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Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity. The Senior Engineer will design, build, and operate Atlassian's foundational data platform, shaping its architecture and operational excellence, and powering data across Jira, JSM, Confluence, Atlassian Analytics, the Teamwork Graph, and AI features like Rovo. They will design, build, and operate core components for streaming ingestion (Flink) and MPP query/serving (StarRocks), with strong ownership from technical design to launch. The role emphasizes operational excellence at scale—reliability, performance tuning, cost, data quality and observability—and involves tackling complex architecture, driving standards, leading code reviews and documentation, and handling high-risk bug fixes. They will partner with other engineering teams and mentor junior engineers, contributing to cross-project initiatives and shaping future standards and collaboration.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Engineer role is to design, build, and operate Atlassian's foundational data platform that powers analytics across Jira, JSM, and Confluence, as well as products like Atlassian Analytics, the Teamwork Graph (TWG), and AI-native capabilities like Rovo. Responsibilities include end-to-end ownership of core data platform components across streaming ingestion (Flink) and MPP query/serving (StarRocks), from technical design to launch. The role emphasizes operational excellence in production—reliability, performance tuning, cost management, and data quality/observability—while tackling complex architecture challenges and driving standards. You will also lead code reviews and documentation, address high-risk bugs, collaborate with multiple teams, set review standards, and mentor junior engineers.

Atlassian supports flexible work options—office, remote, or a mix—and hires people in any country where the company has a legal entity to help staff balance family, personal goals, and other priorities. The Senior Product Manager will lead critical areas of IT Operations and Incident Management, identifying customer and business problems that make incidents difficult to detect, resolve, and learn from, and translating those insights into a focused product strategy and end-to-end execution for IT and Developer teams across the incident management journey, using a thoughtful mix of AI-powered and non-AI capabilities. You’ll define and execute strategy for high-impact areas within Incident Management, identify pain points through research and data, prioritize opportunities that improve incident outcomes and create value, balance AI investments with reliable non-AI features, and partner with Engineering, Design, Data Science, Research, Marketing, Sales, Support, and Customer Success while engaging directly with customers to validate problems and measure impact. You’ll help JSM and Service Collection grow by increasing customer value, adoption, engagement, retention, and expansion within IT Operations, delivering better incident outcomes, enabling stronger cross-functional collaboration, and applying AI where it meaningfully reduces effort while preserving transparency, control, and trust to support smarter operations and business growth. Requirements include 10+ years of experience building and launching successful B2B or SaaS products, strong customer empathy for Enterprise and SMB, comfort in technically complex spaces, practical understanding of AI-enabled product development, strong analytical and stakeholder-management skills with the ability to influence across teams and at senior levels, excellent communication, a bias toward action, strong product judgment, and the ability to make progress through ambiguity; success means delivering a clear, evidence-based strategy for Incident Management, trusted experiences during critical incidents, improved outcomes for IT and Developer teams, and sustainable growth for Service Collection.

Atlassian offers flexible work locations and can hire in any country where it has a legal entity. They are seeking a Senior Product Manager to lead IT Operations and Incident Management, identifying customer and business problems that make incidents hard to detect, resolve, and learn from, and turning those insights into strategy and execution for IT and Developer users using a mix of AI-powered and non-AI capabilities. Responsibilities include defining and executing strategy for high-impact areas within Incident Management, identifying pain points across Enterprise and SMB, prioritizing opportunities that improve incident outcomes while delivering value, balancing AI with reliable non-AI capabilities, and partnering with cross-functional teams while engaging directly with customers to validate problems and measure impact, with a goal to grow JSM and Service Collection in IT Operations. The role aims to deliver better incident outcomes, stronger cross-functional collaboration during high-pressure events, smarter operations with transparent AI usage, and business growth for the platform. Requirements include 10+ years of B2B/SaaS product management experience, strong customer empathy for Enterprise and SMB, comfort with technically complex spaces, practical understanding of AI-enabled product development, analytical and outcome-focused mindset, excellent communication and stakeholder-management skills, bias toward action, and the ability to operate in ambiguity; success means building an evidence-based strategy, delivering trusted incident experiences, improving IT and Developer outcomes, and contributing to growth of Service Collection.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support work-life balance and priorities. The Senior Product Manager will lead critical areas of IT Operations and Incident Management, translating customer and business problems into focused product strategy and execution for both IT and Developer teams. Responsibilities include defining strategy for incident management, identifying pain points through research and data, prioritizing opportunities, balancing AI with non-AI capabilities, partnering with engineering, design, data science, and other teams, and engaging with Enterprise and SMB customers to validate problems and measure impact, with a goal of growing JSM and Service Collection. Expected impact includes better incident outcomes, stronger cross-functional collaboration during high-pressure events, smarter operations that use AI where meaningful while preserving transparency, and business growth for the platform. Requirements include 10+ years of B2B/SaaS product leadership, strong customer empathy for Enterprise and SMB, comfort with technical spaces, practical AI understanding, strong analytical and communication skills, bias toward action, and the ability to operate in ambiguity, with success measured by delivering trusted incident experiences and sustainable growth for Service Collection.

Atlassian lets employees work where they want—office, remote, or a mix—and hires in any country where it has a legal entity. The Future Team serves more than 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and is advancing humanity through software that unlocks every team’s potential. The team is value-driven, collaborative, and passionate about helping customers achieve transformational outcomes, celebrating wins, sharing knowledge, and supporting each other. In this role you will drive strategic engagement with enterprise and strategic customers, build executive relationships as a trusted advisor through onboarding, adoption, and value realization, guide customer journeys with predictive signals and frameworks to identify milestones and risks, and deliver value at scale via webinars and targeted outreach while maintaining product and industry expertise. You will mitigate churn risk, champion customer advocacy as the voice of the customer, and maintain operational excellence with accurate Gainsight records and adherence to engagement frameworks, contributing to continuous improvement.

At Atlassian, work options are flexible—office, home, or a combination—and the company hires people in any country where it has a legal entity. With over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian aims to advance humanity through software that unlocks the potential of every team, and the team itself is described as value-driven, collaborative, and supportive. In this role, you will own a portfolio of enterprise and strategic customers, build executive relationships, and serve as a trusted advisor through onboarding, adoption, and value realization. You will guide customer journeys using predictive signals and standardized frameworks to identify milestones, adoption opportunities, and risks, delivering value at scale through webinars and curated outreach while maintaining knowledge of products and industry trends and mitigating churn risk. You will champion the Voice of the Customer, share insights to influence Atlassian’s products and services, maintain accurate records in Gainsight, adhere to engagement frameworks, and contribute to continuous improvement initiatives.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The Principal Customer Success Manager in the Enterprise Segment helps customers realize value from Atlassian by driving adoption, solution expansion, and long-term growth using scalable methodologies across products. The role requires building relationships with C‑suite executives and global teams to guide complex customer journeys and deliver proactive, best-practice engagement for value realization. You will develop trusted advisor relationships, create Customer Success Plans with the account team, and navigate complex, multi-partner implementations to meet enterprise needs. Responsibilities include driving early and sustained adoption, executing adoption strategies for high-value accounts, mitigating churn, and acting as the Voice of the Customer to inform product and service improvements for strategic customers.

- Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally where they have a legal entity. - The Principal Customer Success Manager in Enterprise helps customers realize value from Atlassian by delivering scalable methodologies for product adoption, solution expansion, and long-term growth, while building executive relationships. - The role requires cross-product expertise to guide complex customers and engage across multiple partners and teams to maximize value realization. - The team serves over 300,000 customers (including NASA, IBM, HubSpot, Samsung, and Coca-Cola) and emphasizes delivering enterprise solutions through teamwork and value. - Key responsibilities include developing trusted advisor relationships with C-suite, creating Customer Success Plans, navigating complex implementations, driving adoption strategies, mitigating churn, and acting as the Voice of the Customer to feed feedback to Atlassian.

Zendesk is hiring an AI Success Strategist to lead the AI-powered Resolution Platform, owning the strategic AI roadmap, building executive partnerships, and ensuring AI initiatives start strong and scale predictably. Responsibilities include end-to-end delivery of customers’ AI roadmaps, translating product capabilities into business strategies, serving as design authority for deployments, coordinating with Professional Services, Product, and Engineering, and maintaining a mutual AI roadmap with measurable goals. The overarching objective is to accelerate customers’ time-to-value by driving adoption and operational excellence, deliver multi-year AI roadmaps that align Product, Services, Sales, and Partners, and produce quantifiable gains in retention and revenue. Qualifications include at least 5+ years in Customer Success/Experience, 1+ year AI experience, enterprise SaaS GTM or equivalent roles, experience using adoption analytics to forecast churn and expansion, a bachelor’s degree (advanced degrees or AI strategy/project management certs preferred), strong program management and cross-functional influence, and familiarity with responsible AI and compliance. Zendesk offers a hybrid work model, emphasizes diversity and inclusion, notes that AI screening may be used for applications per policy, and provides accommodations on request via email; Zendesk is an AA/EEO/Veterans/Disabled employer.

The Associate Success Manager, Onboarding Scaled — German Speaking at Zendesk guides new customers through early onboarding, focusing on German-speaking markets and delivering a structured, digitally supported experience to reach go-live and early adoption. They conduct kickoff calls and ongoing check-ins in German and English, drive engagement with resources like Journey Orchestrator and Success Plans, and identify blockers to guide customers to the next steps. The role includes success planning, risk/blocker documentation, go-live and adoption support across Zendesk products, and cross-functional collaboration with Sales, CS, Support, Services, Ops, and Product teams. Required qualifications include fluency in German and English, being based in or able to work from Dublin 2 days/week, 1–3+ years in a customer-facing SaaS role, strong communication and organizational skills, and comfort with digital engagement tools, with preferred experience in Zendesk or CX/SaaS, Gainsight, Salesforce, Gong, and high-volume environments. The business justification emphasizes scaling onboarding to boost activation, reduce no-response and stalled onboarding risk, improve time to first meeting, and increase onboarding take rate in German-speaking markets, while Zendesk commits to equal opportunity and accommodations, including AI-based screening as appropriate.

Tempo is a leading developer of Atlassian Marketplace apps serving 30,000+ customers including a third of the Fortune 500, with a mission to help teams collaborate and focus on high-priority work, and its product suite has grown from a time-tracking tool to a modular, award-winning SPM platform. The role is Account Director for New & Expansion in Tempo’s Enterprise segment in the EMEA region, responsible for end-to-end enterprise sales, pipeline development, negotiations, and account care, including collaboration with partners and pre-sales to close large deals. You’ll identify high-potential accounts, educate decision-makers on Tempo’s portfolio, manage complex sales cycles, forecast in Salesforce, and help shape new pricing/engagement models for large deployments, traveling as needed. Requirements include 6+ years in enterprise B2B SaaS sales to Fortune 500/large logos with quota attainment, the ability to prospect and build executive relationships, fluency in English (French preferred), and familiarity with Atlassian Marketplace or related ecosystems. Tempo offers a remote-first culture with unlimited vacation, comprehensive benefits, learning opportunities, and inclusive equal-opportunity hiring; resume in English is requested, and the company invites candidates to apply.

Tempo is a leading provider of top-selling Atlassian Marketplace apps, serving over 30,000 customers including a third of the Fortune 500, with a product evolution from time-tracking (2009) to an award-winning modular SPM suite. The company seeks to unlock harmony within organizations and invites talent to join in continuously innovating and expanding across ecosystems. The role of Account Director (New & Expansion) in the Enterprise segment covers the EMEA region, owning end-to-end sales with prospects and partners, from qualification to close and ongoing account care. Responsibilities include articulating Tempo's value to large enterprises, developing pipeline with key partners, guiding champions, collaborating with Pre-Sales and Sales Engineers, negotiating large agreements, and adapting pricing/models for enterprise deployments. Requirements include 6+ years in enterprise B2B SaaS sales to Fortune 500/large logos with quota attainment and complex sales cycles; French preferred; strong relationship-building; familiarity with Atlassian Marketplace; and benefits such as remote-first work, unlimited vacation, comprehensive benefits, training reimbursement, and travel opportunities; please submit an English resume only.

Tempo helps teams build better together by offering top-selling Atlassian Marketplace apps and serving more than 30,000 customers, including a third of the Fortune 500, with a product suite that evolved from time-tracking to an award-winning SPM platform. The role is an Enterprise Account Director for New & Expansion in the EMEA region, responsible for driving sales of Tempo’s products, managing the full sales process, and representing Tempo to large organizations. Responsibilities include positioning Tempo’s applications to enterprises, partnering with top solutions partners, growing high-potential accounts, guiding decision-makers, building pipeline in Salesforce, negotiating large agreements, traveling as needed, and collaborating with Pre-Sales and Sales Engineers. Qualifications include 6+ years in enterprise B2B SaaS selling to Fortune 500/large logos, a track record of quota attainment, experience closing complex deals with senior management, data-driven problem solving, French preferred, strong relationship-building with executive sponsors, and familiarity with Atlassian Marketplace and related ecosystems. Tempo offers a remote-first environment, unlimited vacation in most locations, health/dental/vision benefits, training and travel reimbursement, and a committed, inclusive equal-opportunity culture.

Tempo builds top-selling Atlassian Marketplace apps, supporting more than 30,000 customers—including a third of the Fortune 500—and has grown from a time-tracking tool into an award-winning, modular SPM suite. The role is Account Director for New & Expansion in Tempo's Enterprise segment, focusing on the EMEA region and driving sales of Tempo’s products to large organizations. Responsibilities include positioning Tempo’s applications, partnering with top solution partners, managing assigned accounts, educating decision makers, maintaining pipeline and forecasts in Salesforce, traveling as needed, shaping pricing models for large deployments, negotiating agreements, and collaborating with Pre-Sales and Sales Engineers. Candidates should have 6+ years in enterprise B2B SaaS selling to Fortune 500/large logos, a track record of quota attainment and enterprise new logos, data-driven problem-solving, strong executive relationship skills, and ideally French; familiarity with Atlassian Marketplace and other ecosystems is a plus. Tempo emphasizes impact, innovation, collaboration and growth, offering a remote-first environment with unlimited vacation, comprehensive benefits, training and travel opportunities, and is an equal opportunity employer.

The role is Principal Machine Learning Engineer responsible for driving the development and implementation of cutting-edge ML algorithms, training sophisticated models, and embedding AI capabilities into Atlassian products in collaboration with product, engineering, and analytics teams. It requires designing system and model architectures, conducting rigorous experimentation and evaluations, and guiding junior ML engineers to ensure AI's transformative potential is realized across offerings. Technical leadership involves driving complex decisions, tackling the largest problems, setting direction for systems and capabilities, and planning large projects across quarters. Model development responsibilities include designing and deploying production-grade ML models (ranking, retrieval, LLM-based systems), conducting data-backed experimentation, robust feature engineering, and end-to-end deployment with continuous evaluation and monitoring. Cross-functional collaboration and mentorship entail working with product managers, designers, and engineers to integrate AI across products; guiding company-wide programs; communicating technical concepts clearly; mentoring and scaling programs; and making decisions by balancing speed, risk, and impact to fit into larger products and platforms.

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 options (office, home, or hybrid) and can hire in any country where it has a legal entity; this role is remote but requires the candidate to be based in the UK to help teams collaborate effectively. - Atlassian is on a mission to reinvent B2B selling, with a fast-growing, multi-billion business focused on delighting customers and removing friction to drive sales and adoption. - The role is highly visible and will be a strategic partner to Senior Sales Leadership, supporting EMEA Account Executives and partnering with leaders and Revenue Operations to drive operational excellence and accelerate revenue growth, bridging from a business intelligence analyst up to the C-suite. - Responsibilities include Field Partnership & Insights, Forecasting & Pipeline Management, Coverage, Target, and Capacity Planning, Sales Process Design & Optimization, and Sales Excellence Evangelism, with opportunities to implement AI and automation and to support QBRs, compensation tracking, and cadence for the sales organization. - The ideal candidate thrives in a high-growth, collaborative environment, blends operational rigor with enterprise SaaS go-to-market motions, and can drive data-driven decision-making across the organization.

At Atlassian, work locations are flexible (office, home, or hybrid), and this remote role is based in the UK to help teams collaborate effectively. The company is on a mission to reinvent B2B selling and has built a fast-growing, multi-billion business by focusing on products that delight customers and reduce friction to drive sales and adoption. The role is a strategic partner to Senior Sales Leadership, supporting the EMEA Account Executive teams to deliver in-period performance and lay the operational foundation for scalable growth, blending operational rigor with a deep understanding of enterprise SaaS go-to-market motions. Key responsibilities include field partnership and insights, forecasting and pipeline management, territory design and capacity planning, sales process design and optimization, and driving adoption of franchised sales practices with opportunities to leverage AI and automation. This role requires close collaboration with Central Operations, Analytics, Systems, and Sales Enablement to standardize and optimize processes, support QBRs and compensation tracking, and manage change as new tools and workflows are introduced.

At Zendesk, the company is reinventing Customer Experience and Employee Services with a unified Resolution Platform powered by AI and cloud technologies, and they’re hiring a Sales Engineer to design and demonstrate AI-driven solutions that deliver measurable value for top brands. You will lead technical and business discovery, conduct AI readiness assessments, design tailored demos and proofs of value, and own the end-to-end technical engagement from qualification to pilot, ensuring alignment with customer goals and compliance. You will architect AI-driven CX and ES solutions by translating AI capabilities into business narratives, integrate and scale using Zendesk APIs, middleware, telephony, and cloud platforms (AWS, Azure, GCP), collaborate across teams to influence roadmaps, and measure ROI with analytics to drive AI adoption. Qualifications include 5+ years in presales or solutions consulting in SaaS/CX, strong knowledge of web technologies and SaaS architectures, experience designing pilots/POCs, deep AI knowledge (LLMs, NLP), domain expertise in CCaaS or related areas, excellent storytelling and communication skills, a bachelor’s degree (graduate degree a plus), and Dutch plus English fluency with willingness to travel. Zendesk also highlights a hybrid work model, commitment to fairness and diversity, AI screening for applications, and a strong emphasis on equal opportunity and accommodations for applicants with disabilities.

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.

Tempo serves 30,000+ customers, including a third of Fortune 500, offering an integrated suite for time management, resource planning, budgeting, roadmapping, program management, and reporting, and is the #1 time management add-on for Jira in the Atlassian ecosystem since 2007. The company aims to help teams work smarter and strives to be a tech company with a heart, continuing to innovate award-winning products and solutions. The Associate Account Executive will own the full SMB sales cycle—from prospecting and demos to closing deals and building long-term client relationships—collaborating with internal teams to drive onboarding and customer success. Requirements include 2+ years in sales/BD/AM with a proven quota track record, strong communication and negotiation skills, CRM experience (Salesforce/HubSpot), and a preferred Bachelor’s in Business/Marketing or related field. Perks include remote-first environment, unlimited vacation, comprehensive benefits, training and travel reimbursements, diverse teams, professional growth opportunities, and an equal opportunity employer, with resumes submitted in English.

Tempo serves over 30,000 customers, including about a third of Fortune 500 companies, and offers integrated solutions for time management, resource planning, budget management, roadmapping, program management, and reporting to help modern teams deliver value. Since 2007, Tempo began as a time-tracking tool and has grown to be the #1 time management add-on for Jira, expanding through development and acquisitions to become a trusted name in the Atlassian ecosystem with a mission to help the world work smarter. The company is hiring an Associate Account Executive to own the full SMB sales cycle—from prospecting and qualifying to closing deals and building lasting client relationships—and to collaborate across Tempo to deliver tailored solutions and drive revenue growth. Responsibilities include identifying and engaging SMB prospects, delivering product demos and consultative presentations, managing the sales pipeline and CRM, negotiating contracts, building retention and upsell opportunities, and ensuring smooth onboarding and customer success while staying informed on industry trends. Requirements include 2+ years in sales or related roles with a proven quota track record, strong communication and negotiation skills, experience with CRM tools (e.g., Salesforce, HubSpot), and a preferred bachelor’s degree; the role offers remote-first work, unlimited vacation, comprehensive benefits, professional development, an inclusive culture, and an equal opportunity employer with resumes requested in English.

Tempo is a global software company with 30,000+ customers, including a third of Fortune 500, offering integrated solutions for time management, resource planning, budget management, roadmapping, program management, and reporting, built to help modern teams translate vision into value; it began in 2007 as a time-tracking tool and has become the #1 time management add-on for Jira in the Atlassian ecosystem, with a mission to help the world work smarter. The role is Associate Account Executive, owning the full SMB sales cycle—from prospecting to closing—and working with internal teams to tailor solutions and drive revenue growth. Key responsibilities include identifying and engaging SMB prospects, delivering product demonstrations and consultative presentations, managing the sales pipeline and CRM, negotiating contracts and terms, building long-term client relationships for retention and upsell, and ensuring smooth onboarding and customer success while staying current on industry trends. Requirements include 2+ years in sales or related fields with a proven quota track record, strong communication and negotiation skills, CRM experience (Salesforce or HubSpot), comfort in a fast-paced environment, and a preferred bachelor’s degree in Business or Marketing. Tempo offers a remote-first environment with benefits such as unlimited vacation in many locations, comprehensive health/dental/vision and savings plans, training and travel reimbursements, diverse teams, professional development opportunities, and an inclusive culture; resumes should be submitted in English.

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, remote, or hybrid) and hires in any country where it has a legal entity. The company serves over 300,000 customers worldwide, including NASA and Coca‑Cola, and aims to unleash the potential of every team through software while driving ongoing revenue growth, guided by a “play as a team” culture where employees work with Atlassian, not for it. The sales role targets high‑value accounts, building relationships with key decision‑makers, and coordinating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions. Responsibilities include developing named account or territory plans, acting as the main contact or escalation point, leading negotiations, conducting market research, forecasting sales, traveling as needed, and mentoring junior team members. Atlassian seeks customer‑focused, creative professionals who can implement strategic sales plans, understand customer objectives, and advance an AI‑driven cloud migration and growth strategy in line with Atlassian values.

- 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 supports flexible work arrangements—office, remote, or a mix—and hires people in any country where they have a legal entity. The Advisory Services Delivery team is seeking a Senior Solution Consultant (Strategy Collection focus) to provide expert Atlassian guidance to large strategic and enterprise clients as an individual contributor. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, traveling up to 30% for events, and collaborating with cross-functional teams. Required background includes 6-8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience mapping operations to product capabilities, and familiarity with strategy/planning tools and AI integrations; fluency in English is required, with a second language such as Spanish, French, or Portuguese being a plus. Perks include substantial time off and an education budget, and Atlassian emphasizes an inclusive culture with non-discrimination and provides resources like a Candidate Resource Hub.

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 offers flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity. - The Advisory Services Delivery team is globally distributed, and this Senior Solution Consultant (Strategy Collection focus) will be an individual contributor delivering strategic, technical guidance to Atlassian’s largest enterprise customers to maximize value from their Atlassian investments. - Responsibilities include collaborating to define strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, building deep solution expertise, creating prescriptive guidance, and traveling up to 30% for internal and customer events. - The role requires 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, the ability to map customer operations to product capabilities, and experience with enterprise strategy and planning tools (Strategy Collection: Align, Focus, Talent, Jira Plans; Rally, RTC, ADO, VersionOne) and AI integrations; fluent English, with a second language a plus. - Atlassian emphasizes inclusive culture and benefits (ample time off, an education budget, volunteer days) and maintains confidentiality per EEO guidelines, with a 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 supports flexible work locations and hires globally where it has a legal entity, with a focus on AI-powered teamwork and Rovo as the intelligent teammate. You’ll join the Rovo Chat Quality team and help turn “making Rovo better” into measurable, shippable improvements by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical challenges, drive advances in models, agents, and evaluation, and translate them into measurable customer value for millions of users. You’ll architect and build production ML and evaluation systems at scale, advance agentic capabilities such as reasoning, planning, tool use, memory, and long-horizon execution, and close the loop between evaluation and product impact while balancing quality, latency, safety, and cost. The role requires a proven track record shipping large-scale ML/AI systems, deep experience with LLM-powered products and agentic systems, strong production engineering, technical leadership, and excellent communication and mentorship skills.

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.

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 offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control over family and personal goals. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines and monitoring data drift among Salesforce, Oracle Fusion, Gainsight, and Databricks. The role includes evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI context layer to enable safe interaction by AI agents. You’ll lead the development of data products, canonical datasets, and ETL/ELT pipelines (data lake and warehouse concepts) to ensure data quality, consistency, and accessibility for analytics across the company, and you’ll partner with finance and cross-functional teams to flag inconsistencies that affect financial close. Additional duties include executing sizing analyses for transformational data infrastructure changes, owning SME-level knowledge of core system data transformations, seeking efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity. They are seeking a versatile, senior sales data analyst or analytics engineer to align data between enterprise go-to-market and finance. The role involves designing robust data pipelines and infrastructure to monitor data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks, plus building a context layer to enable safe AI interactions. Responsibilities include developing canonical datasets via high-volume ETL/ELT pipelines, ensuring data quality and accessibility for analytics, and partnering with finance and other teams to flag data inconsistencies and support close of books. Additional duties cover owning core data transformations from requirements through UAT to deployment, driving efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options—office, home, or hybrid—and the role is fully remote but UK-based, with virtual interviews and onboarding as part of being a distributed-first company. As Principal Value Management Advisor in Atlassian’s Value Management Office for the EMEA region, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships. You will set the benchmark for value management craft, drive innovation at scale, and act as a thought leader and trusted advisor to senior executives within Atlassian and across customer accounts. Your work will involve building influential relationships with key decision-makers, analyzing data to create business cases and metrics, and uncovering value drivers through advanced discovery to develop holistic solutions. You’ll deliver executive presentations, contribute to new VMO solutions, align cross-team efforts, and develop thought leadership to support value-based selling and customer success.

Atlassian supports flexible work arrangements—office, home, or hybrid—with this role fully remote but UK-based, and interviews and onboarding conducted virtually as part of its distributed-first approach. As a Principal Value Management Advisor in Atlassian’s Value Management Office, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships in the EMEA region. You will set the benchmark for value management craft, drive innovation at scale, and serve as a thought leader and trusted advisor to senior executives both within Atlassian and across our customer base. Your work includes building influential, personalized relationships with key decision-makers, analyzing customer data to identify opportunities and develop metrics, and using advanced discovery to uncover value drivers for holistic solutions. You will create executive-level presentations, contribute to new VMO solutions, align teams, and share thought leadership to support value-based selling across the organization.

At Atlassian, employees can work flexibly and the company hires globally where it has a legal entity; the role is Manager of the EMEA Solutions team for DX, leading a team of Solutions Engineers and Solutions Architects to grow the DX product across EMEA. You will scale the technical strategy across pre- and post-sales, coaching SEs and SAs through discovery, POCs, and implementations, and act as a key bridge between Sales, Customer Success, Product, and Engineering leadership. You will partner with EMEA Sales and Customer Success leaders to ensure the platform meets the needs of rapidly growing and agile engineering organizations, while recruiting, onboarding, and mentoring a world-class EMEA team and fostering a culture of technical excellence and continuous learning. Your responsibilities include acting as a player-coach on high-stakes opportunities, overseeing POCs and deal strategy, and guiding pilots and go-lives with clean handoffs to post-sales, while noting that you do not own the CS motion. You will drive process optimization, standardize POC playbooks and implementation handoffs, manage resource allocation across the EMEA pipeline, advocate for the EMEA customer in leadership discussions and with Product/Engineering to prioritize the roadmap, and define KPIs aligned with regional revenue targets and successful technical delivery.

At Atlassian, employees can choose flexible work arrangements and the company hires globally wherever it has a legal entity. The Manager of the EMEA Solutions team for DX will lead a high-performing group of Solutions Engineers and Solutions Architects to drive DX growth across the EMEA region, partnering with EMEA Sales and Customer Success as well as Product and Engineering leadership. The role involves recruiting and mentoring, scaling the technical strategy across pre-sales and post-sales, and coaching teams through discovery, POCs, and implementations to ensure value delivery and clean handoffs. It also emphasizes pre-sales strategy and deal support, implementation strategy, process standardization (POC demos, handbooks, handoffs), and balancing resource allocation while representing the EMEA customer in cross-functional discussions to shape the roadmap. Success is measured by KPIs aligned with regional revenue targets and the effectiveness of technical delivery.

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 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.

This remote role at DX, a fast-growing SaaS company headquartered in Salt Lake City, centers on using millions of data points to power insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero. DX has scaled profitably—tripling its annual recurring revenue in recent years—and has recently closed an acquisition by Atlassian to accelerate growth, R&D, and impact for customers. The company values individual mastery and rewards those who become the best at their craft, emphasizing doing work at the highest level possible even when outcomes are influenced by factors outside one’s control. The role entails coaching a team of Strategic Account Executives to meet targets, acting as a player-coach in high-stakes deals, institutionalizing pipeline discipline and forecasting, analyzing performance data to remove bottlenecks, driving GTM improvements from customer feedback, fostering continuous learning, and recruiting top talent. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor with empathy, thrive in ambiguity, balance data-informed decisions with the human element, and exhibit high emotional intelligence to navigate complex internal stakeholders.

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, distributed work with virtual interviews and hires in any country where the company has a legal entity, with more details at go.atlassian.com/distributed. The Intern Program combines hands-on training, mentorship, and opportunities to work with AI that are shaping the future of product management, preparing students for a successful and impactful career at Atlassian. The role is located in the Pacific Time Zone and requires availability to work there; it is not eligible for F1 or J1 visa holders and does not offer work sponsorship. From day one, interns will work with product, design, and engineering teams, interact with customers and partners, turn insights into actionable plans, research competitors and AI tools, and build prototypes to explore solutions. Applicants must be enrolled full-time in a technical degree program with expected graduation by June 2028, returning to the program after the internship, and able to commit to a 40-hour-per-week schedule.

- 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 allows flexible work locations—office, home, or a hybrid model—and hires globally with virtual interviews and onboarding as part of its distributed-first approach. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies backed by data-driven insights to respond to market dynamics, drive sustainable growth, and increase market share while improving customer experiences. Atlassian is seeking a Principal Strategist to develop the Public Sector GTM strategy, employing qualitative and quantitative methods to identify opportunities and design initiatives that drive P&L growth from Public Sector customers. The role is an individual contributor who will partner with Public Sector sales and product executives and other stakeholders to craft actionable GTM plans, conduct due diligence, and analyze information to meet revenue targets. You will lead multi-layered stakeholder management, influence across all levels from front lines to C-suite, and build trust to marshal cross-functional resources and deliver scalable value across Atlassian and the System of Work.

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.

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.

Atlassians can work anywhere—office, home, or a mix—and the company hires in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you will own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to code and operations, and you’ll influence across teams and geographies while coaching and raising engineering effectiveness. Success will be measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—rather than activity. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads; leading architecture and implementation of 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 for a tier-0 platform; improving developer experience with self-service APIs and automation; and mentoring engineers to grow an inclusive, high-performing team.

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 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 a mix—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, working on AI experiences across Atlassian, including Rovo, with the team primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across the Jira, Confluence, and Loom apps on applied AI, and modeling AI-driven design practices to empower the design organization. You will partner with leadership and cross-functional teams to create a unified view of AI capabilities across Atlassian, and collaborate with engineers, product managers, content designers, researchers, marketing experts, and analysts to advocate for the user experience and deliver high-quality work. Requirements include 7+ years of product design experience in complex or enterprise software, experience with applied AI in product experiences such as Search, AI Chat, and Agents, the ability to balance customer needs with business goals, market viability, and technical feasibility, and strong systems thinking to integrate multiple teams, solicit feedback, and 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 lets employees choose where to work—from office, from home, or a hybrid setup—and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Digital & Agentic Success team aims to scale customer success through data, automation, and AI-driven orchestration by building the systems, intelligence, and operating models that turn complex signals into proactive journeys. The Agentic Success Portfolio Lead will bridge data engineering, data science, AI workflows, and customer journey orchestration to support customers at scale with digital, agentic, and human interventions. Responsibilities include building the Digital Success OS, turning product telemetry and other signals into actionable plays and handoffs, closing ownership gaps, and maintaining architecture principles and change-control processes to protect delivery momentum. You will own data foundations and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation, collaborating with teams like Data Engineering, RevOps, CS AI, and Gainsight.

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.

The Senior Demo Platform Architect will own the development, maintenance, and continuous improvement of shared demo environments and reusable customer service use cases, leveraging Zendesk, Amazon Connect, and AWS. Daily responsibilities include optimizing demo environments for reliability, scalability, and security; designing and building new demo use cases that showcase contact center, CX, AI, automation, analytics, and integrations; supporting opportunity-specific configurations for presales; tracking product releases and incorporating new capabilities; driving automation, standardization, and governance. The role also requires producing technical documentation and collateral, engaging with vendors and internal stakeholders, participating in customer demonstrations and PoCs as needed, and ensuring governance, data management, cost control, and platform reliability. Qualifications include 8–10 years in solution/platform engineering or related fields, at least 5 years in contact center technologies (Amazon Connect and CRM/CX such as Zendesk), strong experience with AWS services (Lambda, Bedrock/Lex, IAM, DynamoDB, S3, API Gateway, CloudWatch), proficiency in Python and/or NodeJS, and demonstrated demo development; professional certifications like Zendesk and AWS Solutions Architect are preferred. Please note that Zendesk can hire only candidates physically located in Karnataka or Maharashtra; the company offers hybrid work, is an equal opportunity employer committed to diversity and inclusion, and may use AI or automated decision systems to screen applications.

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 is Zendesk’s AI Success Strategist, a leader of the AI-powered Resolution Platform who owns the strategic AI roadmap and builds executive partnerships from day one to ensure AI initiatives start strong and scale predictably. You will own end-to-end delivery of customers’ AI roadmaps, serve as the design authority for deployments, co-create a long-term AI vision with executives, and align Product, Professional Services, Sales, Success, and Partners to drive adoption and expansion. The overarching objective is to accelerate time-to-value by driving adoption and operational excellence of Zendesk AI solutions, deliver multi-year AI roadmaps, and translate AI adoption into measurable commercial outcomes such as renewals, growth, and retention improvements. Qualifications include a minimum of 10+ years in Customer Success/Experience with 2+ years of AI-related experience, conversational English and Spanish, prior go-to-customer/GTM roles in enterprise technology/SaaS, experience using adoption and health analytics to forecast churn and expansion, a bachelor’s degree (advanced degrees or AI strategy/project management certifications preferred), and strong cross-functional influence; AI domain knowledge is a plus. Zendesk emphasizes diversity and inclusion, offers a hybrid work model, may use AI screening for applicants, is an equal opportunity employer, and provides accommodations for applicants with disabilities; interested applicants can request accommodations via the provided email.

SmartBear delivers application integrity for modern tech stacks with continuous, measurable assurance that software works as intended, offering deep test automation, API lifecycle management, and observability under governance that operates at AI speed and scale. With integrations across the SDLC, SmartBear sets a new quality standard for application delivery teams and is trusted by 32,000 organizations—75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft—while its open source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars. Its best-loved brands—Swagger, TestComplete, Reflect, QMetry, Zephyr, and more—meet customers where they are to improve the technology-driven world, with information available at www.smartbear.com or on LinkedIn, X, and Reddit. SmartBear is hiring an Account Executive to drive new business, develop net-new relationships, expand within existing clients, and participate in ongoing professional development, offering a competitive package with uncapped earnings, accelerators, and sales incentives in a collaborative environment led by experienced executives. Candidates should have 3+ years in software sales, a track record of meeting KPIs and quotas, strong communication skills, and a self-starter mindset; familiarity with LinkedIn Sales Navigator, ZoomInfo, Salesforce, and Outreach is a plus, and SmartBear emphasizes growth, inclusivity, equal opportunity, and a global footprint with offices worldwide, guided by values of being smart, open, driven, accountable, and curious.

Atlassians can choose where they work — in an office, from home, or a combination. The company can hire people in any country where it has a legal entity, enabling global opportunities. The role advertised is Senior Front End Software Engineer, reporting to an Engineering Manager. The position involves collaborating with design and product management to influence the product direction, writing code, and delivering capabilities customers love to help make Atlassian the best project management tool for business teams. Key responsibilities include delivering projects autonomously from design to launch, building efficient, scalable, and high-quality client code, promoting cross-functional collaboration, partnering with design and product to create delightful experiences, and contributing to code reviews, documentation, and complex bug fixes.

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 offers flexible work options and global hiring across countries where they have a legal entity, with Jira at the heart of their System of Work in the Teamwork ecosystem. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager, and collaborating with teams in Australia and North America. In this role you will design end-to-end product experiences for over 10 million users, mentor the design team, and ensure Jira feels cohesive as if designed by one hand. Day-to-day work includes designing end-to-end experiences that integrate AI into Jira workflows, modernizing Jira’s design language, and partnering with leadership to define a unified vision for modern work management. The ideal candidate has 9+ years of end-to-end product design experience, expertise in AI-native processes and complex enterprise software, strong storytelling and stakeholder engagement, and the ability to drive programs with measurable outcomes across cross-functional teams.

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.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity, giving teams more control over personal priorities. The role is ML System Engineer on the AI & ML Platform’s Inference team. You will design and optimize large-scale model serving systems end-to-end, spanning 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 for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency serving systems that handle billions of requests while benchmarking, fine-tuning, and accelerating inference engines. You will create robust CI/CD pipelines for seamless model deployment and inference engine updates, and partner with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires from any country where it has a legal entity. As an ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end. You will own distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and deep low-level optimizations (GPU kernels, quantization, speculative decoding). The role requires architecting scalable distributed infrastructure for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency systems that serve billions of requests. You will benchmark, fine-tune, and accelerate inference engines, create robust CI/CD for deployment and updates, and collaborate with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian supports flexible work locations, letting employees choose between office, home, or a hybrid arrangement to better support family and personal goals. They can hire people in any country where they have a legal entity. The role is ML System Engineer on the AI & ML Platform's Inference team, responsible for designing and optimizing large-scale model serving systems end-to-end. Responsibilities include architecting scalable distributed infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimizing latency and throughput under real production workloads, building reliable, high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, and creating robust CI/CD for model deployment and inference engine updates. The role also involves partnering with senior ML engineers to fine-tune and deploy open-source LLMs.

At Atlassian, people can choose where to work—office, home, or a hybrid—and the company hires globally where it has a legal entity. Jira is the core of Atlassian’s System of Work, and the Jira Design team is seeking a Lead Product Designer to evolve Jira across the Teamwork Collection, reporting to a Senior Design Manager. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, leading strategic initiatives, and owning end-to-end product experiences used by more than 10 million users. Day-to-day work includes designing end-to-end Jira experiences that integrate AI, modernizing Jira’s design language, and partnering with leadership and cross-functional teams to define a unified vision with measurable outcomes. The ideal candidate has 7+ years of product design experience for complex software, strong craft and prototyping skills, experience with AI-native workflows, end-to-end UX, customer research, storytelling, collaboration, metrics, stakeholder management, and process improvement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Jira sits at the heart of Atlassian’s System of Work, evolving from a work-management tool into an intelligent partner powered by Teamwork Graph, Rovo, and agent tooling. The Jira Design team is looking for a Lead Product Designer who will report to a Senior Design Manager and lead strategic work across Jira with a multinational team in Australia and North America. In this role you’ll design end-to-end experiences, modernize Jira’s design language, drive AI-enabled workflows, define success metrics, and collaborate with engineers, product managers, researchers, and other teams to deliver cohesive product experiences. Candidates should have 7+ years of product design experience, strong craft, AI-native design experience, end-to-end UX skills, customer research, storytelling, stakeholder management, and the ability to drive impact across multiple teams and programs.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. - They are seeking a Lead Product Designer for the Growth Platform team to shape Atlassian’s front door, evolving the website into end-to-end journeys grounded in customer intent and JTBD with AI-first experiences. - The role entails leading design across core areas such as modernization and craft, user engagement and activation, journey-led architecture, AI-powered experiences, and cross-functional mentorship, partnering with Design, Product, Engineering, Content, and Analytics. - The candidate should have 10+ years of product design experience, exceptional craft in visual and interaction design, AI-first prototyping skills, journey-driven systems thinking, strategic vision, and data-informed decision-making with collaborative leadership. - Desirable background includes designing high-traffic marketing websites or large-scale web experiences, growth and experimentation, and influence across organizational boundaries.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer to join the Growth Platform team to evolve Atlassian’s website into cohesive, AI-first end-to-end customer journeys. - The role involves setting strategy and leading design across modernization, user engagement, journey-led architecture, AI-powered experiences, and cross-functional collaboration to boost engagement and long-term value. - Candidates should have 10+ years of product design experience, exceptional craft, AI-first prototyping, journey-driven systems thinking, strategic vision, data-informed decision-making, and collaborative leadership. - Experience with high-traffic marketing sites, growth/experimentation, and operating across organizational boundaries is preferred.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, serving more than 300,000 customers worldwide including NASA, IBM, HubSpot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The goal is to unleash the potential of every team through powerful software, delivering exceptional customer impact and ongoing revenue growth, anchored in the unique value of “play as a team” where employees support each other and share knowledge. There is strong earning potential for the sales team, supported by a vast enterprise market and customer preference for Atlassian products, with employees working with Atlassian, not for Atlassian. As a salesperson, you will build and nurture relationships with key stakeholders, negotiate contracts, and collaborate with internal teams—Channel Partners, Product Specialists, Account Managers, and Solution Engineers—to ensure customer satisfaction and success, especially with Fortune 500 companies. Responsibilities include developing and executing named account or territory plans, strategic sales, lead qualification, executive-level relationship building, contract negotiations, accurate forecasting, cross-functional collaboration, staying updated on industry trends, and traveling as needed, serving as the main Atlassian contact for designated accounts and driving complex sales cycles.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where it has a legal entity, with a mission to unleash the potential of every team through software and to deliver exceptional customer impact and ongoing revenue growth, serving over 300,000 customers worldwide including NASA, IBM, HubSpot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The culture centers on the value of “play as a team,” emphasizing mutual support, celebrating wins, and sharing knowledge, with employees working with Atlassian, not for Atlassian, and strong earning potential for the sales team due to a vast enterprise market and customer preference for Atlassian products. As a team member, you will build and nurture relationships with key stakeholders, negotiate complex contracts, and collaborate with internal teams to ensure customer satisfaction. The role requires a customer-focused, creative, hunter mindset, and excitement to identify business needs and ideate solutions for Fortune 500 companies. Responsibilities include developing and implementing named account or territory plans, executing strategic sales plans, identifying and qualifying leads, building C-level relationships, collaborating with channel, marketing, product, and customer success, negotiating contracts and pricing, providing accurate forecasting and account planning, staying aware of industry trends, traveling as necessary, and serving as the main Atlassian contact to run strategy plays and manage long-term, cross-functional sales cycles.

At Atlassian, you can work in an office, from home, or in a hybrid setup, but this role requires you to be located in France to support team collaboration. Atlassian serves over 300,000 customers worldwide and aims to unleash every team's potential through software, delivering significant customer impact and ongoing revenue growth, underlined by the value of 'play as a team'. The company is leading the responsible integration of AI into its cloud products as it migrates customers to the cloud, building trust through cost transparency, faster collaboration, and accelerated business outcomes. The role involves constructing and executing a powerful sales strategy for a high-value, strategically important customer base, including managing a defined set of accounts and understanding their long-term goals to foster mutual growth. Responsibilities include developing named account and territory plans, building relationships with key decision-makers and executives, aligning solutions with customer objectives, coordinating with internal teams and partners, leading negotiations, conducting market research, staying informed on industry trends, and providing sales performance updates to senior management while traveling and participating in industry events.

Atlassian offers flexible work locations (office, home, or hybrid), but the role requires being located in France. Atlassian serves over 300,000 customers worldwide and aims to unleash the potential of every team through software, driving customer impact and revenue growth. The company emphasizes its value of “play as a team,” supporting each other, celebrating wins, and sharing knowledge, with employees working with Atlassian rather than for it. They’re leading responsible AI integration into cloud products to migrate customers to the cloud while building trust through cost transparency, faster collaboration, and better business outcomes. The role involves shaping and executing a sales strategy for key high-value customers, including developing named account and territory plans, understanding client goals, coordinating with internal teams, leading negotiations, staying informed on market trends, and providing performance updates with travel and industry events.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement to support family, personal goals, and other priorities. Atlassian can hire in any country where it has a legal entity. They are seeking a Product Lead to own the strategy, delivery, and operating model for the Customer Managed Keys (CMK) and encryption platform portfolio, spanning enterprise trust, platform capability, regulatory readiness, and customer value. The role will define how encryption capabilities scale across Atlassian Cloud, clarify product and platform scope, and drive outcomes across CMK, the encryption platform, bring-your-own-key patterns, and related services, with responsibility for strategy, roadmap, and cross-functional execution. The position requires partnering with engineering, security, go-to-market, legal, compliance, and customer-facing teams to align roadmaps with enterprise demand, architecture constraints, and commercial priorities, while ensuring security, resilience, usability, and long-term portfolio coherence.

Atlassian offers flexible work options and hires globally wherever it has a legal entity. They are seeking a Product Lead to own the strategy, delivery, and operating model for the Customer Managed Keys (CMK) and encryption platform portfolio, a high-impact area at the intersection of enterprise trust, platform capability, regulatory readiness, and customer value. The role will define how encryption capabilities scale across Atlassian Cloud, clarify product and platform scope, and drive outcomes across CMK, the encryption platform, bring-your-own-key patterns, and adjacent encryption services. The position requires owning the product vision and roadmap, aligning scope with architecture and commercial priorities, and partnering with engineering, security, legal, compliance, GTM, and customer teams to ensure durability, usability, and economic soundness. The team scope includes CMK strategy/roadmap/lifecycle, encryption platform capabilities used across Atlassian Cloud, BYOK/external key management patterns, encryption standards and architecture, and enterprise trust requirements, with an emphasis on balancing customer demand, risk reduction, platform leverage, and revenue influence while maintaining long-term portfolio coherence.

The role is Principal Software Engineer on the Data Platform Team at Atlassian, focusing on building a world-class data platform to empower business decisions. You will collaborate with analytics teams, data engineers, and data scientists, identifying gaps and feeding findings back to build capabilities. Atlassian offers flexible work location and hires globally where legal entities exist, building analytical data platforms for Engineering and Data Engineering to derive insights. Key responsibilities include owning long-term architecture and direction for core platform capabilities, ensuring reliability, cost efficiency, and adoption, plus building foundational components across ingestion, transformation, orchestration, compute, and consumption. You will establish cross-layer contracts, tenant isolation, and SLOs for multi-tenant scalability, lead cross-team initiatives and architecture reviews, mentor senior engineers, and stay hands-on with the toughest problems.

Atlassian is hiring a Principal Software Engineer for the Data Platform Team to build a world-class data platform that powers crucial business decisions, collaborating with analytics, data engineers, and data scientists. The role owns the long-term architecture and technical direction of core platform capabilities, with accountability for reliability, cost efficiency, and adoption. Responsibilities include designing foundational components across ingestion, transformation, orchestration, compute, and consumption, and establishing robust multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers while optimizing compute and storage. The position also entails leading cross-team technical initiatives, influencing platform strategy with senior stakeholders, mentoring senior engineers, and staying hands-on on the hardest problems. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity, with the platform serving both Engineering and Data Engineering to derive valuable insights from data.

Atlassian is hiring a Principal Software Engineer to join the Data Platform Team to build a world-class data platform that drives crucial business decisions, working with analytics teams, data engineers, and data scientists to identify gaps and implement solutions. The role offers flexible work options—office, home, or hybrid—and Atlassian can hire people in any country where it has a legal entity. The data platform serves both Engineering and Data Engineering to help generate valuable insights from data. You will own the long-term architecture and technical direction for core platform capabilities, design and build foundational components across ingestion, transformation, orchestration, compute, and consumption, and drive reliability, cost efficiency, and adoption. You will lead cross-team initiatives, establish multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs, mentor senior engineers, influence platform strategy, and stay hands-on with the toughest problems.

Zendesk is leveraging AI to transform customer experience and is hiring a regional commercial leader to drive growth across Asia and India, shaping the pipeline and converting AI interest into bookings. You’ll design and execute an inbound/outbound go-to-market strategy, prioritize accounts by AI readiness and value, and guide deal progression with Account Executives. You’ll pioneer an AI-native sales motion, coach teams to articulate the ROI of automation, and unify Marketing, Partnerships, and Sales Operations around a single strategy, while building the xDR-to-AE talent engine and an AE Accelerator Program with a 100% promotion rate. The role requires proven leadership of outbound or B2B SaaS teams, strategic and operational agility, cross-functional influence, a coaching mindset, and curiosity about AI. Zendesk offers autonomy, growth, and a diverse, inclusive, hybrid workplace, with equal opportunity and accommodations for applicants, and notes that AI may be used to screen applications.

The Enterprise ML team at Zendesk builds production-grade ML systems within the Enterprise Data & Analytics organization to transform complex customer and revenue data into products and insights that drive measurable business outcomes, in collaboration with product, engineering, and business stakeholders. As a Machine Learning Engineer, you own the full lifecycle—from problem understanding and model development to production deployment, monitoring, and ongoing optimization—working with AI engineers, data engineers, and analytics professionals to embed ML into the core platform. You design, build, and deploy models that predict churn, expansion, conversion, and customer engagement; develop scalable pipelines for continuous data ingestion and retraining; work with large-scale structured and unstructured data using modern ML and LLM techniques, and monitor production models for reliability. Requirements include 3–5 years of experience in ML/Applied ML/Data Science, a quantitative degree (MS/PhD a plus), strong Python and SQL, experience with large-scale data and NLP techniques, deployment and monitoring in production, plus familiarity with tools like Airflow or dbt; the Poland base salary range is €98,000–€146,000 with potential bonuses. Zendesk emphasizes hybrid work, diversity and inclusion, and accessibility; AI may be used to screen applications; they are an equal opportunity employer (AA/EEO/Veterans/Disabled), and accommodations are available via the designated email.

The Senior Engagement Manager leads large, complex, cross-functional implementation programmes for Zendesk across EMEA from mobilisation to go-live, aligning delivery with customer outcomes and value realization. They act as the senior delivery connector across Professional Services, Pre-sales, Sales, Customer Success, Product and partners, managing stakeholder expectations, escalations, governance, and the financials of assigned engagements. Responsibilities include translating business objectives into measurable delivery outcomes, coordinating multiple workstreams, applying deep CX and AI product knowledge to shape plans and mitigate risks, and continually improving delivery standards. Requirements include 7+ years of project or programme management experience, fluent English and German, strong leadership without direct authority, excellent organization and communication, and a bachelor’s degree or equivalent professional experience. Preferred skills include experience with SOWs and contracting models, PM certifications, familiarity with tools like Asana and Certinia, up to 20% travel, a hybrid office schedule, and Zendesk’s commitment to diversity and AI-based applicant screening.

The Zendesk Customer Success Manager role is an advisory, AI-powered position that owns customer relationships, drives product adoption and ROI, and accelerates growth, with proactive health management and outcome-driven engagement. You’ll oversee the full lifecycle—from onboarding to renewal—designing success plans, coordinating with Professional Services, championing Zendesk’s AI and automation capabilities, and translating features into real-world business value for technical and non-technical stakeholders. You’ll identify expansion opportunities, forecast renewals, surface risks and whitespace, and build strategic partnerships with executives while collaborating cross-functionally to align goals and innovation. Requirements include 5+ years in customer success/experience, GTM experience in enterprise technology/SaaS, a relevant bachelor’s degree, experience driving SaaS/AI adoption, ability to influence at all levels, proficiency with CS tools like Gainsight, strong program/project management, and native German with business-level English. Zendesk emphasizes a hybrid, inclusive culture and equal opportunity employment, with AI screening disclosures and accommodations available, and a commitment to diversity, equity, and inclusion.

Zendesk seeks a strategic Chief of Staff to partner with the Chief People Officer and translate priorities into a clear People strategy, portfolio, operating rhythm, and communications. The role leads portfolio management across People initiatives, budgets with Finance, board and executive materials, leadership offsites, all-hands planning, and high-priority confidential projects for the CPO. Basic qualifications include 10+ years in business strategy, operations, or related fields, 4+ years partnering with C-suite in a Chief of Staff or equivalent role, experience with budgeting and forecasting, strong executive communication, the ability to influence without formal authority, and comfort using AI-enabled planning tools. Preferred qualifications include experience supporting a CHRO in global technology or SaaS, in large multi-region organizations undergoing growth or transformation, and familiarity with planning, analytics, and portfolio management tools to improve transparency and decision making. The role offers a US base salary range of 185,000 to 277,000 dollars plus potential bonus and benefits, with Zendesk’s hybrid work model, commitment to diversity, equity, and inclusion, and information on AI screening and accommodations for applicants.

Zendesk is redefining how the world delivers service with a fast-growing AI product line (about $200m ARR) used by over 20,000 customers, and the BDR role targets high-growth Enterprise accounts in Australia & New Zealand to shape AI adoption for customer experience. You'll engage exec-level prospects to understand CX and AI gaps, drive high-value pipeline through targeted outbound, partner with Account Executives, Product and Marketing, qualify opportunities with a consultative approach, own your pipeline, and work on an onsite team in Melbourne three days a week. Requirements include 2+ years in sales/BDR, a competitive, resilient, self-starting mindset, curiosity for AI/SaaS and modern GTM, strong written and verbal communication, a desire for a long-term software sales career, and a bachelor’s degree is preferred. Why Zendesk: a hyper-growth AI engine, APAC GTM team, and a culture that rewards curiosity, grit, and impact, plus a hybrid model balancing in-person collaboration with remote work. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion; it may use AI or automated decision systems to screen applications, and provides accommodations for applicants with disabilities, with US applicants able to review their EEO rights.

Zendesk is seeking a pure hunting sales role in Asia focused on SMB/EMC, responsible for identifying, uncovering, and qualifying opportunities to drive a significant sales pipeline while coordinating with sales, product, marketing, and other internal stakeholders. Responsibilities include engaging with prospects to understand business pain points, generating high-value pipeline through strategic and targeted prospecting, developing target lists with the sales team, and managing the pipeline to deliver excellent customer experience. Ideal candidates have at least 2 years of sales experience in SMB/EMC (preferably Southeast Asia), a competitive, self-starter mindset, excellent communication and organizational skills, and a bachelor’s degree is preferred. The role offers a hybrid work arrangement with part of the week on-site, with the specific in-office schedule determined by the hiring manager. Zendesk is an equal opportunity employer committed to diversity and inclusion, provides accommodations for applicants with disabilities or disabled veterans, and may use AI screening in the hiring process; accommodations requests can be emailed to peopleandplaces@zendesk.com.

Sentry helps developers fix errors and performance issues before users notice, and is trusted by 200,000+ organizations as today’s application monitoring standard while building an AI-native future. The role is Manager, Design Engineering for Scraps, leading a team of designers and front-end engineers building the infrastructure that powers UI development, at the intersection of design, engineering, and AI tooling. You will manage and grow the team, own the strategic roadmap, help maintain UI quality, keep design tokens and component parity in sync from Figma to production, stay hands-on building components and infrastructure, and drive adoption through documentation and contribution workflows. Qualifications include 3+ years in a full-time design system or design engineering team, 2+ years of people management, strong visual and interaction design, deep fluency in React, TypeScript, CSS, and the DOM, familiarity with Figma design systems tooling, and a base salary range of $200,000–$270,000 with benefits. Sentry is an open-source company committed to equal opportunity, inclusive culture, accommodations for disabilities, and an Applicant Privacy Policy.

Tempo serves 30,000+ customers, including about one-third of Fortune 500, and offers an integrated suite for time management, resource planning, budget management, roadmapping, and program management; since 2007 it has grown into the #1 time management add-on for Jira and a trusted name in the Atlassian ecosystem, with a mission to help teams work smarter. The role is Associate Account Executive, owning the full SMB sales cycle—from prospecting and qualifying leads to closing deals and building lasting client relationships—and collaborating with Tempo teams to tailor solutions and drive revenue growth. Responsibilities include identifying potential SMB clients, delivering product demos and consultative sales presentations, managing the sales pipeline and CRM, negotiating contracts and terms, building long-term relationships, enabling onboarding and customer success, and staying informed on industry trends. Requirements include 2+ years in sales, business development, or account management with a proven quota track record, strong communication and negotiation skills, CRM experience (Salesforce, HubSpot), and the ability to thrive in a fast-paced environment; a bachelor’s degree in Business or Marketing is preferred. Perks cover remote-first work, unlimited vacation in most locations, comprehensive benefits, training and travel reimbursements, opportunities for professional growth, diverse teams, social activities, and an equal-opportunity workplace.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, providing governance to operate at AI speed across the software development lifecycle. It is trusted by 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with its open source tools downloaded over 100 million times monthly and more than 30,000 GitHub stars. SmartBear’s best-loved brands—Swagger, TestComplete, Reflect, QMetry, Zephyr, and others—help meet customers where they are to improve our technology-driven world, and you can learn more at smartbear.com or on social channels. The company is hiring an Account Executive to drive new business, expand penetration within existing clients, and institutionalize SmartBear solutions in customers’ development processes, offering uncapped earnings, accelerators, and a collaborative culture. SmartBear stresses an inclusive, equal-opportunity workplace with global offices, a people-centric culture, and a mission to advance software quality, seeking candidates with 3+ years of software sales experience, technical solution selling, and related skills.

SmartBear provides application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling governance at AI speed across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and brands like Adobe, JetBlue, and Microsoft, with open-source tools downloaded over 100 million times per month and more than 30,000 GitHub stars. Its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr, and the company aims to meet customers where they are to improve software quality in a technology-driven world. SmartBear is hiring an Account Executive to drive New Business, deepen penetration within existing clients, and institutionalize SmartBear solutions in customers’ development processes, with ongoing training and clear career growth. Candidates should have 3+ years of software sales experience, a background in technical solutions and proof-of-concept or MEDDICC/value-based selling, a track record of meeting KPIs and quotas, strong communication, a self-starter attitude, familiarity with LinkedIn Sales Navigator, Salesforce, and Outreach, and a bachelor’s degree or equivalent experience.

Le poste fait partie d’une équipe qui aide les clients à tirer le meilleur parti de la suite Atlassian (Jira, Confluence, Bitbucket et des outils connexes comme Slack) afin de créer de la valeur pour leur entreprise en intégrant les systèmes, en automatisant les processus et en améliorant l’efficacité. La personne fournit des conseils d’expert et conçoit des solutions pratiques pour la configuration des produits, les migrations, les mises à niveau et le réglage de la performance. En tant que conseiller technique Atlassian, elle participe à la prévente en proposant des solutions, en fournissant des estimations et en rédigeant des propositions, tout en se tenant à jour sur les produits et technologies associées. Elle collecte et analyse les besoins des clients, recherche et présente des solutions, communique régulièrement avec les intervenants, partage les connaissances en interne, peut visiter les clients sur site et assure la mise en œuvre et la livraison des solutions Atlassian. Elle installe, met à niveau et migre les applications Atlassian et les technologies associées, conçoit et met en œuvre des solutions adaptées (flux de travail, extensions et scripts, configuration), rédige des scripts en Groovy ou Java, administre les bases de données et les demandes, assure l’intégration Web via l’API REST et administre les systèmes Linux et Windows, en particulier les serveurs d’applications.

The Strategic Accounts team aims to make Miro the nerve center for innovation inside Fortune 500/Global 2000 enterprises, evolving from a collaboration tool to an AI-powered innovation workspace, with Strategic AEs acting as account CEOs leading cross-functional teams. As a Strategic AE, you will own a focused portfolio of Miro’s largest enterprise customers, develop multi-year account strategies, understand industry context and executive priorities, and drive expansion across Product, Engineering, Design, IT, Operations, and transformation teams. You will create pipeline through disciplined account-based execution, build executive alignment around measurable outcomes, orchestrate cross-functional pods, maintain strategic pipeline, and apply MEDDPICC and the Command of the Message to move opportunities forward. Requirements include 10+ years of SaaS sales experience with Fortune 500/Global 2000 clients, native fluency in Spanish and English, a track record closing and expanding 250k–1M+ enterprise deals, and strong experience with cross-functional deal teams and AI-enabled selling. The role offers benefits such as equity, wellbeing benefits, WFH equipment allowance, and an L&D stipend, along with Miro’s culture of belonging, collaboration, and a global presence.

Atlassian allows employees to work in the office, from home, or a mix, and hires in any country where the company has a legal entity, giving people flexibility to balance family and personal goals. The Advisory Services team is a globally distributed group of Atlassian experts focused on helping large strategic and enterprise customers achieve successful outcomes and maximize value from their Atlassian investments. The company is hiring a Senior Solutions Consultant (non-managerial) with a Teamwork Foundations + AI focus to join the Advisory Services Delivery team as an individual contributor. Atlassian Solutions Consultants deliver technical guidance and ensure product capabilities align with client business goals to drive value realization for customers who purchase Advisory Services. In this role, you will help top promoters showcase successes, create technical content and prescriptive guidance for multiple Atlassian solution areas, and collaborate with internal teams to advocate for customer needs and innovative solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and acts as trusted advisors to help the largest strategic and enterprise customers solve complex challenges and maximize the benefits of their Atlassian investments. They are hiring a Senior Solutions Consultant with a Teamwork Foundations + AI focus to join the Advisory Services Delivery team as an individual contributor (not a managerial role). Atlassian Solutions Consultants are experts in Atlassian products and solutions, delivering high-value, scalable strategic technical guidance to clients who have purchased Advisory Services. The role involves helping top promoters showcase successes, expand the reach of Atlassian technologies to new use cases and markets, creating technical content and prescriptive guidance, and partnering with other teams to advocate for customer needs and innovative business-focused solutions.

- Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines to power GenAI products at Atlassian. - They will use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. - The role provides the opportunity to lead other engineers on projects from technical design to launch. - They will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian allows employees to choose where they work—office, home, or a mix—and hires in any country where there is a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You will apply your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. You will have the opportunity to lead other engineers on projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassians can choose where to work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring open in any country where Atlassian has a legal entity. The Senior ML System Engineer role sits in the Rovo GenAI Platform team and involves building and maintaining the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and power Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. There is an opportunity to lead other engineers on involved projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian supports flexible work arrangements, allowing employees to work in an office, from home, or a mix to better support personal priorities. The company hires globally where it has a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. The Senior ML System Engineer in the Rovo GenAI Platform team builds and maintains the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and to power GenAI products. The role uses software development expertise to solve challenging infrastructure and architecture problems. There is an opportunity to lead other engineers on projects from technical design to launch, and to collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees support family, personal goals, and other priorities. The company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. As a Senior ML System Engineer in the Rovo GenAI Platform team, you'll build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You'll use software development expertise to tackle difficult infrastructure and architecture challenges, with the opportunity to lead other engineers from design through launch. You'll also collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Confluence Cloud AI team builds and deploys ML solutions that drive revenue, grow the active user base, and provide forecasting for top-line metrics, handling the full ML lifecycle from problem definition to deployment and ongoing improvement. The Senior ML Engineer will focus on advanced ML algorithms and forecasting models, collaborating with Growth, GTM, Product, Finance, Sales, and engineers to deliver high-impact results. Responsibilities include end-to-end lifecycle management, data preparation, modeling, experimentation, evaluation, deployment, iteration, and designing scalable, production-ready architectures and infrastructure. The role also emphasizes clear communication to technical and non-technical audiences, mentorship of junior engineers, and balancing high-quality output with rapid iteration and measurable business outcomes.

Atlassian offers flexible, distributed-first work options—office, home, or a hybrid arrangement—and can hire people in any country where we have a legal entity, with interviews and onboarding conducted virtually. We are hiring a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow the active user base, and provide sophisticated forecasting for top-line metrics. The team handles the complete end-to-end ML development lifecycle—from problem definition and experimentation through production deployment and ongoing improvement—working in a highly collaborative environment across Growth, GTM, Product, Finance, and Sales alongside experienced ML and full-stack engineers. The role involves driving the development and implementation of advanced ML algorithms for business-critical applications, building scalable, reliable forecasting models (including deep-learning-based approaches) to forecast company metrics at a granular level, and leading the lifecycle end-to-end. You will design system and model architectures, develop rigorous model-evaluation approaches, translate complex problems into practical solutions, build ML infrastructure, explain concepts to technical and non-technical audiences, mentor junior ML engineers, and balance high-quality output with rapid iteration and measurable business impact.

Atlassian offers flexible work options (office, remote, or hybrid) with virtual interviews and onboarding, and the company can hire in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, expand the active user base, and forecast top-line metrics. The role covers the full ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iteration—with an emphasis on forecasting models and production-quality architectures. You will collaborate with teams across Growth, GTM, Product, Finance, and Sales, build scalable ML infrastructure, translate complex problems into practical solutions, and mentor junior ML engineers while explaining concepts to both technical and non-technical audiences. The position prioritizes high-quality output balanced with business practicality, rapid iteration, and measurable customer and business outcomes in a highly collaborative environment.

Atlassians can choose where they work—office, home, or a mix—and the company hires in any country where it has a legal entity. Sales Development Representatives partner with Sales and Success Account Teams to build the sales pipeline while ensuring a delightful customer experience, and they report to a Sales Development Manager. What you’ll do: be accountable for meeting setting, outbound prospecting, conversion, quota, and activity metrics. You’ll need to navigate objections with value-driven messaging and be great at writing relevant emails and video prospecting to drive value for customers. You’ll build the pipeline in partnership with Sales and Success Account Teams, using tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work arrangements—office, remote, or hybrid—to give employees more control over personal priorities. The company hires people in any country where it has a legal entity. The Sales Development Representative role partners with Sales and Success Account Teams to build sales pipeline while ensuring a positive customer experience. The role reports to a Sales Development Manager and is responsible for meeting setting, outbound prospecting, conversion, quota attainment, and activity metrics, including navigating objections with value-driven messaging and crafting effective emails and video outreach. The role involves building the pipeline in collaboration with Sales and Success teams and using tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, and is seeking a US-based Outbound Product Manager for Service Collection. - The OPM sits at the intersection of product strategy and the field (and is not a quota-carrying seller or a conventional PMM), turning the High Touch GTM plays into a repeatable product and competitive advantage across multiple functions. - The primary focus is Transformation & Compete (driving migration from fragmented or incumbent platforms to the Service Collection model) and Enterprise Trust & Compliance (embedding security, governance, residency, and reliability requirements into product strategy and customer proof). - Responsibilities include owning the operating system for priority plays, translating field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms such as playbooks, dashboards, and measurement systems. - Required qualifications include significant experience in relevant roles, strong communication and influence, and willingness to travel; preferred qualifications include service management or IT operations background, familiarity with security/compliance concepts, experience building field-to-product mechanisms, and success operating across distributed teams, all grounded in a customer-focused, evidence-led, strategic-but-operational mindset.

Atlassian lets employees choose where they work and hires in any country where they have a legal entity. Atlassian is building Service Collection and is hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and competitive advantage, sitting at the intersection of product strategy and the field as a mini GM; this is not a quota-carrying seller and not a conventional product marketing role, and you will collaborate across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. The primary focus is Transformation & Compete—helping customers move from fragmented or incumbent platforms to a modern Service Collection operating model—and Enterprise Trust & Compliance—translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy and proof. Responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks, dashboards, and templates that scale beyond one person or account. Requirements include significant experience in enterprise-focused product or related roles, ability to transform ambiguity into executable strategy, strong communication and influence, travel willingness, with preferred background in service management, security/compliance concepts, and field-to-product mechanisms; and key personal attributes such as being evidence-led, commercially literate, customer-grounded, low ego, and a system builder.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever they have a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn High Touch go-to-market plays into a repeatable product and commercial advantage, working across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership, and this is not a quota-carrying seller nor a conventional product marketing role. The role centers on Transformation & Compete and Enterprise Trust & Compliance, translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy, roadmap influence, field readiness, and customer proof, acting as a mini general manager at the field-product boundary. Responsibilities include owning the operating system for priority plays with clear plans and cadence, turning field signals into actionable product strategy with evidence-backed briefs, leading cross-functional execution without formal authority, and building durable, scalable mechanisms like playbooks, templates, dashboards, and definitions of play health. Requirements include significant experience in relevant roles within B2B enterprise software, ability to convert ambiguous customer or market problems into executable strategy, knowledge of enterprise buying and compliance concepts, travel willingness, and attributes such as being evidence-led, commercially literate, technically credible, customer-grounded, low ego, ownership-minded, and a system builder.

Atlassian supports working from anywhere and hires globally where it has a legal entity. The Service Collection initiative aims to build a modern enterprise service management operating system, and they’re hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and commercial advantage with cross-functional collaboration. The OPM role is not quota-carrying nor a conventional PMM; it sits at the intersection of product strategy and the field, acting as a mini GM who identifies enterprise patterns and converts customer and competitive evidence into product action. Key responsibilities include owning the operating system for priority plays, turning field signals into strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks and dashboards. Requirements include significant enterprise product or related experience, the ability to translate ambiguous problems into executable plans, strong communication and analytical judgment, influence without formal authority, willingness to travel, and preferred experience in service management, security/compliance, and field-to-product mechanisms.