting, and documented operating procedures. On day one you’ll bring incident leadership, operational maturity, and people leadership, with experience leading complex multi‑stakeholder security incidents in SaaS/cloud/enterprise contexts, strong executive communication, and hands‑on familiarity with investigation workflows, tooling, and cross‑region coordination, plus experience deploying AI in security operations. Our team culture values calm, collaborative, blameless review and continuous learning, and this role offers a rare opportunity to shape Atlassian’s major incident response program, influence security operations at scale, and advance the use of investigative AI while partnering with senior leaders to improve outcomes for customers.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The role is a Senior Manager for Atlassian Government Cloud platform components, responsible for building end-to-end release components, owning go/no-go criteria, and guiding the shift from continuous delivery to operator-approved releases; it’s a hands-on leadership role with strategy and launch involvement. Responsibilities include owning the government release process (planning, versioning, readiness, cutover, rollback), managing the release calendar and dependencies, and serving as the escalation point for release-impacting incidents. The role will manage a 10–15 person engineering team, set expectations, drive performance and growth, and develop a multi-quarter roadmap to reduce release risk through trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling and reduce toil. It requires cross-functional collaboration with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, conducting blameless post-release reviews, and ensuring releases meet change management and audit standards (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without excessive paperwork.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Senior Manager role is focused on building and maturing the Government Cloud platform components and guiding end-to-end release processes toward operator-approved releases. Responsibilities include owning release planning, go/no-go criteria, readiness, cutover, rollback, incident escalation, and managing a cross-team release calendar; you will also define what “ready to ship” means and serve as the escalation point for major launches. The role also involves leading a 10-15 person software engineering team, setting strategy and career development, and driving a multi-quarter roadmap that reduces release risk and cycle time using trunk-based development, feature flags, progressive rollout, canaries, automated release gates, and one-click rollback. You’ll partner with multiple functions (Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, Legal/Compliance) to align release and launch readiness, run blameless post-release reviews, and ensure compliance and auditability with standards like SOC 2, ISO 27001, FedRAMP, PCI, or SOX.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. The role is a Senior Manager for Atlassian Government Cloud, responsible for building and maturing release components end-to-end and leading a 10-15 engineer team to support multiple product teams and hundreds of service teams, including go/no-go decisions and a shift to operator-approved releases. Responsibilities include owning the government release process (planning, versioning, readiness, cutover, rollback), managing the release calendar and dependency map, defining “ready to ship” criteria, and serving as the escalation point for release-impacting incidents, including after-hours. The role involves coaching and growing the team, building bench strength, and 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, while partnering with platform teams to scale tooling and reduce toil. Collaboration spans Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, with communication of status to senior leadership, blameless post-release reviews, and turning findings into process or tooling changes, all while ensuring releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, or SOX) without turning delivery into paperwork.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is Senior Manager for the Atlassian Government Cloud platform, leading a team of engineers to build end-to-end release components and shift toward operator-approved releases, with hands-on leadership. You will own the Government release process—from planning and branching to release readiness, cutover, rollback, and go/no-go decisions—defining what “ready to ship” means and escalating incidents as needed. You’ll manage 10-15 engineers, set expectations and career development, build bench strength, and drive a multi-quarter roadmap that reduces risk and cycle time using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. Finally, you’ll collaborate across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance to align release and launch readiness, communicate with senior leadership, run blameless post-release reviews, and ensure compliance with change management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian offers flexible work options and hires in any country where it has a legal entity. The Senior Manager for Government Cloud will build and drive platform components, focusing on end-to-end release components and advancing the shift from continuous delivery to operator-approved releases, while remaining hands-on in leadership. Responsibilities include owning the Government release process (planning, versioning, readiness, cutover, verification, rollback), running the release calendar and dependency map, making tradeoffs when timelines and quality clash, and serving as the escalation point for release-impacting incidents. You will manage a 10–15 engineer team, coach and hire, build bench strength to avoid single-person dependence, and define 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. You’ll partner with engineering, product, QA, SRE, support, security, docs, marketing, and legal/compliance; communicate status to senior leadership; run blameless post-release reviews; and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Senior Manager for Government Cloud will build and mature release components end-to-end, driving the shift from continuous delivery to operator-approved releases, and will lead a team of experienced software engineers. Responsibilities include owning the government release process (planning, versioning, readiness, cutover, rollback), running the release calendar and dependency map, making tradeoffs between timelines and quality, and serving as the escalation point for major launch incidents. The role involves managing 10-15 engineers, coaching and hiring, building bench strength, and driving a multi-quarter roadmap with trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback, plus partnering with other platform teams to scale tooling. It requires cross-functional collaboration with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; clear communication to senior leadership; blameless post-release reviews; and ensuring compliance and auditability to standards such as SOC 2, ISO 27001, FedRAMP, PCI, or SOX.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where they have a legal entity, enabling employees to support family and personal goals. The goal is to build a 100-year company by creating a world-class, empowered, distributed engineering organization with the tools and infrastructure for the best work of their careers. The role involves leading a distributed full-stack engineering team, enhancing platform capabilities including the design system, theming, rapid prototyping tools, AI-powered accessibility remediation, and developer tooling to accelerate delivery, while scaling the localization platform and embedding accessibility, internationalization, and quality standards with design, product, and engineering peers. You will drive operational excellence, release hygiene, and governance across shared packages and services, and serve as the engineering anchor in triad planning with Design, Product Management, and TPMs for roadmap alignment and capacity planning. The ideal candidate has 5+ years managing software engineering teams, experience guiding senior and principal engineers, a strong full-stack background, familiarity with design systems, localization, and AI-assisted developer workflows, and a track record of mentoring distributed teams across time zones in a high-trust culture.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, giving employees control over family, personal goals, and priorities. The role is Principal Forward Deployed Engineer (FDE), a high-visibility position at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and drive tangible business outcomes. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve real-world problems and advance AI-powered teamwork. Key responsibilities include leading the design, development, and deployment of AI/ML solutions, building robust API-centric integrations, analyzing data to inform product direction, and driving AI-augmented workflow automation with end-to-end production deployment and ongoing monitoring. The role also requires navigating risk and compliance (AI risk assessment, GDPR, regulatory), mentoring junior engineers, and communicating complex technical concepts clearly to stakeholders while aligning technical work with business objectives and measurable results.

- Atlassian offers flexible work options (office, home, or hybrid) and hires internationally wherever they have a legal entity. - Loom is Atlassian’s async video product that enables quick video updates and integrates with Confluence, with AI-powered transcripts and summaries via Rovo. - Loom is expanding how async video helps people and AI agents collaborate, with millions already using it across time zones. - Joining the Loom Analytics team means shaping product direction at the intersection of product strategy, customer insight, and experimentation, working with cross-functional partners and using quantitative analysis to develop and test strategies. - You’ll define opportunities, forecast and measure key metrics, influence roadmaps, use data to shape product development, and communicate insights broadly to leadership.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement to better support family, personal goals, and other priorities. They can hire people in any country where the company has a legal entity. The company is looking for a Principal Backend Software Engineer focused on delivering creative improvements for engineering teams. The role involves unblocking challenges across the software development cycle, creating cross-team solutions, planning large projects, solving complex architecture problems, applying architectural standards, leading code reviews and documentation, fixing high-risk bugs, and partnering on company-wide initiatives. It also requires transferring knowledge across languages to excel as a Software Engineer and mentoring more junior team members.

Atlassian offers flexible work locations and hires globally wherever they have a legal entity. They are seeking a Sales Leader to oversee Teamwork Collection Specialists, building enterprise-level sales strategies around Teamwork Collection (Loom, Rovo, Jira, and Confluence) to meet aggressive revenue targets. The role involves cross-functional collaboration with Core accounts, channel partners, product specialists, account managers, and solution engineers to refine sales processes and enhance customer value and satisfaction, while recruiting and coaching high-performing sales professionals and managing enterprise/strategic client relationships. Responsibilities include leading the team to achieve targets, developing strategic plans to grow market share, mentoring, setting and tracking performance metrics, hiring/building the team, analyzing data and market trends, and conducting regular evaluations. The position requires maintaining relationships with peer leaders, providing updates to senior management, staying current on industry trends and competitor dynamics in the Enterprise/Strategic segments, and having a working knowledge of organizational teamwork workflows; ideally with emphasis on Software Delivery and the evolving role of AI in those segments.

Atlassian enables flexible work locations and hires globally wherever it has a legal entity. They’re seeking a Sales Leader to oversee a team of Teamwork Collection Specialists and devise enterprise-focused sales strategies that highlight Teamwork Collection, Loom, and Rovo alongside Jira and Confluence to meet aggressive revenue targets. The role involves collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. Responsibilities include recruiting and developing a high-performance sales team, setting goals, mentoring and coaching, onboarding new members, analyzing sales data and market trends, performing evaluations, and providing regular updates to senior management. It also requires nurturing relationships with Enterprise and Strategic clients and peer leaders, staying informed about industry trends and competition, and applying knowledge of organizational teamwork workflows with an emphasis on Software Delivery and the evolving role of AI in these segments.

At Atlassian, employees can work office, home, or hybrid, and the company hires globally for a Sales Leader role overseeing the Teamwork Collection value proposition, focusing on enterprise sales with Loom, Rovo, Jira, and Confluence. The role collaborates with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. Key duties include leading and managing a team of Teamwork Collection Specialists to meet sales targets in the Enterprise and Strategic segments, developing strategic plans to grow market share, mentoring the team, and recruiting/onboarding new members as needed. Additional responsibilities involve analyzing sales data and market trends, conducting performance evaluations, maintaining relationships with peer leaders, and providing regular updates to senior management. The position requires staying informed about industry trends and market dynamics, with a working knowledge of organizational teamwork workflows and ideally expertise in Software Delivery and the emerging role of AI in the Enterprise and Strategic segments.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. They are seeking a Sales Leader to oversee a team of Specialists focused on the Teamwork Collection, developing and executing enterprise-focused sales strategies that highlight Teamwork Collection and use cases with Loom and Rovo alongside Jira and Confluence, with aggressive revenue targets. The role requires collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes and maximize customer value, while also recruiting top sales talent and fostering a high-performance culture with key Enterprise and Strategic clients. The leader will manage a team to achieve sales targets in the Enterprise and Strategic segments, develop and implement strategic sales plans to penetrate and grow market share, mentor and coach the team, set and monitor performance goals, and recruit and onboard new team members as needed. Additional duties include analyzing sales data and market trends, conducting regular performance evaluations, maintaining relationships with peer leaders, providing updates to senior management, staying informed about industry trends and competitor activity, and applying a working knowledge of organizational teamwork workflows, ideally with emphasis on Software Delivery and the emerging role of AI in these segments.

Atlassian is seeking a remote Customer Success Manager with Spanish fluency to help customers realize value from Atlassian investments by aligning on strategic goals and delivering scalable methodologies for product adoption, solution expansion, and long-term growth across the Americas. The role involves building trusted advisor relationships with stakeholders from C-Suite to global teams, guiding complex customers, and delivering value through proactive, programmatic engagement and best practices. You’ll leverage solution expertise across multiple products and collaborate with the account team (AE, solution partners, and others) to develop Customer Success Plans, including regular check-ins, EBRs, and strategic planning sessions. You’ll manage post-sales activities, maintain knowledge of products, identify and mitigate churn risks in partnership with the Account Associate, and drive early and sustained product adoption. Fluency in English and Spanish is essential to serve customers in Spanish-speaking LATAM and the United States and to act as the Voice of the Customer for internal feedback.

Atlassian offers flexible work locations and hires people in any country where they have a legal entity. The role is a non-managerial CSA (AI) within the Customer Success Architect team, focused on adopting Atlassian's AI platform, Rovo, by executing time-boxed, co-built engagements that translate into measurable business value. The CSA will partner with enterprise teams to discover high-impact AI use cases, design and build custom Rovo agents, configure third-party connectors, and deploy working solutions into production workflows, bridging AI expertise with customer success. Core activities include discovery, design, deployment, collaboration with Account Teams and CSMs, and advocacy with Product/Engineering to improve adoption, with travel up to 15%. Candidates should have 3-5 years in Customer Success or enterprise account management, strong technical aptitude with AI platforms and Atlassian tools, experience building AI agents and integrations, knowledge of enterprise workflows, and excellent communication to translate AI capabilities into business outcomes.

Atlassians can choose where they work—office, home, or a mix—and Atlassian hires in any country where it has a legal entity, giving employees flexibility to support family, personal goals, and other priorities. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver innovative, AI-powered solutions and partnering with top organizations to solve real-world problems. You’ll collaborate with product, engineering, and design to rapidly grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, fast-paced environment that shapes the future of AI-powered teamwork. Your responsibilities include leading the design, development, and deployment of AI/ML solutions, architecting robust integrations using Python or JavaScript, driving data-driven insights, and championing AI-augmented workflow automation to maximize value. You’ll oversee end-to-end production deployment, navigate AI risk and data privacy (GDPR) and regulatory compliance, mentor junior engineers, and communicate complex technical concepts clearly to technical and non-technical stakeholders, aligning solutions with business objectives and measurable results.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, with over 50 million users and Fortune 100 trust, and it treats AI as a core productivity multiplier. The Senior Director, Global Subject Matter Expertise Solutions Architecture will build and lead three regional SME teams (AMER, EMEA, APJ) covering Security & Compliance, Platform, Core DevSecOps, and AI & Competitive, serving as the depth layer of GitLab’s technical selling and leading other leaders. Responsibilities include setting strategy, operating model and global standards for SME, sizing regional coverage, partnering with Product Management and Engineering, running feedback loops to shape roadmaps, hiring and developing regional SME Managers, and managing engagement and escalation with regional Senior Directors, Post-Sales SAs and Customer Success. The role emphasizes using AI to transform how the team works (deal research, demos, PoV automation) and driving organizational change, with metrics on product-category growth, time-to-production for SME-involved opportunities, coverage speed on top opportunities, and field feedback adoption into the roadmap. Compensation and logistics include a US-only base salary range of $244,200–$409,500 with up to 100% incentive for sales, remote-friendly hiring guidelines, comprehensive benefits, and a strong equal-opportunity policy, with an invitation to apply even if not all qualifications are met.

GitLab is an intelligent DevSecOps platform that helps organizations boost developer productivity, improve security and compliance, and accelerate digital transformation, trusted by millions of users and many Fortune 100 customers. GitLab’s culture emphasizes AI-enabled productivity, continuous knowledge sharing, and a high-performance, inclusive environment where every voice is valued. The role is Strategic Account Leader on the Public Sector Team, a remote position based in Colorado, Arizona, Minnesota, Utah, Nevada, or Kansas, focused on state and local government and higher education in the Mountain Plains region. You will own a defined book of business, build multi-year account plans, navigate complex procurement, serve as the primary trusted advisor, drive adoption of GitLab’s AI-powered DevSecOps platform, and collaborate with pre/post-sales, system integrators and resellers while feeding customer feedback to product teams. Required qualifications include experience selling to U.S. state and local government and higher education in regulated environments, knowledge of CI/CD and secure development, procurement acumen, strong communication, willingness to travel, and a base salary range of $122,000–$205,200 with incentives up to 100% of base, plus benefits and a commitment to equal opportunity.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, trusted by 32,000 organizations including 75% of the largest financial institutions, with open-source tools downloaded 100 million times per month and over 30,000 GitHub stars. The role is Senior Major Account Executive II – Swagger Expansion, tasked with expanding Swagger and broader API lifecycle adoption across the largest enterprise customers. You will lead complex, multi-threaded sales cycles and develop executive-level relationships, translating API, governance, and delivery priorities into compelling business cases while orchestrating cross-functional resources. Candidates should have at least 7 years of quota-carrying SaaS or enterprise software sales, a track record of expansion success, and experience selling to engineering, DevOps, API, QA, and IT leaders, with Salesforce and MEDDPICC/Challenger proficiency. SmartBear emphasizes growth, inclusion, and social responsibility, offers a total rewards package with a base plus on-target commission of $220,000, and supports hybrid work from its Somerville, MA headquarters with offices worldwide.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working with enterprise sales and channel partners to understand customer needs and close large enterprise deals. - The role involves strategizing sales cycles, delivering value-based demonstrations, supporting proofs of concept, and maintaining a customer-obsessed, high-performing mindset. - The team serves over 250,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling and a culture of teamwork where employees work with Atlassian, not for Atlassian. - Responsibilities include specializing in Atlassian ITSM offerings, collaborating cross-functionally to drive the customer journey, mapping client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and POCs, and feeding customer feedback to product management.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity. In this DX Sales Enablement Specialist role, you will own the delivery engine to make enablement programs repeatable, usable, and scalable. Primary duties include building and maintaining AE and SDR onboarding content, learning paths, schedules, checklists, and certifications, facilitating onboarding sessions and skills training, and managing program logistics. You will maintain the AE onboarding hub, enablement content library, Confluence resources, and Gong library, and create playbooks, job aids, battle cards, learner guides, training decks, and just-in-time resources, while coordinating the monthly GTM cadence with PMM, Product, Marketing, and Sales. You’ll gather participant and manager feedback, report on completion, attendance, certification, adoption, and content usage, support launches with learner-facing materials, build the SDR program after the AE foundation, and assist with other priority enablement initiatives as needed.

The Principal ML Engineer leads the development and deployment of AI capabilities in Atlassian products, guiding system and model architectures, experimentation, and collaboration with product, engineering, and analytics teams. They provide technical leadership and execution by tackling the largest and most complex problems, setting direction for systems and capabilities, and planning multi-quarter architecture initiatives. They design, develop, and deploy production-grade ML models (including ranking, retrieval, and LLM-based systems), conduct rigorous experiments, build robust feature pipelines, and oversee end-to-end production deployment with continuous evaluation. They collaborate across functions with product managers, designers, and engineers to integrate AI/ML into products, align company-wide programs, and translate complex concepts for technical and non-technical stakeholders. They mentor and coach engineers, foster innovation and learning, contribute to scalable department programs, and make decisions by balancing speed, risk, and impact while ensuring that multiple capabilities fit into larger products and platforms.

Atlassian offers flexible work arrangements—employees can work in an office, from home, or a hybrid setup to support personal goals and family priorities. They can hire people in any country with a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. The company is looking for a Fullstack Software Engineer to join the team, aiming to deliver creative improvements for engineering teams. Responsibilities include building REST APIs that power core customer experiences and creating customer-facing React components. You will also configure monitoring for backend services, build CI/CD pipelines, develop integrations with their content management system, and build features with reliability in mind.

Atlassian offers flexible work locations, including office, home, or a combination, to help employees support family and personal goals. They can hire people in any country where they have a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. They are looking for a Back End Software Engineer to deliver creative improvements for their engineering teams. Responsibilities include building REST APIs powering core customer experiences, configuring monitoring for backend services, and building CI/CD pipelines. Additional duties involve developing integrations with their content management system and creating features and services with reliability in mind.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working directly with enterprise sales teams and channel partners to understand customer needs. The role involves strategizing on winning sales cycles, delivering value-based demonstrations, supporting enterprise proofs of concept, and closing large enterprise deals for customer-obsessed buyers. The future team serves over 250,000 customers (including NASA, IBM, HubSpot, Samsung, and Coca‑Cola), emphasizes value selling and a collaborative “play as a team” culture, and offers high earnings potential from enterprise opportunities in cloud and AI. Key responsibilities include specializing in Atlassian’s ITSM offerings, collaborating cross-functionally to map client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and PoCs, and providing customer feedback to product management.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity. The role is a senior full-stack engineer on the DX team, comfortable with Ruby on Rails and raw SQL as well as React and TailwindCSS. You will own end-to-end features—from clarifying vague problem statements with product and design to shipping high-quality code and measuring impact—in a highly scalable, cross-geo environment. Responsibilities include building robust REST APIs and customer-facing UI, code reviews focused on readability, testing, documentation, reliability, and performance, plus monitoring and collaborating with product and design to refine requirements. You will participate in Agile ceremonies, write performant SQL for complex queries and data workflows, ensure end-to-end ownership, and contribute to engineering practices and tooling around data correctness, reporting, and reliability.

Atlassian offers flexible, distributed work options and hires in any country with a legal entity, with details at go.atlassian.com/distributed. Atlassian’s Grad++ program provides hands-on technical training, professional growth, dedicated mentorship, and strong social connections to launch a successful career at the company; the role is located in Seattle, WA, and you must be able to work from that location, with no F1/J1 eligibility and no sponsorship. As a New Graduate in the Data Engineering team, you'll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers and products to ensure the quality and usefulness of data assets, while helping strategize measurement, data collection, and generated insights to improve product experience, engagement, efficiency, costs, and guide strategy. You'll report to a Data Engineering Manager and learn from mentors who are among the best Data Engineers, with Data Engineering offering a multi-faceted role including defining metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, enablement, alerting, visualization, and reporting, all while developing at scale and improving efficiency. In sum, this opportunity blends technical data work, cross-functional collaboration, and strategic data initiatives to empower product decisions.

- Atlassian offers flexible work locations and hires in any country where they have a legal entity, emphasizing distributed collaboration. - The Intern program combines hands-on technical training, mentorship, and social connections to prepare students for a successful career at Atlassian; this role is located in the Seattle hub and requires working from that hub, with no eligibility for F1/J1 students or any sponsorship. - The paid internship runs for 12 weeks, roughly May/June through August/September 2027. - As a Data Engineering intern, you’ll influence product teams, support Data Science and Analytics Platform teams, and partner with data consumers to ensure data assets are high quality and useful, including defining metrics, collecting data, and generating insights to improve product experience, engagement, efficiency, and costs. - You’ll report to a Data Engineering Manager and learn from a team mentor, with responsibilities spanning metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, alerting, visualization, reporting, and scalable, efficient development.

Zendesk is hiring a Vice President, Total Rewards to lead global compensation, benefits, accommodations and HR compliance, defining a holistic total rewards strategy and modernizing delivery with analytics, automation and AI while briefing executive leadership and the Board as needed. The role serves as the enterprise owner of Total Rewards standards, responsible for global policy, program design, compliance posture, and a scalable roadmap, and acts as an executive advisor on people risk, pay strategy, and program impact with board-facing materials. Key duties include designing competitive compensation, equity and benefits programs (base, variable, sales comp), partnering with executives on executive compensation, and driving AI-enabled automation to surface pay equity insights, model scenario impacts, and simplify operations. Requirements include 12+ years of HR experience with deep Total Rewards and executive compensation, 7+ years in senior/global leadership, global SaaS/technology experience, proficiency with HR analytics and automation, and strong cross-functional collaboration and board communication; preferred experience with SaaS/AI, Workday, and global equity or sales compensation programs, along with AI literacy and governance capabilities. The US base salary ranges $283,000–$425,000 with potential bonus/benefits; Zendesk promotes hybrid work, diversity and inclusion, and informs applicants that AI or automated decision systems may screen applications, while accommodations are available for applicants with disabilities.

Atlassian lets employees choose where they work—office, home, or a mix—and hires from any country with a legal entity, serving over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca‑Cola to unleash team potential with software and drive revenue growth. The company emphasizes the value of “play as a team,” supports one another, shares knowledge, and has employees work with Atlassian, not for it, while offering strong sales earning potential in a vast enterprise market. Atlassian is advancing responsible AI integration into its cloud products, migrating customers to the cloud, and building trust through cost transparency, faster collaboration, and improved business outcomes as part of a bold sales strategy. The sales role focuses on steering a set of high-value, strategic accounts, understanding their long-term goals, and developing customized plans to expand and retain them, while nurturing relationships with decision-makers and executives and collaborating across internal teams and partners to deliver aligned solutions. Key responsibilities include strategic account or territory planning, serving as the primary contact or escalation point, negotiating contracts, conducting market research, providing forecasts, maintaining deep product knowledge, traveling as needed, and mentoring junior team members.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees more control over family and personal goals. - The company serves over 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—with a mission to unleash every team's potential through software, delivering customer impact and driving revenue growth. - Atlassian's unique value is "play as a team," fostering mutual support, shared wins, and knowledge sharing, with employees working with Atlassian rather than for it. - The sales role centers on strategic accounts, building relationships with decision-makers (including C‑level executives), identifying expansion opportunities, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions and negotiate contracts. - The company is leading responsible AI integration into cloud products and migrating customers to the cloud, while the role also involves developing named account or territory plans, forecasting, market insight, mentoring juniors, and traveling to meet clients and attend events.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers, serving as the post-sale technical authority. The role leads technical implementations, partnering with Customer Success Managers to onboard clients, manage complex integrations, and design system architectures for a smooth transition from evaluation to production. It includes architecture and strategy work, deep-dive sessions to map the DX platform to a customer’s workflows, and custom solution engineering to create integrations and workflows that connect DX APIs to client environments, along with consultative implementation to optimize deployment pipelines. The position acts as a trusted advisor on best practices for DX analytics, deployment methodologies, and cultural transformation, and maintains a feedback loop with Product and Engineering to influence the roadmap.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity. The Advisory Services Delivery team is a globally distributed group of Atlassian experts helping large strategic and enterprise customers realize value from Atlassian products. They’re hiring a Senior Solution Consultant (Strategy Collection focus) as an individual contributor to provide strategic technical guidance, align outcomes, drive business results, create prescriptive content, and identify opportunities for service and product expansion. Ideal candidates have 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience with Strategy Collection tools and other enterprise tools, AI integrations, fluency in English (a second language is a plus), and up to 30% travel. Atlassian offers perks like ample time off, an education budget, volunteer days, and a culture that emphasizes inclusion and confidentiality, with resources such as a Candidate Resource Hub to learn more about the process.

- Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires globally where it has a legal entity, enabling staff to balance family and personal goals while impacting millions of users. - The Atlassian Advisory Services team is a globally distributed group of experts delivering trusted guidance to large enterprise customers to maximize value from their Atlassian investments. - The Senior Solution Consultant with a Strategy Collection focus is an individual contributor in Advisory Services Delivery, responsible for delivering strategic technical guidance, aligning product capabilities with business outcomes, and identifying opportunities for service and product expansion. - Responsibilities include collaborating on strategic outcomes, solving client challenges with Atlassian products, creating prescriptive guidance, staying current with best practices, working cross-functionally, and traveling up to 30% of the time. - Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical admins to executives, expertise in Enterprise Agility, experience mapping operations to product capabilities, and fluency in English (additional languages and AI integration experience are a plus); Atlassian emphasizes an inclusive culture with nondiscrimination, generous perks, and an emphasis on confidentiality per EEO guidelines via its Candidate Resource Hub.

At Atlassian, you can work in an office, from home, or a hybrid setup, and the company hires globally wherever it has a legal entity to support personal priorities and impact millions of users. The Senior Solution Consultant with a Strategy Collection focus is an individual-contributor role within the globally distributed Advisory Services Delivery team, providing expert Atlassian guidance to large strategic and enterprise customers. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, collaborating with cross-functional teams, and traveling up to 30% domestically or internationally. The ideal candidate has 6–8 years in SaaS with 5+ years in customer-facing roles, deep Enterprise Agile expertise, the ability to map customer operations to product capabilities, experience delivering enterprise strategy and planning tools (e.g., Strategy Collection, Rally, RTC, ADO, VersionOne) and AI integrations (Rovo, Agentic AI, MCP), and fluent English (additional languages like Spanish, French, or Portuguese are a plus). Atlassian emphasizes perks like time off, an education budget, and volunteer days, and maintains a diverse, inclusive culture with non-discrimination and confidentiality in line with EEO guidelines, with more details available in the Candidate Resource Hub.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, supported by a globally distributed Advisory Services team focused on customer success. - They’re hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor to deliver expert Atlassian guidance and drive value realization for enterprise clients who purchase Advisory Services. - Responsibilities include collaborating with peers to define strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and client-facing events. - Candidates should have 6-8 years in SaaS, 5+ years in customer-facing roles, deep Enterprise Agility expertise, ability to map operations to product capabilities, experience with enterprise strategy and planning tools (Strategy Collection and alternatives like Rally, RTC, ADO, VersionOne), and AI integrations (Rovo, Agentic AI, MCP), plus English fluency and ideally a second language. - Perks include ample time off and an annual education budget, with Atlassian emphasizing inclusive culture and non-discrimination, and offering resources like the Candidate Resource Hub to learn more.

Atlassian supports flexible work locations and hires people in any country where they have a legal entity, with the globally distributed Advisory Services team helping their largest strategic and enterprise customers succeed using Atlassian solutions. They are hiring a Senior Solution Consultant with a Strategy Collection focus to join the Advisory Services Delivery team as an individual contributor, delivering strategic technical guidance and helping clients realize value from their Atlassian investment. Responsibilities include collaborating on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities within a client’s organization, building deep industry expertise, creating technical content, and traveling up to 30% for internal and customer-facing events. Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical administrators to executives, expertise in Enterprise Agility, ability to map customer practices to product capabilities, experience delivering enterprise strategy and planning tool implementations, and familiarity with multiple tools and AI integrations, with English fluency and a second language (e.g., Spanish, French, Portuguese) as a plus. Perks include ample time off and an annual education budget, and Atlassian emphasizes non-discrimination and confidentiality with resources available in the Candidate Resource Hub.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity, helping teammates balance family, personal goals, and priorities. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focusing on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams to advance models, agents, and evaluation, translating improvements into measurable benefits for millions of active users. Responsibilities include architecting and building production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, online signals), advancing Rovo’s agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), and closing the loop between evaluation and product impact by shipping interventions and assessing outcomes, all while balancing quality, latency, safety, and cost. Required background includes a track record shipping large-scale ML/AI systems with measurable customer impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, technical leadership, and excellent product/technical judgment and communication.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where it has a legal entity. They are seeking a Principal Technical Program Manager to lead the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with cross-functional scope. The role involves translating business objectives into technical problems, defining a long-term strategy and roadmaps for platform components, and delivering programs that can include capacity planning, migrations, high availability, network architecture, performance optimization, and reliability improvements, with measurable outcomes. Responsibilities include managing end-to-end technical programs, prioritizing tasks, scoping projects, budgeting and scheduling, and coordinating with engineers, architects, and leaders across multiple functions to handle dependencies and drive progress. Minimum qualifications are 8+ years on software teams as a Development Manager or TPM, ability to derive technical programs from business objectives, technical understanding of systems, and strong leadership and communication skills; TPMs are not required to write code but must understand system flows and APIs, with a preferred B.S. in Software Engineering, Computer Science, or a related technical discipline.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, and is seeking a Principal Technical Program Manager to lead highly-prioritized, complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with department- and portfolio-level scope. The role requires turning ambiguous business and technical problems into aligned strategies, bringing senior leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation into agreement, and establishing operating mechanisms that translate strategy into measurable outcomes. You will define a long-term strategy and roadmap for platform and product components, translate business objectives into technical problems to be solved now, and define specific systems programs such as capacity planning, migrations, high availability, network architecture, performance, and reliability improvements, partnering with engineers and architects to make progress. You are expected to manage the entire lifecycle of these programs—from initiation to forecasting, budgeting, and scheduling—while handling complex dependencies and delivering outcomes across the company, using a systematic approach to prioritization and scoping. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical fluency with a willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), and the ability to define and run end-to-end technical programs, while preferred qualifications include a B.S. in Software Engineering, Computer Science, or a related discipline.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role is Principal Technical Program Manager, a senior individual contributor with department- and portfolio-level scope to shape and deliver high-priority, complex programs for the Developer Infrastructure & Productivity teams. Responsibilities include translating business objectives into technical problems, defining a long-term strategy and roadmap, coordinating with leaders across product, engineering, design, and other functions, and delivering measurable outcomes through scalable program-management systems. The role requires managing end-to-end programs across capacities such as migration, high availability, network, performance, and reliability, and partnering with engineers and architects to progress on these problems with a systematic approach to scope, prioritization, budgeting, and scheduling. Qualifications include 8+ years of software-team experience as a Development Manager or TPM, the ability to translate business objectives into technical problems, understanding of systems, and strong leadership and communication skills; a BS in software engineering, CS, or related discipline is preferred.

Atlassian supports flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement, and hires in any country where it has a legal entity. They are looking for a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for Atlassian’s Developer Infrastructure & Productivity teams, as a senior individual contributor with department- and portfolio-level scope. The role involves bringing clarity to ambiguous problems, aligning senior leaders across functions, establishing operating mechanisms to turn strategy into measurable customer and business outcomes, and partnering with leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation across multiple teams and time horizons. You will analyze objectives, customer needs, adoption inhibitors and opportunities, industry trends, and define a long-term strategy and roadmap for platform components, translating business objectives into technical systems problems and defining specific programs (capacity planning, migrations, high availability, network architecture, performance, reliability, etc.) with action plans. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical problem-solving skills, understanding of system flows and APIs, willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), ability to run end-to-end complex programs, and strong leadership and communication; preferred qualification is a B.S. in Software Engineering, Computer Science, or a Technical Discipline.

At Atlassian, employees can work flexibly (office, home, or hybrid) and the company hires globally in countries with a legal entity. They are seeking a senior analytics engineer / sales data analyst to drive data alignment between enterprise go-to-market and finance by designing robust data pipelines and an AI-ready context layer. The role includes building and maintaining data infrastructure for quality and accessibility, creating canonical datasets via ETL/ELT, and monitoring data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. It also involves partnering with finance, data engineering, and other cross-functional teams to flag data inconsistencies, conducting sizing analyses for infrastructure changes, and owning core data transformations from requirements through UAT to implementation. Additionally, the position emphasizes process improvements to reduce manual work, enable scalable analytics, and performing UAT/QA on bug fixes and feature releases for data systems.

Atlassian offers flexible work options and hires globally where it has a legal entity. They seek a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing pipelines to monitor data drift among systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves designing, building, and maintaining data infrastructure for quality, consistency, and accessibility, and leading the development of data products and an AI context layer to scale analytics. Responsibilities include building canonical datasets with high-volume ETL/ELT pipelines using data lakes and warehouses, partnering with finance and other teams to flag data inconsistencies affecting the close, and performing sizing analyses for infrastructure changes with impact analyses. The position also requires owning core system data transformations from requirements to UAT to deployment, leveraging tools to improve efficiency and reduce manual work, and conducting UAT/QA on bug fixes and feature releases.

Atlassian allows employees to work in-office, from home, or a hybrid, and can hire in any country with a legal entity. The Principal Enterprise Security Engineer is the senior technical authority shaping corporate architecture, SaaS platforms, and workforce technologies, guiding the long-term vision and safeguards at scale. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture (endpoint, identity, network, data) and to lead architectural reviews of major initiatives, with controls and maturity assessments. They act as a technical SME, providing security guidance, influencing design and investment decisions, and enabling safe, rapid change through automation of controls and drift detection using IaC/PaC, plus CI/CD for policy/config rollouts. Collaboration is essential, partnering with security, engineering, and product leaders, serving as the architecture liaison between Corporate Security and Product Security, and mentoring security engineers across corporate domains.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where they have a legal entity. The Principal Enterprise Security Engineer serves as the senior technical authority for corporate architecture, SaaS platforms, and workforce technologies, driving long-term vision and controls to safeguard assets while enabling business agility at scale. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture, lead architectural reviews of major initiatives (e.g., AI adoption, zero trust modernization, vendor onboarding), and establish controls and periodic maturity assessments. They provide technical SME guidance, influence platform and service design to embed security from the outset, offer risk-based architectural recommendations, and improve productivity by automating control deployment and drift detection via IaC/PaC, enabling CI/CD for policy/config changes. Collaboration spans security, engineering, and product teams, serving as the architecture liaison between Corporate Security and Product Security, and acting as a role model and mentor for engineers across multiple seniority levels.

Atlassian offers flexible work options and hires globally; this role is based in the United States with a strong preference for Pacific or Mountain time zones and requires regular travel to Sydney, San Francisco, and Seattle. The role is Head of Product for Jira, responsible for leading Jira’s experience, AI, and customer adoption, and for shaping how humans and agents collaborate within Jira. You’ll lead a global team of product managers across Australia, the United States, and India, reporting to Jira’s Head of Product and acting as an immediate deputy for strategy, team building, and executing major initiatives. Key responsibilities include owning the multi-year product strategy for human-agent collaboration, guiding the core Jira experiences (work items, boards, lists, backlogs, plans, views, and mobile), defining AI and Teamwork Graph context, and driving agent adoption from onboarding to habitual use. You’ll also partner with leaders across Atlassian, especially in the Teamwork Collection and AI groups, build an experience-led product culture, and serve as the senior product voice with customers and the market.

- Atlassian offers flexible work options and hires globally; the role is based in the US with a preference for Pacific or Mountain time, and regular travel to Sydney, San Francisco, and Seattle is expected. - The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping how humans and agents collaborate across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. - This leader will head a global team across Australia, the United States, and India, report to Jira’s Head of Product, and act as an immediate deputy responsible for strategy, team-building, and executing major initiatives. - Key focuses include owning a multi-year strategy for human-agent work in Jira, driving the core Jira experiences, defining AI/agent context, and accelerating agent adoption through in-product discovery, onboarding, automation, and related efforts. - Additional responsibilities involve building and scaling a large product organization, upholding experience-led product management standards, partnering cross-functionally with Atlassian teams, and representing customer and market voice to shape a durable Jira vision.

Atlassian offers flexible work options, and this role is based in the United States with Pacific or Mountain time preferred to support collaboration with teams in Australia; you should expect regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents work together across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and be responsible for strategy, team building, and executing major initiatives while working closely with engineering and design and maintaining a high quality bar. The role centers on owning a multi-year product strategy for how humans and agents do work together in Jira, guiding core Jira experiences, and defining AI and agent context to turn Teamwork Graph data into better customer outcomes, plus driving agent adoption through in-product discovery, onboarding, automation, and habitual use. You’ll build and scale the product organization across three geographies, partner with Atlassian leaders in the Teamwork Collection and AI groups to resolve duplicated work and align teams around shared outcomes, and serve as the senior product voice with customers and the market to translate real-world feedback into a durable experience vision.

- Atlassian offers flexible work options (office, from home, or a hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams organize, discuss, and complete work, and are used by Fortune 500 companies and many others worldwide. - The Mid-Market LATAM role covers about 40 accounts (200–10,000 seats) with an annual quota of $2–4M and requires full fluency in Portuguese. - The role leads cross-functional deal teams, builds executive-level relationships across IT, business, and marketing, and uses MEDDPICC to qualify and win complex, multi-solution opportunities focused on customer value. - Responsibilities include collaborating with channel, marketing, product, and customer success teams, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends, negotiating pricing, and occasional travel for meetings and events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. Atlassian’s software helps teams manage work, with products like Jira Software, Confluence, and Jira Service Management, and is trusted by the Fortune 500 and many other companies. The Mid-Market sales team focuses on mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, achieving revenue targets, and acting as a customer advocate by feeding feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The LATAM role requires full Portuguese fluency, owning ~40 accounts with a $2-4M annual quota, leading cross-functional deal teams, building executive relationships, and using MEDDPICC to qualify and win complex opportunities. Additional responsibilities include collaborating with internal teams to maximize customer satisfaction, negotiating and pricing contracts, sourcing leads, providing accurate forecasts, staying updated on industry trends, and occasional travel for meetings and events.

GitLab is an AI-powered DevSecOps platform trusted by millions and Fortune 100 companies, emphasizing AI-driven productivity, innovation, and a high-performance, value-driven culture. The role is an overnight, remote Support Engineer for GitLab Federal’s U.S. Government Support Engineering team, working 12:00am–7:00am EST to help public-sector customers run GitLab in highly secure environments (FedRAMP, air-gapped, or classified) using Linux command-line skills. Key duties include diagnosing and resolving complex GitLab deployments for government customers, performing deep investigations across infrastructure, application, and code paths, documenting knowledge to improve self-service and workflows, and participating in on-call rotations and cross-functional knowledge-sharing. Requirements include U.S. citizenship, end-to-end customer support experience, strong Linux administration, familiarity with AI/LLM tooling and model-serving architectures, scripting (Ruby or Bash) and Rails, Git/CI/CD, DevOps and container technologies (OpenShift/Kubernetes), and knowledge of security/compliance concepts (DISA STIG, SELinux) with eligibility to work in federal environments. The position is with GitLab Federal, LLC, offering a US salary range of $95,200–$160,800 plus benefits, equity, and growth opportunities, and GitLab is an equal opportunity employer that provides accommodations and values diversity.

SmartBear delivers application integrity for modern tech stacks with continuous, AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and brands like Adobe, JetBlue, and Microsoft; its open source tools are downloaded over 100 million times per month and have 30,000+ GitHub stars. Its portfolio includes Swagger, TestComplete, Reflect, QMetry, Zephyr, and others, and the company invites people to learn more at smartbear.com or follow on LinkedIn, X, and Reddit. The Workplace Services Manager role in Somerville, MA entails day-to-day office operations, vendor and service-provider management, health and safety, space planning, events, and food/beverage coordination, requiring 3–5 years of relevant experience. SmartBear emphasizes an inclusive culture, offers growth opportunities, and provides a transparent total rewards package with a base salary range of $60,000–$79,000, plus bonuses and benefits, with compensation determined by experience, skills, and location.

Sentry is hiring a Senior Technical Program Manager in San Francisco (three days per week in the office) to coordinate AI/ML platform work and cross-functional areas including AI/ML, Issues Platform, Product Design, and Ingest to deliver a cohesive product experience. The role involves connecting roadmaps, sequencing work, managing dependencies and integration risks, and shaping release readiness with a lightweight change-readiness process that includes documentation and support preparation. The ideal candidate has experience leading complex cross-team programs from problem definition through launch, with the ability to review designs, discuss architectural tradeoffs, manage dependencies, and communicate progress and decisions clearly; preferred background includes shipping AI/ML features and working with data pipelines or developer tools. Sentry emphasizes team principles like making work visible, raising risks early, reducing friction, respecting ownership, and keeping partners informed to ensure timely delivery. Compensation ranges from $150k to $240k with benefits, and Sentry provides equal opportunity and accommodations per its policies and privacy policy.

Sentry helps developers fix errors and performance issues faster, trusted by 200,000+ organizations and pursuing an AI-native future. The Infrastructure Engineering team builds the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale. The Engineering Manager for Infrastructure Engineering will lead a team responsible for internal admin and change management tools, configuration automation, and the routing layer, owning technical vision, reliability, and cross-team coordination. The role requires nurturing engineers, fostering an inclusive, high-performing culture, and partnering with Production Engineering, SRE, and Developer Infrastructure to keep tooling consistent as the company grows. Qualifications include 10+ years of software engineering, 4+ years of management experience, experience leading architecture of internal control platforms, strong Python skills, familiarity with Kubernetes and Terraform, excellent technical communication, and a base salary of $220,000–$400,000 USD plus up to 15% annual bonus, along with benefits and equal opportunity commitments.

Sentry is a software monitoring company trusted by over 200,000 organizations, helping developers fix errors and performance issues faster while building an AI-native future. In this role, you’ll own AI-assisted coding within Sentry’s Platform Engineering organization, bridging teams with Developer Infrastructure as your home base and starting by making internal developer systems accessible to agents via APIs and integrating tools like Claude Code. You’ll build context and execution environments for agents, implement checks and evaluations to improve AI-generated pull requests, and automate recurring work such as dependency upgrades and minor bug fixes, while expanding workflows across issues and CI/CD. Qualifications include 10+ years of software engineering, experience building developer tooling or automation used by engineering teams, hands-on experience with AI coding tools and agents, and strong communication; prior ML experience is not required. The base salary range is $220,000 to $400,000 plus up to 15% annual bonus, with full benefits and equal opportunity, Sentry’s open-source ethos, and accommodations; the role is based in San Francisco with three days per week in the office.

Sentry helps developers fix errors and performance issues faster, is trusted by 200,000+ organizations, and is building an AI-native future. The Engineering Manager for the Events Analytics Platform (EAP) leads engineers who store, query, and analyze event data—such as errors, transactions, spans, profiles, replays, and metrics—and powers Sentry’s AI initiatives like Seer. You’ll grow a high-impact team, set technical direction, drive core EAP features, enable large-scale cross-event querying, support AI workloads, unify event data, and lead cross-functional collaboration and incident response. Qualifications include 10+ years in software engineering with 4+ years of people management, a strong background in data platforms or analytical backends (e.g., ClickHouse, Pinot, Druid), experience with distributed systems and query optimization, and Python or Rust; compensation ranges from $220k to $400k base plus up to 15% annual bonus, plus benefits. Sentry is an equal opportunity employer with a commitment to diversity and inclusion, offers accommodations for disabilities, and provides details in its applicant privacy policy.

Sentry is a leading application monitoring company that helps developers fix issues faster and is expanding its Platform team with a Senior Staff Software Engineer to shape infrastructure, streaming, and storage across the organization. The role will set technical direction for platform initiatives, own cross-team projects from design to production, address bottlenecks and reliability risks, and stay hands-on with design, prototyping, and coding. You’ll partner with engineering and product leaders to prioritize platform investments, guide major architectural decisions, mentor senior and staff engineers, and build alignment across teams. Requirements include 12+ years of software engineering, a proven track record leading cross-team initiatives, deep cloud experience (AWS or GCP), and expertise in cloud infrastructure, streaming, and storage with strong hands-on skills. Compensation ranges from $260,000 to $400,000 base plus up to 20% annual bonus, with benefits and equal opportunity commitments, and the company’s open-source and accessibility ethos plus accommodations if needed.

DX, a fast-growing SaaS company headquartered in Salt Lake City and now part of Atlassian, helps engineering leaders build high-performing teams by collecting millions of data points daily to reveal developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX values individual mastery and the highest level of performance, emphasizing that while outcomes depend on factors beyond control, you should strive to perform at the highest level. In this role you’ll coach a team of Strategic Account Executives to consistently hit revenue targets, operate as a player-coach on high-stakes deals, institutionalize the sales process with rigorous pipeline discipline and accurate forecasting, analyze performance to coach underperformers, drive GTM improvements from frontline feedback, and recruit and onboard top talent while fostering a culture of continuous learning. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-driven decisions with the human element, and possess high emotional intelligence to navigate complex stakeholders.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The Central AI Org drives AI innovation across all Atlassian products, aiming for seamless AI experiences and a robust AI infrastructure, including horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, plus exploration of AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize end-to-end large-scale model serving systems, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems for billions of requests, establish CI/CD for model deployment, and collaborate to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where they have a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products, build a robust AI infrastructure, and create a centralized search, Q&A, and conversational AI system integrated across products while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive tools for development, deployment, measurement, and operation of AI/ML models for Atlassian teams and the broader ecosystem. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving end-to-end, encompassing distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable serving, optimizing latency and throughput under production workloads, building high-concurrency systems, benchmarking and accelerating inference engines, enabling CI/CD for model deployment and inference updates, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires anywhere with a legal entity to support employees’ family, personal goals, and priorities. The Central AI Org is dedicated to driving AI innovation across all Atlassian products by developing horizontal AI capabilities, a centralized Search/Q&A/Conversations system, and exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools for developing, deploying, measuring, and operating AI models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize end-to-end large-scale model serving systems, from distributed infrastructure to low-level GPU optimizations. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems, benchmark and accelerate inference engines, and develop CI/CD for seamless model deployment while partnering to fine-tune open-source LLMs.

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires people in any country where they have a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure (Search, Q&A, and Conversational AI) while exploring external AI integrations. The AI & ML Platform Team aims to democratize AI and ML for Atlassian's teams, customers, and ecosystem by providing productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure, optimizing latency and throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by creating productive tools to develop, deploy, measure, and operate AI/ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and partnering with senior engineers to fine-tune open-source LLMs for deployment.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role involves delivering agentic search capabilities via APIs and the Model Context Protocol, building benchmarks, enabling trustworthy comparisons, and improving the full search system—from interpreting user intent to tool selection and evidence-based adaptation. You’ll own projects end-to-end, collaborate across product, search, and AI teams, mentor engineers, and help evolve engineering practices with AI tools. The candidate should have a CS degree (or equivalent), 4+ years of production ML experience, strong Python skills, and experience with LLMs, NLP, or information retrieval; additional preferred experiences include API design, agent evaluations, retrieval-augmented methods, and distributed cloud ML environments.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge, reason about questions, and perform tasks across products and tools. The team integrates enterprise search into Atlassian products, third-party AI assistants, and developer workflows, using intent interpretation, search planning, tool use, and adapting to new evidence, guided by rigorous evaluation and benchmarks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol (MCP), building reproducible benchmarks, improving the full search system from model behavior to interfaces, and owning projects end-to-end with collaboration across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/retrieval/NLP, designing experiments and evaluation, daily use of AI tools, and understanding the ML lifecycle, with preferred extras like building tool-using agents, MCP/API design, and distributed/cloud ML experience.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where they have a legal entity. They’re seeking a Senior Machine Learning Engineer for the Agentic Search team to build systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role sits in Search Relevance and focuses on interpreting intent, planning searches, using tools, and adapting to new evidence, with rigorous evaluation guiding development and a blend of applied research with production engineering. You’ll build agentic search capabilities via APIs and protocols like MCP, create reproducible benchmarks, diagnose failures, and collaborate across product, search, and AI teams, owning projects end-to-end and helping evolve engineering practices including the use of AI tools. Requirements include a degree or equivalent, 4+ years of ML experience, strong Python skills, experience with LLMs/info retrieval/NLP, designing experiments and evaluating models, daily use of AI tools, understanding the ML lifecycle, and the ability to lead ambiguous technical projects; additional preferred experience includes building agents/tools, API design, reproducible benchmarks, hybrid retrieval, LLM fine-tuning, and cloud ML environments.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer for the Agentic Search team within Search Relevance to build systems that help people and AI agents discover enterprise knowledge and accomplish tasks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol, building evaluation benchmarks, and iterating based on results to improve search behavior, tool use, and interfaces. The role requires owning projects end-to-end from problem definition to deployment, using AI tools for prototyping and learning while respecting enterprise permissions and data boundaries, and collaborating across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML experience, strong Python, experience with LLMs/IR/NLP, experimental design and evaluation, and the ability to lead ambiguous technical projects; desirable extras include experience building tool-using agents, API design, reproducible benchmarks, and cloud ML environments.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity to help teammates balance family, personal goals, and priorities. The Senior Machine Learning Engineer – Agentic Search role sits in Atlassian’s Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and tools. The team designs systems that interpret intent, plan searches, use tools, and adapt as new evidence emerges, guided by rigorous benchmarks that reflect realistic tasks and aim to improve the full search experience and interfaces. Responsibilities include delivering agentic search capabilities via APIs and Protocols like the Model Context Protocol (MCP), creating reproducible benchmarks, enabling trustworthy comparisons, improving models, tools, and interfaces, and collaborating across product, search, and AI teams while mentoring others and integrating agentic search into customer experiences. Required background includes a CS degree or equivalent, 4+ years of production ML experience, strong Python, experience with LLMs, information retrieval, or NLP, experimental design and evaluation, daily use of AI tools, and the ability to lead ambiguous projects; preferred but not required are experience building agents, APIs/interfaces for AI agents (including MCP), benchmark development, and experience with semantic/hybrid retrieval, LLM fine-tuning, and cloud ML environments like Spark, AWS, or Databricks.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. The role is with the Spark Growth team, focusing on top-of-funnel experimentation, customer acquisition, and building AEO/SEO features to help millions discover and sign up for Atlassian products. The position emphasizes people leadership—mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition for hiring, and monitoring team health to deliver measurable customer and business value with speed and consistency. Technical leadership includes shaping long-term architecture, establishing AEO methodologies, promoting engineering excellence and system resilience, and guiding decisions to ensure scalability and maintainability. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS degree, strong background in distributed systems/cloud/developer tooling, experience with applied AI/ML, and collaboration with product managers, TPMs, and designers.

- Atlassian supports flexible work locations and hires in any country where it has a legal entity. - The role is on the Spark Growth team, focusing on top-of-funnel customer acquisition, experimentation, personalization, and building AEO/SEO features to help millions discover Atlassian products. - You will lead people by mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health. - You will own team outcomes across multiple workstreams, make pragmatic prioritization and trade-off decisions, and refine agile processes to improve velocity and reliability. - Technical leadership duties include shaping architecture and AEO methodologies, championing engineering excellence and system resilience, and qualifications include 5+ years managing software teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, plus experience with distributed systems, cloud infrastructure, and AI/ML.

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The opportunity is with the Spark Growth team, focusing on high-impact experimentation to drive top-of-funnel customer acquisition and build AEO/SEO features that help millions discover Atlassian products. Leadership responsibilities include coaching engineers, fostering an inclusive and high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health to sustain engagement and outcomes. Technical leadership tasks involve owning architectural direction, defining long-term strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS-related degree, experience with distributed systems and cloud infrastructure, and familiarity with AI/ML and cross-functional collaboration with product managers, TPMs, and designers.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is with the Spark Growth team, focused on world-class experimentation at scale to drive top-of-funnel customer acquisition and to build AEO/SEO features that help millions discover and sign up for Atlassian products. The position combines People Leadership & Team Health (mentoring, inclusive culture, talent hiring, and monitoring team well-being) with Delivery & Outcome ownership (driving multi-workstream execution, prioritization, and agile process improvements). Technical Leadership & Architecture responsibilities include setting the medium-to-long-term technical direction, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark matters: meaningfully impact early, learn through data-driven experimentation, and work with metrics tied to customer impact, while candidates bring 5+ years leading software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, strong distributed systems/cloud experience, and AI/ML tooling expertise.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. DX is headquartered in Salt Lake City, Utah, and is a fast-growing SaaS company that helps engineering leaders build high-performing, productive teams. The company collects millions of data points daily to power insights into developer productivity and experience for customers such as Pinterest, GitHub, BNY, and Xero. DX has scaled profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, the core value is mastery—being the best at your craft—and the role involves building data pipelines, designing data models for the AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications, collaborating with research and engineering, ensuring data quality, supporting ad hoc requests, and documenting schemas and processes for self-serve access.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - The Product Data Engineering (DE) organization is seeking a Senior Data Engineer reporting to the Senior Data Engineering Manager. - The role focuses on designing premier data architecture to drive strategic decision-making, translating operational needs into technical requirements, and leading initiatives to improve system efficiency. - Responsibilities include partnering across engineering, mentoring junior engineers, building scalable data solutions, developing ELT/ETL pipelines for large-scale and specialized datasets, designing robust data models, implementing data quality frameworks, owning the end-to-end data lifecycle, participating in on-call rotations, and enabling rapid, self-service data consumption by software teams. - The position requires collaboration with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements.

Atlassian supports flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architecture and solutions to drive strategic decision-making. The role involves collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements and spearheading company-wide efficiency initiatives. Responsibilities include partnering across engineering teams, mentoring junior engineers, designing scalable data solutions, building ELT/ETL pipelines, creating robust data models, implementing data quality frameworks, and owning the end-to-end data lifecycle, including on-call support. They will work with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Product DE organization is seeking a Senior Data Engineer who will design premier data architecture and lead initiatives that drive strategic decision-making. The role involves collaborating with business stakeholders to translate operational needs into technical requirements, partnering across engineering to execute high-impact initiatives, and mentoring junior engineers. You will design scalable, high-performance data solutions, develop ELT/ETL pipelines for large-scale and specialized datasets, build robust data models, implement data quality frameworks, and own the end-to-end data engineering lifecycle. Additionally, you will participate in on-call rotation and work with software engineering teams to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Senior Data Engineer in the Product Data Engineering (DE) organization to design premier data architecture and drive strategic decision-making while translating operational needs into technical requirements and improving overall system efficiency. The role includes partnering across engineering to lead high-impact, company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize business data requirements. You will develop scalable, high-performance data solutions, including ELT/ETL pipelines for large-scale and specialized datasets, robust data models, and data quality frameworks with end-to-end lifecycle ownership. The position also requires participating in on-call rotations for platform stability and partnering with software engineering to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work choices—office, home, or a hybrid arrangement—and hires in any country where the company has a legal entity. The Product Data Engineering organization is seeking a Senior Data Engineer who reports to the Senior Data Engineering Manager. The role focuses on designing premier data architecture and solutions that drive strategic decision-making, while translating operational needs into technical requirements and driving efficiency initiatives. Key responsibilities include partnering across engineering teams, mentoring junior engineers, collaborating with leadership and data scientists to prioritize data needs, and building scalable data solutions, ELT/ETL pipelines, robust data models, and data quality frameworks. Additional duties involve owning the end-to-end data engineering lifecycle, participating in on-call rotations for platform stability, and working with software teams to develop next-generation self-service data systems.

Atlassian allows employees to work in an office, from home, or in a hybrid arrangement, and can hire people in any country where it has a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architectures and solutions that support strategic decision-making, translating operational needs into technical requirements and leading initiatives to improve system efficiency. The role involves partnering with engineering teams to drive company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data needs. You will design scalable, high-performance data solutions, develop ELT/ETL pipelines for large-scale and specialized datasets, create robust data models for fast storage and retrieval, implement data quality frameworks, and own the full data engineering lifecycle for your team’s solutions. You will participate in on-call rotations to maintain platform stability and work with software engineering teams to build next-generation data systems for rapid, self-service data consumption.

- Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity. - The Atlassian Intern Program combines hands-on training, mentorship, and exposure to innovative technologies like AI that are shaping the future of product management, aiming to launch students into impactful careers. - The internship role is in the Pacific Time Zone and requires ability to work there; it is not eligible for F1/J1 students and does not offer sponsorship. - Interns will collaborate with product, design, and engineering teams, speak with customers and partners, translate insights into actionable plans, research competitors and AI tools, and prototype solutions. - Applicants should have an interest in analyzing technology products and markets, translating insights for engineering, and applying AI, with eligibility including full-time technical degree enrollment, return-to-program after the internship, expected graduation by June 2028, and a 40-hour workweek.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data insights to uncover growth opportunities, optimize the sales process, and increase market share. Success is measured by profitability, market share, and customer delight, with a focus on delivering sustainable, monetizable advantages in the market. Atlassian is seeking a Principal Strategist to develop the GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth and deliver scalable value. The role requires an independent, highly capable contributor who partners with Public Sector leadership, conducts internal and market due diligence, leads cross-functional stakeholder management, and influences across all levels from frontline to C-suite to secure resources and execute the strategy.

The role is for a highly strategic, analytical, and execution-driven Program Manager to lead complex cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, bringing clarity and momentum to ambiguous environments. You will design and manage a unified transformation operating model that aligns teams, drives accountability, and accelerates business outcomes, maintaining a single source of truth across Product, Sales, Success, Strategy, and Operations, and using Atlassian tools for integrated roadmaps and cross-vector dependency tracking. You will own end-to-end program outcomes, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and collect data to produce actionable insights and progress reports. You will apply strategic problem-solving, data-driven decision-making, and systems thinking to identify root causes, propose actionable solutions, resolve obstacles, and improve efficiency while communicating effectively with diverse audiences and influencing executive stakeholders. You will lead structured program management and execution, including creating charters and problem statements, mapping LRPs, leading quarterly planning (SteerCo), managing backlog, governance with DRIs, and ensuring initiatives are aligned to broader business goals.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally where they have a legal entity to support family, personal goals, and priorities. As a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems. You’ll define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and lead the architecture of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll drive end-to-end outcomes for cross-team initiatives, advance portable cloud-native execution across GCP and AWS, and champion operational excellence and improved developer experience through self-service APIs, automation, and clear platform contracts. Success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader impact across Atlassian, with mentorship and influence across geographies and product and engineering leaders.

At Atlassian, employees can work in-office, from home, or in a hybrid arrangement, and the company can hire people in any country where it has a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you own complex, high-impact outcomes from problem definition through production and bring deep expertise in agent infrastructure and distributed systems. You’ll shape the platform’s architecture and technical direction, making trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operational reality. You’ll influence across teams and geographies, partner with product and engineering leaders, raise engineers’ effectiveness through coaching and design leadership, and drive success measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader Atlassian impact. Responsibilities include defining the technical strategy for secure, low-latency compute for AI agents and untrusted workloads; leading architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; owning end-to-end outcomes for cross-team initiatives; advancing portable cloud-native execution across GCP and AWS; championing operational excellence; improving developer experience; and mentoring engineers to grow an inclusive, high-performing team.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of its distributed-first culture, aiming to help customers compete in the digital economy, with a multi-billion-dollar software business serving over 300,000 paying customers. This is a people-management role in Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers handling high-value enterprise deals. You’ll oversee the quote-to-cash process, deal shaping, pricing, contract management, and booking, while providing strategic deal advisory to sales, finance, revenue, and legal, and mentoring junior analysts plus leading cross-functional projects to improve deal operations and scale contracting. Requirements include at least five years in a relevant B2B SaaS function, at least two years of people management, strong Excel skills, willingness to join daily video chats, a BS/BA, and knowledge of CPQ/QTC tools such as Salesforce, Oracle Fusion, NetSuite, JIRA, Confluence, and Docusign. Additional qualifications involve establishing governance for deal reviews and deal flow to anticipate issues, along with experience supporting customers, partners, and sellers in deal shaping, negotiations, financial modeling, and risk optimization on complex contracts.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires globally with virtual interviews as part of its distributed-first approach. This is a people-management role in the revenue operations organization, serving as Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers responsible for high-value enterprise deals. Responsibilities include guiding the end-to-end quote-to-cash process, deal shaping, quoting, pricing, terms structuring, financial analysis, contracting and booking, and providing strategic deal advisory to sales, finance, revenue, and legal while mentoring junior analysts. You will build cross-functional projects to improve deal operations, operationalize new products and pricing, and ensure client-facing documents comply with policies and regulations such as GDPR, revenue recognition, and SOX. Requirements include at least five years of experience in a B2B SaaS environment related to deal desk or revenue operations, at least two years of people management, strong Excel skills, willingness to join daily video chats, a BS/BA in a relevant field, and experience with CPQ/QTC tools and systems like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus governance expertise for deal reviews and risk-adjusted deal flow.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. Atlassian aims to help customers compete in the modern digital economy and has built a multi-billion-dollar software business with hundreds of thousands of customers, millions of users, and a culture focused on customer success. This is a people-management role in Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers to support high-value enterprise deals across the quote-to-cash process. Responsibilities include building and managing the team, ensuring efficient deal execution and structure, providing strategic advisory to sales, finance, revenue, and legal, becoming an expert in deal capabilities, mentoring, leading cross-functional process-improvement projects, and ensuring compliance with GDPR, revenue recognition, and SOX. Requirements include at least five years in a relevant B2B SaaS function, at least two years in people management, strong Excel skills, willingness to participate in daily video chats, a BS/BA in a business-related field, knowledge of CPQ/QTC tools and major software, and experience in deal shaping/structuring, negotiations, financial modeling, and governance for deal reviews.

Atlassian offers flexible work locations—office, from home, or a hybrid approach—and hires in any country where it has a legal entity, supporting personal priorities and family goals. The Mid-Market sales team manages a portfolio of ~30-40 accounts with 200-10,000 seats and an annual quota of $1.5-3M, aiming for net-new growth and expansion. The role leads cross-functional deal teams (SDR, SE, SSE, AM, partners), builds executive relationships across IT, business, sales, and marketing, and uses MEDDPICC to qualify and close complex opportunities focused on customer outcomes. You will collaborate with channel, marketing, product, and customer success to maximize satisfaction, negotiate and price contracts, source leads, maintain a healthy pipeline, and provide accurate forecasting. Travel is occasional for customer meetings and events, and you’ll stay current on industry trends, advocate for customers by feeding feedback to product and engineering teams, and help deploy Atlassian at scale as part of the TEAM.

Atlassian offers flexible work options and hires globally wherever it has a legal entity, giving employees control over family and personal priorities. They are hiring a Lead Product Designer to join the AI Design team, focusing on AI experiences across Atlassian including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom, designing AI with AI, and partnering with leadership and cross-functional teams to create a unified view of AI capabilities while advocating for the user experience. Requirements include 7+ years of enterprise software product design experience, experience with applied AI in areas like Search, AI Chat, and Agents, and being a systems thinker who can coordinate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The company is seeking a Lead Product Designer to join the AI Design team and work on AI experiences across Atlassian, including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom on applied AI, modeling AI-enabled design practices, and partnering with leadership and cross-functional teams to unify AI capabilities across Atlassian. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in products like Search, AI Chat, and Agents, and strong systems-thinking skills to integrate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian supports flexible work arrangements—office, remote, or hybrid—with hiring in any country that has a legal entity, and interviews and onboarding conducted virtually as part of being a distributed-first company. The Digital & Agentic Success team is building systems, intelligence, and operating models to scale customer success through data, automation, and AI-driven orchestration, turning complex customer signals into proactive journeys. They are seeking an Agentic Success Portfolio Lead—a data-forward builder and operator—to lead the systems, telemetry pipelines, and AI orchestration layer powering the Digital Success OS, bridging data engineering, data science, AI workflows, and customer journey orchestration to support at-scale digital, agentic, and human interventions. Responsibilities include building the Digital Success OS with data flows and journey orchestration, turning telemetry and signals into plays and handoffs, closing ownership gaps, and maintaining governance to protect delivery momentum. You will own data foundation and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation to demonstrate impact on adoption, engagement, and agent effectiveness.

GitLab presents itself as an AI-enabled DevSecOps platform trusted by millions and Fortune 100 companies, emphasizing increased developer productivity, security, and a high-performance culture. They are hiring a Senior Product Manager to own the Lead-to-Opportunity domain within Salesforce and the GTM tech stack, overseeing how leads are captured, scored, routed, and converted into pipeline. The role entails owning a multi-quarter internal roadmap, translating business strategy into prioritized capabilities, driving planning, maintaining domain documentation, serving as the primary voice for L2O/GTM initiatives, mentoring BSAs, and evolving the team's operating model. Requirements include 7+ years in relevant roles, deep knowledge of lead-to-opportunity processes and GTM tools, ability to engage with engineering on APIs and data models, and experience delivering end-to-end initiatives plus AI-enabled workflows and data governance familiarity. Compensation includes a United States salary range of $104,800–$176,400 (plus incentives up to 100% of base for sales roles), remote work eligibility, and benefits such as growth funds, parental leave, equity, and a strong commitment to equal opportunity.

GitLab is an intelligent DevSecOps orchestration platform used by 50 million+ users and trusted by more than half of the Fortune 100, emphasizing AI as a core productivity multiplier and a high-performance, inclusive culture. The role is Director of Regional Sales for GitLab’s National Security Group, leading a field-based team of Account Executives to drive new and expansion revenue with US federal NSG departments and shaping offerings authorized under FedRAMP. Responsibilities include recruiting and coaching the team, owning regional pipeline and forecasts using MEDDPICC, guiding complex federal procurement with partners like Carahsoft, and expanding within large agencies for long-term platform adoption. Requirements cover experience in open source/DevOps, sales operations and CRM mastery, success in regulated environments, MEDDPICC or similar methodologies, and proven leadership of regional field-based teams with strong executive relationship management aligned to GitLab values. The NSG sales team is fully remote, with a US salary range of $148,000–$248,400 plus incentives, benefits, and equity, and GitLab emphasizes equal opportunity and location-based eligibility while encouraging candidates from underrepresented groups to apply.

The AI Success Strategist at Zendesk leads end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategies, defining a long-term AI vision, and building executive partnerships to launch AI initiatives strongly and scale them predictably. The role’s mission is to accelerate time-to-value by driving adoption and operational excellence for Zendesk AI solutions, owning multi-year roadmaps and orchestrating cross-functional delivery to improve renewals, growth, and measurable business impact. Responsibilities include owning AI roadmap design and execution, serving as the design authority for deployments, coordinating cross-functional teams, partnering with executives on long-term AI strategy, maintaining mutual AI roadmaps, and driving data-driven adoption metrics and responsible AI practices. Qualifications include 10+ years in customer success/experience, 2+ years in AI-related roles, enterprise SaaS GTM experience in relevant roles, experience with adoption analytics, a bachelor’s degree (advanced degrees and AI strategy/project mgmt certs preferred), and AI domain knowledge as a plus. Compensation is US OTE $185k–$277k with a 70/30 base/commission mix (bonus/benefits possible); Zendesk supports hybrid work, is an equal opportunity employer, and may screen applicants with AI systems while providing accommodations.

The role seeks professionals with 2–5 years of full-cycle B2B SaaS closing experience, including 1–2 years in mid-market, MEDDPICC proficiency, and the ability to manage high deal volume while pursuing deep, strategic opportunities in a multi-product environment. Candidates should have strong executive communication skills to adapt from LOB champions to VP/C-suite in the same deal, plus AI fluency to boost productivity, research, account planning, and customer engagement, and be proficient with Salesforce, Outreach (or similar), and Gong. The company promises support, connection, and growth, with a global benefits package that typically includes equity, wellbeing benefits, a WFH equipment allowance, and an annual Learning & Development stipend, with some location-specific variations. Miro is a visual workspace for innovation, serving over 100 million users and 250,000 companies from co-headquarters in San Francisco and Amsterdam, with more than 1,600 employees across 13 hubs. Miro emphasizes diversity, belonging, and collaboration, aiming to create a welcoming, inclusive environment and protecting applicants' data under its Recruitment Privacy Policy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ personal priorities. The company is hiring a Technical Head of Engineering to lead the Agent Platform, combining people management with hands-on technical leadership in applied ML, agentic systems, platform engineering, and production-grade AI. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, and scalable across Atlassian, connecting to Rovo, Teamwork Graph, Jira agent workflows, and other products to enable agentic experiences that reason over work context and orchestrate tools while ensuring security and evaluation systems. This role exists because Atlassian is heavily investing in AI-native experiences and needs a leader who can set direction, build talent, and translate AI strategy into practical platform capabilities with ML and systems depth, not just management. Key responsibilities include setting technical direction with stakeholders, leading and developing the team (including hiring), hands-on production coding, guiding decisions on ML systems and operations, establishing an operating cadence, balancing speed with quality, trust, security, and cost efficiency, and collaborating with other teams to align roadmaps and foster an inclusive, high-accountability culture.

- Atlassian supports flexible work locations and hires globally where they have a legal entity. - They’re hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences. - The Agent Platform Team builds foundational, reusable capabilities to make AI agents useful, secure, scalable, and integrated with products like Rovo, Teamwork Graph, and Jira agent workflows. - The role requires both strategic direction and hands-on coding—guiding ML architecture, evaluation, quality, reliability, observability, production operations, and team development while balancing speed with security, privacy, and cost. - The leader will translate AI strategy into practical platform capabilities, align roadmaps with stakeholders across Rovo, Product and platform teams, and foster an inclusive, high-accountability culture.

Atlassian supports flexible work locations and hires people in any country where they have a legal entity. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, and capable of being an individual contributor or a people manager. The Agent Platform Team builds foundational, secure, and scalable capabilities that enable AI agents to reason over work context, orchestrate across tools, and deliver meaningful outcomes across Atlassian products, while ensuring security and building evaluation systems. The role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring a leader who can translate broad AI strategy into practical platform capabilities and drive architecture, evaluation, reliability, and tradeoffs with senior engineers. Key responsibilities include setting technical direction with stakeholders; leading and developing a team (hiring, performance, career growth); writing production code; guiding decisions on ML systems, context retrieval, evaluation, observability, and production operations; establishing a strong operating cadence; balancing speed with quality, trust, privacy, cost efficiency, and operational readiness; and aligning roadmaps with Rovo, product, and platform teams while fostering an inclusive, high-accountability culture.

Atlassian offers flexible work options—office, home, or a mix—and hires globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role focuses on analyzing objectives, customer needs, adoption inhibitors, and industry trends to define a long-term platform and product strategy and roadmaps in collaboration with stakeholders. It involves identifying architectural bottlenecks to shape multi-year technical strategies for core Sales, Commerce & Finance systems and translating complex business requirements into clear technical problems and roadmaps. The position leads cross-organizational programs such as billing modernization, legacy platform migrations, high availability, and SOX/financial controls, and identifies gaps to plan actions to realize the strategy with engineers and architects. It requires partnering across UX, engineering leaders, and cross-functional teams to align on experiences and scalable integrations, while driving governance, predictable delivery, and mentoring the Technical Program Management craft.

At Atlassian, employees can work anywhere—office, home, or a blend—because the company supports flexible work and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role involves analyzing business objectives, customer needs, adoption inhibitors, and industry trends to define a long-term strategy and multi-year roadmaps for platform and product components in close collaboration with stakeholders. It also requires analyzing architectural bottlenecks to establish long-term technical strategy for core Sales, Commerce & Finance systems, translating complex quote-to-cash models and regulatory requirements into clear technical problems and roadmaps. You will define and lead high-impact, cross-organizational programs (e.g., billing modernization, legacy migrations, high availability, SOX controls), identify product gaps, and create action plans for capacity planning, cloud services, or new product development. The role demands partnering with UX Designers, Principal Engineers, Architects, and Engineering Directors to shape experiences, API designs, and scalable platform integrations, while driving governance, metrics, risk mitigation, cross-functional alignment, and mentoring the Technical Program Management craft.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity; they’re seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle and help close enterprise deals. The role involves partnering with sales teams, partners, and large account teams on transformation deals in global accounts with multi-million dollar spend, and engaging with C-level executives to map customer needs to Atlassian products and solutions. You will lead value-based demonstrations, articulate the value of Atlassian software, understand the customer's technical needs, and build cross-product opportunities in collaboration with aligned account executives. You’ll track product feedback and competitive intelligence, advocate for product management, support cross-functional teams, and continuously learn Atlassian's offerings, solutions, and sales processes. Compensation includes equitable pay with geographic pay zones in the US (Zone A, B, C) and potential benefits, bonuses, commissions, and equity; pay-zone details are online and confirmed with the recruiter.

Atlassian offers flexible work locations and hires globally where it has a legal entity, giving employees more control over family and personal priorities. They are seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with sales, partners, and large account teams on transformation deals; engaging with C-level executives; conducting customer discovery and mapping business needs to Atlassian products; identifying cross-product opportunities; leading value-based demonstrations; and guiding customers’ technical needs with cross-functional collaboration. The role entails gathering product feedback and competitive intelligence, advocating for internal development, and continuously learning to refine pre-sales and product knowledge and sales processes. Compensation is designed to be equitable and competitive, with US base pay zones A, B, and C ranging from $168,300-$219,725, $151,271-$197,493, and $139,506-$182,132 respectively, plus benefits, bonuses, commissions, and equity; candidates should confirm the zone with their recruiter using go.atlassian.com/payzones.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The role is Senior Solutions Engineer, Strategic, focused on being a product expert in the sales cycle to solve customers’ hardest business problems and help close enterprise deals. Responsibilities include partnering with sales teams and executives in large global accounts, conducting customer discovery to map needs to Atlassian products, and leading value-based demonstrations while identifying cross-product opportunities. The role also involves building executive relationships, guiding technical requirements with cross-functional teams, and collecting product feedback and competitive intelligence for internal use, with ongoing learning to deepen product knowledge. Compensation is equitable and competitive, with base pay by geographic pay zones (Zone A: 168,300–219,725; Zone B: 151,271–197,493; Zone C: 139,506–182,132), and may include benefits, bonuses, commissions, and equity; details are available at go.atlassian.com/payzones and should be confirmed with a recruiter.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both to better support personal goals and priorities. The company hires people in any country where it has a legal entity. They are hiring a Senior Front End Software Engineer who will report to an Engineering Manager and collaborate with design and product management to influence the product direction. The role involves writing and shipping efficient, fast, scalable, and high-quality client code that delivers value to customers and supports the goal of becoming the best project management tool for business teams. Responsibilities include delivering projects autonomously from design to launch, collaborating across engineers, designers, and managers, partnering with design and product teams, and contributing to code reviews, documentation, and complex bug fixes.

- Atlassian supports flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. - The company is seeking a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI & Agent Platforms. - The role will drive the evolution of foundational conversational interfaces, agent execution runtimes, extensible skill ecosystems, contextual memory architectures, and policy-driven model routing, treating the AI platform as Platform Products with first-class developer experience, robust API contracts, and sound economics. - Responsibilities include multi-quarter roadmaps for agent loops and memory/skill orchestration, large-scale platform migrations with zero user disruption, and establishing SLOs, observability, AI cost optimization, caching, capacity planning, plus data residency, privacy controls, and AI safety guardrails. - The position requires cross-functional influence across leadership, alignment with executive stakeholders, and mentoring of TPMs to elevate platform thinking and execution excellence.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to retention and long-term value. 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, including cross-product recommendations and a unified ranking/orchestration system. You will design, build, and operate ML systems for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, while defining the strategy for evolving Atlassian’s ML capabilities. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities, building datasets, evaluation frameworks, and running offline and online experiments with attention to attribution, latency, quality, and fairness. Requirements include 5+ years of ML experience, Python (plus Java/Typescript), SQL, Spark, cloud data environments (AWS/Databricks), experience with large-scale data, strong communication, agile mindset, and familiarity with contextual bandits, recommender systems, causal inference; preferred but not required: B2B/B2C SaaS or enterprise experience in growth-focused ML.

Atlassian offers flexible work options to balance business responsibilities and family needs. They are hiring a Machine Learning Engineer for the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The role focuses on turning behavioral and product signals into scalable ML systems for cross-product recommendations and a unified, value-aware orchestration of personalized journeys across surfaces like navigation, flags, and app-switcher experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, expansion, and sales experiences, define the ML strategy, and collaborate with product, engineering, data science, analytics, marketing, and sales to translate opportunities into experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include a BS/MS in CS or equivalent, 5+ years of ML experience, strong Python (plus Java/TypeScript), SQL, Spark, cloud data environments, large-scale modeling, datasets/evals, excellent communication, and an agile, pragmatic approach; familiarity with contextual bandits, uplift modeling, recommender systems, causal inference is a plus, with preferred experience in SaaS/B2B growth and personalization.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where the company has a legal entity. Atlassian’s design approach centers on clarity, connection, and joy, with AI at the core to create intuitive, human-centered interactions across tools. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo), unifying strategic bets, workforce capacity, delivery, and financials into a single living view. Responsibilities include defining the 0-to-1 design vision, setting craft standards, managing 5–10 designers, partnering with Product and Engineering leadership, and championing AI-native workflows to earn trust from C-suite and portfolio managers. Qualifications include experience scaling senior ICs/managers, a portfolio demonstrating consumer-grade craft, success in nascent 0-to-1 environments, hands-on AI prototyping, and fluency in B2B/enterprise domains; preferred are AI-first backgrounds and familiarity with SPM, OKRs, analytics, workforce planning, or financial governance platforms.

Atlassian offers flexible work options—office, home, or hybrid—with global hiring and virtual interviews and onboarding as part of a distributed-first approach. The company is on a mission to help customers compete in the modern digital economy, boasting a multi-billion-dollar software business, over 300,000 paying customers, hundreds of partners, and millions of users, all within a culture that is open, collaborative, and customer-focused. This remote role in Deal Desk AMER supports the high-value enterprise deal lifecycle for strategic accounts, reporting to the Manager of the Strategic Sales segment, and involves structuring and modeling deals to balance customer outcomes with Atlassian’s commercial and risk goals. Responsibilities include providing strategic deal advisory to sales, finance, and legal; becoming an expert in pricing, packaging, contracts, and related systems; building trusted advisor relationships; leading cross-functional deal strategy and lead-to-cash initiatives; ensuring product/pricing changes are deal-ready; and mentoring junior team members. Requirements include at least five years in B2B SaaS deal-related roles, experience with complex deals and senior stakeholder alignment, development of playbooks for strategic motions, a BS/BA in a related field, knowledge of CPQ/QTC and core GTM systems (e.g., Salesforce, Oracle, NetSuite, Jira, Confluence, DocuSign), governance practices for strategic deal reviews, and strong Excel modeling with the ability to prioritize strategic work over ad-hoc tasks.

Atlassian supports flexible work locations and hires in any country where it has a legal entity, with Jira at the core of its System of Work evolving into an intelligent partner for modern work. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager and coordinating across teams in Australia and North America. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, guiding strategy, and owning end-to-end product experiences from strategy to UI. Daily responsibilities include designing end-to-end AI-enabled Jira workflows, modernizing the design language across Jira, Rovo, and 1P/3P agentic workflows, and partnering to define a unified vision and measurable impact for customer value and business goals. Requirements include 9+ years of end-to-end product design, strong visual/UX craft and prototyping, experience shaping AI-native processes and agent integrations, leadership on ambiguous problems, storytelling, user research, and robust cross-functional leadership and stakeholder engagement.