The Ampin App
deep insights into the Atlassian community

Figma is expanding its team of creatives and builders to make design accessible and enable real-time collaboration across brainstorming, prototyping, translating designs into code, and AI iteration, from anywhere. They are seeking Data Engineering interns to help scale the systems and pipelines that power decision-making, with the internship based in Figma’s San Francisco or New York hubs. Responsibilities include building, testing, and documenting data pipelines into the data warehouse, designing trusted datasets, optimizing performance, collaborating cross-functionally, and owning a scoped project from problem definition through results. Qualifications include experience with Python or a similar language, SQL, data pipelines/ETL or large datasets, curiosity about data systems, and strong communication, with an encouragement to apply even if your past experience isn’t a perfect match. The role offers $46/hour, a housing stipend and travel reimbursement, equal opportunity employment, accessibility accommodations, and practical details such as camera-on interviews, in-person onboarding, and application limits (up to 5 applications in 30 days, with no reapplication to the same role while active or within 90 days of rejection).

Figma is growing its team to make design accessible and its platform supports teams from brainstorming to prototyping, translating designs into code, and collaborating in real time from anywhere. It’s hiring a full-time Corporate Communications Manager to set a new standard for communications at a public company, based in San Francisco or New York, and to partner across finance, investor relations, legal, brand, product, and design to mine and tell stories across audiences and channels. Responsibilities include defining and driving Figma’s corporate storytelling strategy end-to-end, creating integrated campaigns beyond traditional PR, translating business momentum into compelling narratives, and shaping executive communications for business and financial audiences while staying ahead of the news cycle. Required qualifications include 7+ years in-house communications, a track record building programs from the ground up, strong business and cultural fluency, comfort in fast-paced ambiguity, and a demonstrated point of view on storytelling beyond conventional PR, with design/product background a plus. The posting covers compensation and benefits (base salary range $153,000–$269,000, equity and comprehensive health, retirement, parental leave, mental health, PTO, and other perquisites), equal opportunity and disability accommodations, interview practices, privacy, and application limits (up to 5 applications per rolling 30 days and no reapplication within 90 days of rejection).

Figma is seeking a Content Strategist focused on Product to join its Story Studio team, developing narratives that reveal the craft, process, and impact of product design and development. The role involves creating multi-format content about product design, interviewing designers, researchers, and product managers, contributing to design trend thought leadership, and producing case studies while maintaining an authentic design voice and collaborating with product and marketing. Requirements include 5+ years of product-design/tech content experience, a strong design-focused writing portfolio, deep understanding of design tools and processes (including Figma), and editorial judgment; bonus points for a background in product design/PM, frontend concepts, multimedia content, and design tools. Compensation includes a base salary range of $153,000–$221,000 USD, equity, and a comprehensive benefits package with health/dental/vision, retirement contributions, parental leave, mental health benefits, PTO, and the option to work from US hubs or remotely in the United States. Figma emphasizes equal opportunity, accommodations for disabilities, and requires camera-on during video interviews with in-person onboarding; there are application limits (up to five applications per rolling 30 days) and candidate data will be handled per the Candidate Privacy Notice.

Figma is hiring a Content Strategist focused on Product to join the Story Studio team to translate complex product design concepts into accessible, engaging multi-format content for diverse audiences, with the role possible from a US hub or remote in the United States. Responsibilities include creating content that showcases product design and development processes, interviewing designers, researchers, and product managers, contributing to thought leadership, producing case studies, and maintaining an authentic design voice across platforms while collaborating with the marketing team. Requirements include 5+ years of experience in product design, product building, or tech content; a strong portfolio of design-focused writing; deep understanding of design processes and tools (including Figma); strong editorial judgment and writing voice; plus preferred background in product design/PM, front-end concepts, and multimedia content. The role offers equity and a comprehensive benefits package, including health/dental/vision, retirement contributions, parental/reproductive support, mental health benefits, paid time off and flexible PTO, with an annual base salary range of $153,000–$221,000; Figma is an equal opportunity employer and provides accommodations as needed. Additional policies include requiring camera-on during video interviews, in-person onboarding for hires, and application limits: up to five applications in any rolling 30-day period and no reapplication to the same role while active or within 90 days of rejection.

Figma is expanding its team and hiring a full-time Operations & Strategy role within Customer Operations & Support to own and evolve the COS Zendesk environment and related tools (including Decagon) from US hubs or remotely in the United States. You’ll optimize Zendesk workflows, routing, automations, and system health, improve ticket classification and backlog management, administer Decagon integrations, and support other tools like Sprinklr, Gainsight, MaestroQA, and Assembled while advancing AI capabilities. The ideal candidate has 3+ years as a Zendesk administrator or Business Systems Analyst, deep Zendesk expertise with Decagon integration, and the ability to lead system changes in collaboration with Engineering, IT, Security, or Analytics. Figma offers equity, a competitive benefits package, and a pay range of $105,000–$245,000 USD, with compensation based on qualifications, market, and location. The company emphasizes diversity and accommodations for disabilities, requires camera-on during video interviews with in-person onboarding, and enforces application limits (up to 5 applications per 30 days) along with a candidate privacy notice.

Figma is growing its team of creatives and builders, and this open role sits in the Operations & Strategy group within Customer Operations & Support, where you’ll own and evolve the systems that power the support organization. You’ll own the COS Zendesk environment (workflows, routing, automations, and system health), lead improvements to ticket classification and backlog management, administer Decagon and its Zendesk integration, support other tools like Sprinklr, Gainsight, MaestroQA, and Assembled, and expand agent-facing AI capabilities. The role requires 3+ years as a Zendesk administrator or business systems analyst, deep hands-on Zendesk experience (including Decagon), the ability to learn new tools quickly, and demonstrated ability to lead systems changes with cross-functional partners, plus strong communication. Figma offers equity, a competitive benefits package (health, dental, vision, retirement, parental leave, mental health, PTO), and a base salary range of $105,000–$245,000, with remote or US hub options, while emphasizing diversity and accommodations and requiring in-person onboarding and cameras-on for video interviews. They encourage applying even if your experience isn’t a perfect match, and there are application limits: up to five applications in a rolling 30-day period and no reapplication to the same role while an application is active or within 90 days of a rejection.

Figma is growing its team and seeking applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies that make Figma’s products more magical, with full-time roles available from US hubs or remotely in the United States. The role centers on driving fundamental and applied AI research, developing cutting-edge generative AI models (SFT, RL, prompts, and synthetic data) and collaborating with product and infrastructure engineers to deliver AI-powered features and evaluate them. Requirements include 4+ years in Generative AI, 6+ years in ML/NLP/vision, 5+ years of software engineering, and experience with PyTorch, JAX, HuggingFace, as well as RL techniques like DPO/PPO and RLVR; proficiency in Python/C++/Java/R is also needed. Nice-to-haves include roadmap planning, mentoring senior engineers, and experience with large-scale distributed AI training, and Figma encourages applicants even if their background isn’t an exact match. Compensation ranges from $153,000 to $376,000 base, with equity and a comprehensive benefits package, plus equal opportunity and accommodations; the posting also notes candidate privacy, application limits, and related policy details.

Figma is growing its team to make design accessible and enable real-time collaboration and AI-driven workflows from anywhere. They’re hiring full-time Applied Scientists with ML/AI backgrounds to drive fundamental and applied AI research and build AI-powered features for Figma’s products, with remote US or US hub options. You’ll develop generative AI models using SFT, RL, prompting, and synthetic data, collaborate with product and infrastructure engineers, and build evaluation systems to measure AI feature quality and translate user feedback into AI requirements. Requirements include 4+ years in Generative AI and 6+ years in ML/NLP/vision, strong software engineering (5+ years in Python/C++/Java/R), and experience with PyTorch/JAX/HuggingFace and RL techniques like DPO/PPO and RLVR (GRPO/DAPO), with pluses such as roadmap planning and large-scale distributed AI training. The offer includes equity, comprehensive benefits, and a salary range of $153,000–$376,000, along with equal opportunity employment, accommodations, and notes on application limits (up to 5 applications per 30 days; cameras on during video interviews; in-person onboarding).

Figma is growing its team to make design accessible to all, with a platform that supports brainstorming, prototyping, translating designs into code, and AI iteration for real-time collaboration from anywhere in the world. The Strategic Account Executive role, based in Sydney or Melbourne, will drive sales and expansion with a defined list of top-tier Enterprise customers, building C-level relationships and delivering innovative solutions across Figma’s product suite. Responsibilities include managing named strategic accounts to meet targets, using discovery and value-selling to win executive sponsorship for enterprise deployments, creating strategic account plans, and collaborating cross-functionally to move deals forward and ensure customer success. Requirements include 8+ years of enterprise software/SaaS sales with a focus on 5,000+ FTE customers, a proven ability to close long, complex cycles, and proficiency with MEDDIC/MEDDICC or Command of the Message; bonus points for selling to engineering/product/design teams and for related certifications. Figma emphasizes growth, diversity, and equal opportunity, requires camera-on interviews and in-person onboarding, and imposes application limits (up to 5 applications per 30 days) with privacy protections for candidate data.

Figma is growing its team and seeking a full-time Strategic Account Executive to drive sales and expansion with top-tier enterprise customers, a role that can be held from a US hub or remotely in the United States and focuses on delivering solutions across Figma’s product suite. You’ll manage a defined list of strategic accounts, use value-selling to build C-level relationships, align with executives on business challenges, create strategic account plans, and collaborate with cross-functional teams to move deals forward and ensure customer success. Requirements include multi-year software/SaaS sales to 5,000+ employee enterprises with a track record of meeting pipeline targets, experience managing complex 9+ month sales cycles, and proficiency in a sales methodology; bonus points for selling to technical audiences and certifications in deal qualification and prospect discovery. Figma emphasizes growth, equity, and competitive benefits (health, dental, vision, retirement, parental leave, mental health, and more), with an annual base salary of $200,000 and a commitment to equal opportunity and accommodations for disabilities. There are application limits (up to 5 applications per rolling 30 days; cannot reapply while an application is active or within 90 days of rejection), and candidates are expected to have cameras on for video interviews and complete in-person onboarding, with data processing under Figma’s Candidate Privacy Notice.

Figma is expanding its team to make design accessible, offering a platform for brainstorming, prototyping, translating designs into code, and real-time collaboration from anywhere. They are hiring a Strategic Account Executive to drive sales and maximize expansion with top-tier Enterprise customers, building C-level relationships and delivering innovative solutions across the product suite. Responsibilities include managing a defined list of strategic accounts to meet targets, using discovery and value-selling, aligning with executives for enterprise deployments, and developing strategic account plans through cross-functional collaboration. Qualifications require multi-year SaaS sales to large enterprise customers (5000+ FTEs), consistent pipeline generation for net new business, and experience managing complex 9+ month sales cycles; it’s a plus to have experience selling to technical teams and deal qualification certification. Figma offers equity and comprehensive benefits, a base salary of $200,000, remote or US hub options, a commitment to diversity and accommodations, and a limit of five applications per rolling 30 days.

Figma is expanding its team and seeks an Account Executive, SMB to generate new business and guide inbound prospects through the Figma evaluation and buying process. The role involves building and managing an SMB pipeline (up to 500+ FTEs), applying discovery and value-selling to engage decision-makers, and moving deals forward through cross-functional collaboration and in-person meetings; it is based in NYC or SF with in-person work two days per week. Requirements include experience with structured sales or outbound programs, closing SaaS sales, consistent pipeline generation, and managing high-volume cycles with a customer-value driven methodology; they encourage applicants to apply even if their background doesn’t align perfectly, and preferred qualifications include selling to technical audiences and deal-qualification certifications. Figma offers equity, a comprehensive benefits package (health, dental, vision, retirement, parental leave, mental health, PTO, holidays), an annual bonus plan for eligible roles, and a base salary of $70,500, with compensation subject to various factors. The company promotes diversity and inclusion, provides accommodations for disabilities, requires cameras on during video interviews and in-person onboarding, and enforces application limits of up to five applications per 30 days with a 90-day reapplication restriction.

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

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

Atlassian hires people in any country where it has a legal entity, with eligible working rights and a time zone overlap with your team, and you can work remotely or in an office, with interviews and onboarding conducted virtually as part of being a distributed-first company. The Atlassian Advisory Services team is globally distributed and helps our largest strategic and enterprise organizations tackle complex business challenges, acting as trusted advisors to maximize the benefits of Atlassian investments. Atlassian is hiring a Senior Solution Consultant with a Cloud Platform and AI focus to join the Advisory Services Delivery team as an individual contributor (not managerial), delivering guidance to drive value realization for clients that have purchased Advisory Services. Responsibilities include collaborating with peers to align on strategic outcomes, partnering with customers to solve business challenges with Atlassian products and solutions, identifying expansion opportunities, cultivating expertise, creating technical solution content, and advocating for customer needs across non-customer-facing teams. The role may require travel up to 30% of the time domestically and, in some cases, internationally, for internal and customer-facing events.

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

At Atlassian, you can work in an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity to support work-life balance. The goal is to build a 100-year company with a world-class, empowered, distributed engineering organization backed by the tools and infrastructure to do the best work of their careers. The role involves building and mentoring a high-performing distributed full-stack team across global locations, improving developer experience, and scaling Atlassian’s in-house translation and localization platform to enhance global customer experiences. You will partner with design, product, and engineering to embed accessibility, internationalization, and quality standards into platform tools and automated guardrails, drive release hygiene and governance, and serve as the engineering anchor in triad planning. Required background includes 5+ years of managing software engineering teams in platform or full-stack, leading senior/principal engineers, strong full-stack experience (backend distributed systems and modern web foundations), familiarity with design systems, localization, or AI-assisted developer workflows, and a track record of collaborating across time zones with a focus on mentorship and high-trust cultures.

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

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Loom is Atlassian’s async video product that lets teams record quick videos instead of long messages or meetings, and it now integrates with Confluence while providing AI-generated transcripts and summaries through Rovo. Loom is part of Atlassian and is expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the product’s direction at the intersection of product strategy, customer insight, and experimentation, by collaborating with cross-functional partners and applying quantitative analysis. The role involves defining, testing, and prioritizing opportunities, forecasting and monitoring key metrics, informing roadmaps, and using storytelling to communicate insights to leadership to ensure products deliver value.

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

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

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

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

Atlassian offers flexible work options (office, home, or hybrid) and recruits globally wherever they have a legal entity. They seek a Sales Leader to oversee Teamwork Collection Specialists, crafting enterprise-focused sales strategies that highlight Teamwork Collection, utilize Loom and Rovo alongside Jira and Confluence, and achieve aggressive revenue targets. The role requires collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures, drive value propositions, and improve customer satisfaction, as well as recruiting top sales talent and building relationships with Enterprise and Strategic clients. Responsibilities include leading the Teamwork Collection Specialists to meet targets in Enterprise and Strategic segments, developing and executing strategic plans to expand market share, mentoring the sales team, setting performance goals, and onboarding new hires as needed. Additional duties involve analyzing sales data and market trends, conducting regular performance evaluations, maintaining relationships with peer leaders, providing updates to senior management, and staying informed about industry dynamics and the role of AI in Software Delivery within the Enterprise and Strategic segments.

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

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity. - The role is a CSA (AI) in the Customer Success Architect team, focusing on adoption of Atlassian's AI platform, Rovo, and delivering time-boxed, co-built engagements that turn Rovo on into measurable business value. - Responsibilities include discovering high-impact AI use cases with enterprise teams, designing and building custom Rovo agents and connectors, deploying to production, and collaborating with Account Teams, CSMs, and Product to scale adoption. - The position is non-managerial; CSAs are technical experts who provide scalable guidance, help expand AI across the Atlassian System of Work to new use cases and markets, and travel up to 15%. - Required background includes 3–5 years in Customer Success or enterprise SaaS, experience with AI platforms and the Atlassian ecosystem, hands-on AI production experience, knowledge of enterprise workflows and third-party connectors, and a strong product mindset with the ability to communicate AI concepts to non-technical stakeholders.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity; for this role they welcome applicants from all regions of Poland, and may consider candidates in the Netherlands or UK if they bring strong CEE market coverage and Polish fluency. The company is redefining service management for CEE emerging markets with the Atlassian Service Collection, which unifies ITSM and ESM and is powered by Rovo, Atlassian's AI platform to triage requests, surface knowledge, automate workflows, and speed up issue resolution. Central and Eastern Europe is a high-potential growth region for Service Collection, with Poland showing cloud migration potential and other markets varying in cloud readiness and AI adoption, creating mid-market opportunities across ITSM/ESM. The role is a Solution Sales Executive on the EMEA Solution Sales team, responsible for driving ITSM/ESM sales growth across CEE mid-market, building relationships with senior IT and business leaders, and leading end-to-end deals including cloud migrations, expansions, and complex multi-stakeholder opportunities, in collaboration with Account Executives, Solution Engineers, and partners, while feeding feedback to Product, Marketing, and Engineering teams. Why join: you’ll be the ITSM/ESM expert for CEE, shape an emerging growth region, enjoy the Best of Both Worlds with Atlassian’s stability and a high-growth unit, and contribute to strategic deal architecture while forecasting and maintaining deal visibility.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, with a focus on Poland for this role and eligibility for the Netherlands or United Kingdom if you have strong CEE market coverage and fluency in Polish. The role centers on driving adoption of the Service Collection, Atlassian's AI-powered service management platform built on Rovo, to unify ITSM and ESM and improve employee and customer experiences. CEE market context highlights Poland’s cloud migration potential and other regions’ readiness for AI, with the role supporting mid-market ITSM/ESM transformations across the region. You will join the EMEA Solution Sales team as a Solution Sales Executive, responsible for end-to-end sales, cloud migrations, and expansions across mid-market and enterprise accounts in CEE. Key responsibilities include building relationships with senior IT and business leaders, coordinating with Account Executives, Solution Engineers, and Partners to tailor the Service Collection story, closing complex deals, identifying displacement opportunities, and providing market feedback to Product, Marketing, Engineering, and regional GTM teams while forecasting accurately.

Atlassian offers flexible work options—employees can work in an office, from home, or in a hybrid setup to support their personal goals and priorities. They hire in any country with a legal entity, and interviews and onboarding are conducted virtually as part of a distributed-first approach. The role is a non-traditional, remote or hybrid field sales leadership position based in Germany, leading a team of Strategic Account Executives covering the DACH region. Responsibilities include setting the sales strategy, leading its execution, and helping the team unlock new business opportunities while building relationships with business and IT stakeholders. The team will collaborate with channel, product specialists, and solutions engineers, act as customer advocates, and provide market feedback to development teams to improve the customer experience.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. Interviews and onboarding are conducted virtually as part of being a distributed-first company. The company is seeking someone based in Germany for a remote or hybrid field sales position. In this non-traditional sales leadership role, you will manage a team of Strategic Account Executives covering the DACH region and set the sales strategy across the team. You will help the team unlock new business opportunities, build relationships with business and IT stakeholders, partner with channel, product specialists, and solutions engineers, and provide market feedback to development teams to improve the customer experience.

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.

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

Atlassians can choose where they work—office, home, or a hybrid—giving them greater control over family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. As the DX Sales Enablement Specialist, you will own the delivery engine that makes enablement programs repeatable, usable, and scalable. Responsibilities include building, maintaining, and administering AE and SDR onboarding content, learning paths, schedules, checklists, and certifications; facilitating onboarding sessions and role plays; managing logistics; maintaining the AE onboarding hub and enablement content libraries; and creating and updating playbooks, job aids, battle cards, learner guides, training decks, and just-in-time resources; plus coordinating the monthly go-to-market enablement cadence with PMM, Product, Marketing, and Sales. You will gather participant and manager feedback, report on completion, attendance, certification, adoption, and content usage; support GTM and product launches with learner-facing materials and coordination; build and operate the SDR enablement program once the shared AE foundation exists; and assist other priority enablement initiatives as business needs arise.

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

The 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.

- Atlassian offers flexible work options, including fully remote roles, and eligible UK candidates can apply. - The Mid Market Sales team helps large customers scale their Atlassian investments, was established in 2019, and brings experience from Fortune 500 companies and startups while upholding Atlassian values. - They are seeking a proactive Account Executive who thrives on unlocking untapped potential within existing customer relationships to deepen Atlassian’s footprint and realize fuller value. - You will identify and develop growth opportunities within an assigned UKI portfolio, develop and execute strategic account plans to expand adoption and uncover new use cases within accounts that have existing but limited Atlassian usage, and implement named account or territory plans to maximize expansion and ensure customer success. - You’ll collaborate with the channel sales organization to build sales strategies for designated territory or named accounts and serve as Atlassian’s main contact for those Mid-Market accounts.

Atlassian offers flexible work arrangements, and this fully remote, non-traditional Sales role is eligible to hire in the UK. The Mid Market Sales team helps Atlassian’s largest customers scale their investments, and it was established in 2019 with members from Fortune 500 companies and startups, guided by Atlassian values. They are seeking a proactive Account Executive who can unlock untapped potential within existing customer relationships. Responsibilities include identifying growth opportunities within an assigned UKI portfolio, developing strategic account plans to expand adoption and uncover new use cases, and implementing plans to maximize expansion and ensure customer success. The role also involves collaborating with channel sales and serving as the main point of contact for designated Mid-Market accounts.

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

- Atlassian supports flexible work arrangements, allowing collaboration from home or global offices, and hires in any country with a legal entity. - The Intern program provides hands-on technical training, professional growth, dedicated mentorship, and strong social connections to prepare interns for a successful Atlassian career. - The Seattle hub hosts this role, and candidates must be able to work from that hub; the internship is not eligible for F1 or J1 students and does not offer sponsorship. - The paid internship runs for 12 weeks between May/June and August/September 2027. - As a Data Engineering intern, you will influence product teams, support Data Science and Analytics Platform teams, collaborate with data consumers to ensure data assets are of high quality and usefulness, and responsibilities include defining metrics, instrumenting logging, acquiring/ingesting data, architecting and modeling data, transforming data, ensuring data quality and governance, enabling data use, and building at-scale solutions with alerting, visualization, and reporting to improve product experience, efficiency, and cost.

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

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The ITSM Analytics group within Jira Service Management builds the reporting and analytics platform that turns JSM operational data (requests, incidents, SLAs, assets, and Ops/Opsgenie) into actionable IT and service insights, a key competitive differentiator for JSM. The team owns JSM's end-to-end analytics surface, including Custom Metrics, JSM Insights (SLA-breach insight generation and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page, spanning frontend dashboards, metric-authoring UIs, backend GraphQL APIs, data pipelines, and reporting data infrastructure. It is a high-ownership, full-stack team shipping from EAP to GA, with emphasis on performance, scale, data quality, and observability. The role is to lead a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, covering greenfield-to-scale work across data platform, GraphQL APIs, and modern React frontends, while growing a multi-pod team and setting technical direction to deliver GA outcomes for enterprise customers.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where they have a legal entity to support personal goals and priorities. The Jira Service Management (JSM) ITSM Analytics group builds the reporting and analytics platform that turns JSM operational data into actionable insights for IT and service teams, a key differentiator in the ITSM market. The ITSM Analytics team owns JSM's end-to-end reporting surface, including Custom Metrics, JSM Insights (SLA-breach insight engine and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page, spanning frontend dashboards, metric authoring UIs, backend GraphQL APIs, data pipelines, and reporting data infrastructure. This is a high-ownership role shipping across EAP, Beta, and GA while investing in performance, scale, and data quality/observability. The role leads a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, growing a multi-pod team, setting technical direction for a large data domain, and delivering GA-ready outcomes to enterprise customers.

At Atlassian, employees can choose where they work—office, home, or a hybrid—and the company hires in any country where it has a legal entity, supporting personal priorities. As a P70, the role spans cross-domain ownership and influences senior management and cross-functional leaders, with responsibilities to set design direction for agentic experiences and define North Star experiences for agent creation and lifecycle. The job includes shaping Studio strategy, designing cohesive narratives, developing design systems across platforms, and proposing architectural improvements to scale for future challenges. It entails leading end-to-end design on high-leverage, ambiguous problems, maintaining high craft, influencing long-term architecture, partnering with PM and Engineering, and driving AI-native patterns, developer experience, and marketplace mechanics, along with research, prototyping, and formative/summative planning. Additional duties include mentoring designers, participating in hiring, championing inclusive design and accessibility, modeling AI-native ways of working, building consensus with senior stakeholders, and representing Design in the rooms where ecosystem decisions are made.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever there is a legal entity. As a Principal-level (P70) designer, you have cross-domain, cross-functional ownership and influence over senior management, shaping design direction, North Star experiences for agent creation and lifecycle, Studio strategy, and cohesive narratives that align teams to roadmaps. You will design systems that unify agents, apps, and automations into a coherent experience, propose scalable architectural improvements, lead end-to-end design on high-leverage, ambiguous problems, maintain exceptional craft, and influence long-term architecture with PM and Engineering, while bringing an informed point of view on AI-native patterns, developer experience, and marketplace mechanics. You drive research, data, and prototyping at the portfolio level, plan formative and summative research, synthesize insights into clear directions, champion rapid prototyping and iterative testing, and multiply the team by coaching mid- and senior-level designers and participating in hiring. You champion inclusive, accessible design, embed accessibility practices across systems and reviews, adopt AI-native ways of working within the Ecosystem & Marketplace design team, build consensus among senior stakeholders, rally cross-functional teams around a shared vision, and represent Design in the rooms where the biggest ecosystem decisions are made.

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, allowing Atlassians to work from an office, home, or a combination, and hires in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive the adoption and long-term growth of the DX product (getdx.com) for enterprise customers. The role serves as the post-sale technical authority, leading technical implementation, onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dive sessions, mapping the DX platform to a client’s workflows, designing tailored integrations, and asking targeted questions to optimize deployment. The position also acts as a trusted advisor on best practices for DX analytics and deployment, while capturing customer feedback to inform the product roadmap.

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

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

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

Atlassian offers flexible work options and can hire globally where it has a legal entity; the role is based in the United States with a strong preference for Pacific or Mountain time zones and will require regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization focused on Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents collaborate—work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and work closely with engineering and design leadership while maintaining a high quality bar and engaging meaningfully with customers. Key responsibilities include owning the multi-year product strategy for human/agent collaboration in Jira, guiding core Jira experiences, defining AI and agent context, and driving agent adoption through in-product discovery, onboarding, automation, and habitual use. Additional focus areas involve building and scaling the PM organization across three geographies, maintaining an experience-led product management standard, partnering cross-functionally within Atlassian (notably Teamwork Collection and AI groups), and acting as the senior product voice with customers and the market to translate learnings into a durable experience vision.

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

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

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

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

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

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

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

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

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

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

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer for Agentic Search will build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role sits in the Search Relevance team, which brings enterprise search into Atlassian products, third-party AI assistants, and developer workflows, focusing on interpreting intent, planning searches, using tools, and adapting as new evidence becomes available, guided by rigorous evaluation. Responsibilities include delivering agentic search capabilities via APIs and the Model Context Protocol, developing reproducible benchmarks, enabling trustworthy performance comparisons, diagnosing failures, and improving the entire search system based on evaluation results and feedback, while applying advances in LLMs and agent systems. Requirements include a bachelor’s or master’s in CS or equivalent, 4+ years in ML with production experience, strong Python, experience with LLMs/NLP, experiment design, and daily use of AI tools; preferred extras include building tool-using agents, API design for AI agents, reproducible benchmarks, semantic retrieval, and cloud ML environments.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. DX, headquartered in Salt Lake City, Utah, is a fast-growing SaaS company that helps engineering leaders build high-performing teams and collects millions of data points daily to provide insights into developer productivity for clients like Pinterest, GitHub, BNY, and Xero. DX has grown profitably, tripling its annual recurring revenue in recent years, and was recently acquired by Atlassian. Joining Atlassian will expand DX’s resources, accelerate growth and R&D, and increase impact for customers. DX emphasizes individual mastery and high performance; in practice, data engineers build and maintain data pipelines, design data models for AI Impact Reports and benchmarks, collaborate with research and engineering, ensure data quality and consistency, support ad hoc requests, and document schemas, transformations, and dependencies for self-serve analytics.

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

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

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

At Atlassian, you can work where you want—office, home, or a mix—because interviews and onboarding are virtual, the company hires globally, and it operates as a distributed-first business with a mission to help customers win in the digital economy. This is a people-management role in Revenue Operations, serving as the Manager of the Deal Desk for the AMER Strategic Sales segment and leading a team of Deal Managers and Senior Deal Managers responsible for high-value enterprise deals. You’ll oversee deal shaping, quoting, terms structuring, financial analysis, contract management, and booking, while providing strategic advisory to sales, finance, revenue, and legal, mentoring junior analysts, and driving cross-functional initiatives to improve quote-to-cash operations. The role also requires operationalizing new products and pricing, ensuring client-facing documents comply with GDPR, revenue recognition, and SOX, and fostering continuous improvement within the team. Requirements include at least five years in a B2B SaaS-related role, two years in people management, strong Excel skills, willingness to daily video-chat, a BS/BA in a relevant field, and experience with CPQ/QTC tools and platforms like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus governance experience for deal reviews and risk-adjusted evaluations.

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