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Atlassian supports flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity. The opportunity is for a US-based Outbound Product Manager to advance Service Collection by turning High Touch GTM plays into a repeatable product and commercial advantage, collaborating across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. You will own the operating system for priority plays, translate field signals into product strategy, lead cross-functional execution without formal authority, and build scalable mechanisms rather than one-off heroics. Required qualifications include extensive experience in product management or related roles in B2B enterprise software, the ability to turn ambiguous problems into executable plans, and strong written and verbal communication with influence, plus willingness to travel. Preferred qualifications and attributes include familiarity with security/compliance, service management or IT operations, experience building field-to-product mechanisms and enterprise transformation, and being strategic, evidence-led, commercially literate, customer-grounded, low ego, and a system builder.

Atlassian supports flexible work arrangements and hires internationally wherever there is a legal entity, so employees can work from an office, from home, or in a hybrid mix. They are hiring a US-based Outbound Product Manager for Service Collection to convert high-touch GTM plays into a repeatable product and commercial advantage, working across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. The role focuses on Transformation & Compete and Enterprise Trust & Compliance—helping customers move to a modern Service Collection operating model while translating security, governance, data residency, and other regulatory needs into product strategy and proof, acting as a mini GM who shapes the narrative and drives execution without quota-based selling. Key responsibilities include owning the operating system for priority plays with clear plans and governance, turning field signals into product strategy through concise, evidence-backed briefs, leading cross-functional execution without formal authority, and building durable, scalable playbooks and mechanisms. Requirements include significant experience in enterprise-focused product or program roles, the ability to turn ambiguous problems into executable strategy, strong understanding of enterprise buying and compliance concepts, exceptional communication, evidence-based decision-making, influence without formal authority, willingness to travel, and preferred experience in related domains and across distributed teams.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, with hiring in any country where the company has a legal entity. They’re building the Service Collection enterprise service management operating system and are hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and commercial advantage. The role acts as a mini GM with primary focus on Transformation & Compete and Enterprise Trust & Compliance, and is not a quota-carrying seller or conventional product marketing. Key responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable, scalable mechanisms. Candidates should have significant enterprise-focused experience, strong communication and evidence-based decision-making, the ability to influence without formal authority, willingness to travel, and preferred exposure to security/compliance, platform strategy, and distributed US/global teams.

Atlassian supports flexible work locations and hires globally where it has a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection who is not a quota-carrying seller and not a conventional product marketer, but rather a mini-general manager shaping product strategy across many functions to repeat a high-touch go-to-market approach. The role focuses on transforming customers to a modern Service Collection operating model and on enterprise trust and compliance, turning security, data governance, and regulatory requirements into product strategy and proof points. Key responsibilities include owning the operating system for priority plays with governance rhythms, turning field signals into product strategy, leading cross-functional execution, and building durable, scalable mechanisms rather than one-off heroics. Requirements include substantial experience in enterprise B2B product roles and the ability to work with senior stakeholders; preferred qualifications include service management, security/compliance familiarity, field-to-product mechanisms, and experience operating across distributed teams, with attributes like being evidence-led, commercially literate, customer-focused, low ego, and capable of working under pressure.

Atlassian supports flexible work arrangements and hires globally, and is building the next generation of enterprise service management through Service Collection, hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and competitive advantage. The role sits at the intersection of product strategy and field execution, working across many functions and focusing on Transformation & Compete and Enterprise Trust & Compliance to help customers adopt a modern operating model and translate regulatory needs into product strategy and proof. What you will do includes owning the operating system for priority plays with clear plans and cadence, turning enterprise field signals into strategy with concise, evidence-backed briefs, leading cross-functional execution without formal authority, and building durable, scalable mechanisms rather than one-off heroics. Required qualifications include substantial experience in relevant roles in B2B enterprise software, ability to convert ambiguous problems into strategy and executable plans, deep understanding of enterprise software buying/adoption, strong communication, and influence without formal authority, plus willingness to travel. Preferred qualifications include service management or IT ops experience, familiarity with security/compliance concepts (e.g., FedRAMP, GDPR), experience building field-to-product mechanisms and enterprise value/economics, and experience operating across distributed teams, with core attributes being strategic yet operational, evidence-led, commercially literate, technically credible, customer-grounded, low ego, and able to build systems.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country with a legal entity. They are building Service Collection, an enterprise service management operating system, and are hiring a US-based Outbound Product Manager to turn High Touch go-to-market plays into a repeatable product and commercial advantage across product, engineering, sales, solutions engineering, marketing, customer success, finance, legal, security, and leadership. The role is a mini GM focused on transformation and competitive displacement as well as enterprise trust and compliance, owning the operating system for priority plays, translating field signals into product strategy, leading cross-functional execution without formal authority, and building scalable, durable mechanisms. Required qualifications include significant experience in product management or related roles in B2B enterprise software, experience with complex enterprise customers and senior stakeholders, ability to turn ambiguous problems into executable strategy, deep understanding of enterprise software buying and lifecycle dynamics, and excellent written and verbal communication with the ability to influence without authority and travel. Preferred experiences and attributes include service management or IT operations exposure, familiarity with security and compliance concepts, experience building field-to-product mechanisms and competitive intelligence programs, operating across distributed teams, and being strategic yet operational, evidence-led, commercially literate, technically credible, customer-grounded, low ego, and system-building.

Atlassian offers flexible work locations and hires globally where it has a legal entity. They are building Service Collection and are hiring a US-based Outbound Product Manager to convert High Touch GTM plays into a repeatable product and competitive advantage, working across Product, Engineering, Sales, and other teams. The role focuses on Transformation & Compete and Enterprise Trust & Compliance, translating security, governance, and regulated requirements into strategy and roadmaps, and acts as a non-quota, cross-functional mini GM at the product-field intersection. Key responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building scalable mechanisms rather than one-off outputs. The ideal candidate has significant enterprise product/strategy experience, the ability to structure ambiguous problems, strong communication and analytical skills, willingness to travel, and preferred experience in service management, security/compliance, and field-to-product programs, plus attributes like being evidence-led, customer-grounded, low ego, and a system builder.

Atlassian offers flexible work arrangements and can hire people in any country where it has a legal entity. They are seeking a Principal Software Engineer (P60) in the Rovo & AI engineering org to serve as the lead technical architect for next-generation third-party connectors (enterprise integrations). The mission is to build, harden, and scale connectors that ingest enterprise knowledge, map complex access permissions, and feed high-fidelity signals to enhance Atlassian’s AI experiences like Search, Chat, and Agents under Rovo. Responsibilities include defining the technical vision and roadmap for connector architecture, scaling high-throughput data ingestion and delta-sync pipelines, standardizing execution patterns with shared runtimes, accelerating engineering via AI, enabling downstream AI experiences with improved context for RAG and enterprise search, and establishing SLOs and observability for reliability. The role also involves mentoring engineers, authoring technical designs and RFCs, and providing ongoing technical guidance.

Atlassian lets employees choose where to work (office, home, or hybrid) and hires in any country where they have a legal entity. The role is Principal Software Engineer (P60) in the Rovo & AI engineering org, serving as the lead technical architect for next-generation third-party connectors for enterprise integrations. The mission is to build, harden, and scale connectors that reliably ingest enterprise knowledge, map complex access permissions, and feed high-fidelity signals to Atlassian’s AI experiences like Search, Chat, and Agents under Rovo. Responsibilities include defining the technical vision and roadmap for connector architecture, designing high-throughput ingestion and delta-sync pipelines, and standardizing runtimes with shared orchestration patterns. They also focus on accelerating engineering with AI-assisted workflows, enabling downstream AI experiences with structured context for RAG and enterprise search, establishing SLOs and observability, and mentoring engineers through architecture reviews and RFCs.

- Atlassian offers flexible work locations and hires globally wherever it has a legal entity. - The Principal Software Engineer (P60) in the Rovo & AI org will serve as the lead technical architect for the next-generation third-party connectors for enterprise integrations, building systems that ingest enterprise knowledge, map complex access permissions, and feed signals to AI experiences like Search, Chat, and Agents under Rovo. - Responsibilities include defining the technical vision and architectural roadmap for building, scaling, and modernizing connectors across major SaaS ecosystems, and architecting high-throughput data extraction and delta-sync pipelines for near real-time processing of documents, transcripts, chat threads, and activity signals. - The role also involves standardizing execution and runtimes with platform teams, accelerating engineering productivity via AI-assisted workflows, and enabling downstream AI experiences by structuring third-party context for RAG retrieval and enterprise search. - Additional duties include operationalizing reliability with SLOs, observability, and error budgets to ensure data freshness and resilience, plus mentoring engineers through technical designs, RFCs, and architecture reviews.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The company is seeking a Principal Software Engineer (P60) in the Rovo & AI engineering org to serve as the lead technical architect for next-generation third-party connectors and enterprise integrations. Their mission is to build, harden, and scale connectors that reliably ingest enterprise knowledge, map complex access permissions, and feed high-fidelity signals to Atlassian’s AI experiences such as Search, Chat, and Agents under Rovo. Key responsibilities include defining the technical vision and architectural roadmap for connectors, designing high-throughput ingestion and delta-sync pipelines, standardizing orchestration and runtimes with platform teams, accelerating AI-assisted development, enabling downstream AI experiences with well-structured third-party context for RAG retrieval and enterprise search, and ensuring data freshness and resilience through SLOs and observability. The role also involves mentoring engineers, authoring high-impact technical designs and RFCs, and leading architecture reviews.

Atlassian supports flexible work arrangements (office, home, or a hybrid) and hires in any country where it has a legal entity. The position leads a team of enterprise Account Executives to achieve sales targets and revenue goals, develops strategic plans to penetrate and expand the enterprise market, and mentors the sales team to meet individual targets. It also involves setting performance metrics, recruiting and onboarding new sales members, collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes, analyzing sales data and market trends, conducting evaluations, managing key client relationships, negotiating as needed, and reporting progress to senior management. Qualifications include 10+ years in sales with 5+ years in management (preferably as a second-line Sales Leader), a strong track record of meeting or exceeding targets, experience with CRM, pipeline management, and analytics tools, and fluency in French preferred; plus experience in value-driven, solution-oriented consultative selling and building relationships with senior stakeholders. The ideal candidate enjoys challenging the traditional sales model, thrives in a fast-paced international environment, takes initiative, experiments, and shares findings with the team.

At Atlassian, employees can work in an office, from home, or a combination, and the company hires people in any country where it has a legal entity. The role leads and manages a team of enterprise Account Executives to achieve sales targets and revenue goals, develops strategic plans to expand enterprise market share, and provides mentorship to the sales team. Responsibilities include setting performance goals, monitoring progress, recruiting and onboarding new sales staff, and collaborating with internal teams (Channel Partners, Product Specialists, Account Managers, and Solution Engineers) to streamline processes and enhance customer satisfaction. The position also involves analyzing sales data and market trends, conducting performance evaluations, managing key client relationships, and delivering regular updates on sales performance to senior management while staying informed about industry trends. Qualifications cover 10+ years in sales with 5+ years in management, preference for second-line Sales Leader experience, a strong track record of targets, CRM/pipeline/analytic skills, French fluency preferred, and a proven ability to coach and lead in consultative, value-driven selling within a fast-paced international environment.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity to support employees’ family and personal goals. They’re looking for a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, and building accessible UI in React and TailwindCSS. The role involves end-to-end feature work in a scalable, cross-geo environment, shipping high-quality code, shaping problems with product and design, and measuring impact. Responsibilities include building robust REST APIs, contributing to customer-facing UI, code reviews for readability, testing, reliability, security, and performance, collaborating with product/design, ensuring observability and Agile participation, writing performant SQL for complex queries and data workflows, and owning projects end-to-end. The position emphasizes high quality, comprehensive tests, monitoring/alerting, and contributing to engineering practices, tooling, data correctness, reporting, and reliability.

Atlassian offers flexible work locations, allowing in-office, remote, or hybrid arrangements, and they hire in any country where they have a legal entity. The role is for a senior full-stack engineer to support the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS. You’ll own end-to-end features from shaping problems with product and design to shipping code and measuring impact, within a highly scalable, cross-geo environment. Responsibilities include building robust REST APIs, contributing to customer-facing UI, and reviewing code with a focus on readability, testing, reliability, security, and performance, plus ensuring visibility and monitoring of backend services. You’ll collaborate closely with product, design, and other engineers, participate in Agile rituals, write performant SQL for complex queries, and own projects end-to-end with a high bar for quality and continuous improvement of engineering practices.

At Atlassian, employees can work from the office, from home, or in a hybrid setup, with global hiring in any country where the company has a legal entity. The company is looking for a Sales Leader to oversee a team focused on acquiring and managing large enterprise customers, developing enterprise-specific sales strategies, cultivating long-term key accounts, and achieving revenue targets. This role collaborates with internal teams, Channel Partners, Product Specialists, Account Managers, and Solution Engineers to refine sales processes and improve customer satisfaction while recruiting top sales talent and fostering a high-performance culture. The leader will manage 6-10 enterprise sales account executives, design strategic plans to expand enterprise market share, provide coaching, set performance goals, monitor progress, and onboard new hires as needed. They will also analyze sales data and market trends, conduct regular performance evaluations, manage key client relationships and negotiations, report sales performance to senior management, and stay informed about industry dynamics within the enterprise segment.

Atlassian offers flexible work locations—office, home, or hybrid—and hires globally where it has a legal entity. They are seeking a Sales Leader to oversee a team focused on acquiring and managing large enterprise customers, developing and implementing enterprise-specific sales strategies and fostering long-term relationships to achieve revenue targets. The role involves collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to refine sales processes and enhance customer satisfaction, as well as recruiting top sales talent and cultivating a high-performance culture. The leader will manage a team of 6–10 enterprise sales account executives, develop strategic plans to penetrate and expand the enterprise market, and provide mentorship to help the team reach their individual targets. Responsibilities also include setting performance metrics, hiring and onboarding new team members as needed, analyzing sales data and market trends, managing key client relationships and negotiations, and providing regular updates to senior management while staying informed about industry dynamics.

At Atlassian, the mission is to unleash the potential of every team by revolutionising software development, helping global customers like Williams Racing, NASA, Nike, Pixar and Tesla advance humanity through software and collaboration, and building a multi-billion-dollar, fast-growing business with over 300,000 paying customers, hundreds of implementation partners, and millions of users. Our culture is open, welcoming, collaborative, and passionately focused on our customers’ success. As an Enterprise Account Executive, you will develop and implement a territory and named account plan to grow adoption of Atlassian’s portfolio with large enterprise customers and act as a champion for customers, uncovering additional value for their organisations. You will work across a territory in India, coordinating with Channel Partners, Product Specialists, Marketing, and internal teams (Sales Development, Customer Success) to maintain full account ownership and execute effective sales strategies with external partners and our Technical Account Managers. You will educate customers on the value of Atlassian’s Cloud-based System of Work, including AI, Scaled Agile, Enterprise Service Management, Work Management and DevOps solutions, regularly exceed quotas through coordinated engagements, and embody a collaborative approach to continuously improving how we serve customers.

Atlassian aims to unleash the potential of every team and has built a multi-billion-dollar software business with 300,000+ paying customers, millions of users, and a culture focused on customer success. As an Enterprise Account Executive, you will develop and implement a territory strategy to drive growth and adoption of Atlassian’s solutions with its largest enterprise customers, while advocating for customer needs and uncovering additional value. You’ll work across a territory of major India-based customers in close coordination with Channel Partners, Product Specialists, and Marketing to position value and elevate existing relationships. Responsibilities include creating territory and named account plans, owning accounts, coordinating with Solution Engineering, Sales Development, Customer Success, and Partners, and engaging in regular executive meetings and events. You’ll educate customers on Atlassian’s Cloud-based System of Work, including AI, Scaled Agile, Enterprise Service Management, Work Management, and DevOps, regularly exceed quotas, and demonstrate open collaboration to help Atlassian better serve customers.

Deviniti is seeking a Sales & Strategy Advisor (Head of Sales) who aims to make a real impact on how clients work and compete, with a focus on the Atlassian ecosystem, Atlassian Rovo, Teamwork Graph, and AI agents as the modern workplace foundations. The role is responsible for driving Professional Services sales targets, leading the sales team (with Pre-Sales and Delivery units), and shaping service offerings to support Atlassian cloud transformation. Key duties include building client value to increase lifetime value, owning annual revenue targets, empowering the B2B sales team, managing 2–3 strategic accounts, and translating market insights into portfolio direction for Delivery and Marketing. Candidates should have hands-on strategic account experience, proven success selling complex B2B IT services to Enterprise clients, cross-selling/LTV expertise, mature leadership, and know-how with modern sales methodologies (MEDDPICC/Solution Selling) plus KPIs/OKRs, with English C1 and Polish C2; Atlassian ecosystem familiarity is a plus. Deviniti offers high autonomy, direct executive access, comprehensive benefits, and a remote-friendly model, plus a 5-stage recruitment process led by Wiola (CV screening, phone interview, two in-person interviews, and final decision about two weeks after), with further company information and whistleblower protections available.

Deviniti is hiring an Enterprise Transformation Advisor (AI & Digital) to work remotely with frequent travel, joining a team of Digital Transformation experts led by Tomasz Stankiewicz, focusing on strategic advisory, AI, digital transformation, and Deviniti solutions (Cloud, Atlassian) to shape digital consulting in Poland. The role is non-managerial and entails acting as a business and strategic partner to large enterprise organizations, building trusted relationships with C-level stakeholders to diagnose challenges, design strategy, and implement changes with measurable impact. Key responsibilities include Strategy and Diagnosis (process audits for Enterprise clients, transformation roadmaps, business cases) and Implementation and Adoption (coordinating implementations, ensuring adoption, building a culture of change, educating client teams), plus active C-level advisory and delivering measurable outcomes. Ideal candidates have at least 10 years of enterprise experience, have led transformations in financial, banking, or energy sectors, and possess technical knowledge of ML, GenAI, cloud architecture (Azure/AWS/GCP), SDLC/PDLC, IT risk management, with the ability to run workshops for executives and understand Responsible AI and data protection; nice-to-have certifications (TOGAF, ITIL, PMP, Lean Six Sigma) and experience developing business cases. Deviniti emphasizes wellbeing, skill development, feedback culture, flexible work, CSR via Deviniti Cares, and whistleblower protection; the recruitment process has five stages: CV screening, phone interview, online interview, on-site interview in Wrocław, and a final decision about two weeks after the interview, with applications welcome via their site.

Deviniti is seeking a Senior Account Executive with 4–5 years of B2B IT sales experience, focusing on selling Professional Services, consulting, and software development to mid-market and enterprise clients (not merely body leasing or license sales). The role involves building and expanding relationships with existing clients, acquiring new projects, and guiding the full sales process from discovery to contract for complex IT projects and services, including Atlassian, GenAI, data, and custom software. You won’t be selling off-the-shelf products; instead you’ll translate clients’ business needs into tailored solutions, coordinating with consultants, Presales, and Delivery to develop proposals, estimates, and presentations, and applying a MEDDPICC-based pipeline approach. Working in the Revenue Unit, you’ll collaborate across teams, with opportunities to grow existing accounts through upselling and cross-selling, and enjoy flexible remote work, wellbeing programs, training, hobby groups, and CSR through Deviniti Cares. The recruitment process, led by Wiola, consists of CV screening, a phone interview, an online interview, a recruitment meeting at the Wroclaw office, and a final decision about two weeks after the interview.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. It is seeking a strategic, highly analytical Finance professional to own financial planning and management for AI infrastructure and token finance, responsible for forecasting, budgeting, and modeling for the Central AI team, in partnership with Engineering, Product, BizOps, and other Finance leadership. The role requires developing a deep understanding of AI economics—adoption, usage, token consumption, model mix, vendor pricing, and efficiency levers—and translating these into COGS, unit economics, and gross margin implications, along with scenario modeling and strategic ad hoc analyses. You will proactively drive process improvements, scale current financial models, data and tooling (in partnership with Cloud Finops) and related systems and processes; and you should be comfortable operating in ambiguity and delivering timely directional insights. The ideal candidate will have 10+ years of experience in complex financial modeling, driver-based forecasting, and long-range planning; experience with software and cloud infrastructure economics; knowledge of LLM/token economics or comparable consumption-based models; strong analytical judgment; excellent executive communication; a high say/do ratio; attention to detail; and the ability to thrive in a fast-paced environment where priorities can shift.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity to help employees manage family, personal goals, and priorities. They are looking for a strategic, highly analytical Finance professional to own financial planning and management for Central AI's infrastructure and token finance, partnering with Engineering, Product, Business Operations, and Finance leadership. The role will forecast, budget, and model for AI infrastructure and token spend, including annual and long-range planning, scenario analyses, and ad hoc analyses to inform key business decisions, in a context of shifting usage patterns, model mix, vendor economics, and technology. The ideal candidate is comfortable operating in ambiguity, can translate large data into actionable insights, and has the judgment to know when deeper analysis is required versus providing a timely directional answer. Requirements include 10+ years of complex financial modeling and driver-based forecasting, experience in software and cloud economics with the ability to translate cost drivers into COGS and margins, knowledge of LLM/token economics or comparable consumption-based models, strong analytical judgment, independence in ambiguity, excellent executive communication, and a high say/do ratio in a fast-paced environment.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. They are seeking a strategic, highly analytical Finance professional to own financial planning and management for our rapidly evolving AI infrastructure and token finance, for the Central AI team, partnering with Engineering, Product, BizOps, and other Finance leadership. Responsibilities include forecasting, budgeting, financial modeling for AI infrastructure and token spend, long-range planning, scenario analyses, and ad hoc analyses that inform key business decisions, translating drivers like adoption, token consumption, model mix, and vendor pricing into COGS and unit economics. The role involves proactively driving process improvements, scaling current financial models, data and tooling with Cloud FinOps, and influencing investment and operating decisions through financial thought leadership. Requirements include 10+ years of complex financial modeling experience, software industry and cloud infrastructure cost driver experience, knowledge of LLM/token economics or similar consumption-based models, strong analytical judgment, comfort operating in ambiguity, and excellent executive communication and a high say/do ratio in a fast-paced environment.

As a Principal ML Engineer, you drive the development and implementation of cutting-edge ML algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into Atlassian products and services. Your daily responsibilities span designing system and model architectures, conducting rigorous experimentation and evaluations, and guiding emerging ML engineers. The role emphasizes technical leadership and execution, tackling the largest and most complex problems, setting the direction of systems, and planning large projects and architecture challenges. You will design, develop, and deploy production-grade ML models (such as ranking, retrieval, and LLM-based systems) to optimize user experience and business objectives, with robust feature engineering and end-to-end deployment, monitoring, and improvement. You will collaborate cross-functionally with product managers, designers, and engineers, mentor others, share knowledge at scale, and make decisions that balance speed, risk, and impact across multiple teams and programs.

As a Principal ML Engineer, you'll drive development and implementation of cutting-edge ML algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI capabilities into Atlassian products and services. Your responsibilities include designing system and model architectures, conducting rigorous experimentation and evaluations, and mentoring emerging ML engineers to ensure AI's transformative potential across offerings. You will exercise technical leadership by tackling the largest, most complex problems, setting direction for systems and capabilities, and solving architecture challenges across quarters. In model development, you will design, deploy production-grade ML models (ranking, retrieval, LLM-based systems), perform meticulous experiments, engineer robust features, and oversee end-to-end deployment with ongoing evaluation and monitoring. You will collaborate cross-functionally with product, design, and engineering teams, communicate complex concepts to diverse stakeholders, mentor others, contribute to scalable programs, and make decisions that balance speed, risk, and impact to fit into larger products and platforms.

Appfire is a remote-first company with 800+ employees across 28 countries, offering software that helps teams collaborate, with flagship products such as JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. The Solutions Platform Engineer role will own and run the technical infrastructure for the Solutions Group, including demo environments, self-service sandboxes for Solution Partners, and automation to reduce overhead and accelerate time-to-demo, plus transitioning field prototypes to production with Engineering and DevOps. Key responsibilities include end-to-end demo estate management (Atlassian provisioning, seeded data, multi-product environments), building sandbox environments, maintaining knowledge bases for security and trust, and monitoring health and capacity. Requirements include 3+ years in platform engineering/DevOps, Atlassian Cloud/Data Center administration, experience with self-service demos, automation and scripting, Docker/Kubernetes and CI/CD, ownership of tools and prototypes, and strong cross-team communication. Benefits include equity, extensive vacation and wellbeing days, volunteering, learning via Appfire University, private healthcare and life insurance, lifestyle perks and remote-work stipends, along with recognition from Deloitte, Inc., BuiltIn, and Inc. 5000 as a top employer; Appfire is an equal opportunity employer.

Appfire is a remote-first software company with 800+ employees across 28 countries, focused on helping teams collaborate and break silos, with flagship products including JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture, plus customer stories available in their resources library. The Solutions Platform Engineer role will build and run the technical infrastructure for Appfire’s Solutions Group, own demo environments end-to-end, create self-service sandboxes for Solution Partners, automate processes to free Sales Engineers and Solutions Architects to engage with customers, and transition field prototypes into production in collaboration with Engineering and DevOps. Responsibilities include managing the demo estate (Atlassian provisioning, seeded data, multi-product references, refresh/teardown), building self-service sandboxes, implementing automation to reduce overhead and speed time-to-demo, maintaining security questionnaires and knowledge bases, running the Instance Optimization inventory and pricing pulls, and owning prototypes as they graduate to production with defined hosting and support models while monitoring health and capacity. Requirements are 3+ years in platform engineering/DevOps, hands-on Atlassian Cloud/Data Center administration, experience with self-service demo environments and lifecycle management, strong infrastructure automation and scripting skills (Python/Bash), containerization with Docker/Kubernetes and CI/CD, ownership of tools/prototypes for production, and excellent written communication and cross-functional collaboration. Benefits include equity for all employees, 25 days of annual leave with carryover options, flexible summer hours and bank holidays, fully remote work in Spain with a Bilbao office option, Appfire University for learning, private health insurance, a €400 annual sport allowance, €50/month remote-work stipend, 3 fully paid volunteering days per year, plus recognition in Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000, and a commitment to equal opportunity employment.

Appfire is a remote-first software company with 800+ employees across 28 countries, offering products like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture, and it emphasizes flexible work arrangements. The Solutions Platform Engineer role will build and run the technical infrastructure for Appfire’s Solutions Group, own demo environments end-to-end, create self-service sandboxes for Solution Partners, and automate processes to free up Sales Engineers and Solutions Architects. It also involves transitioning field-built prototypes into production by partnering with Engineering and DevOps, with a focus on reducing technical overhead, improving time-to-demo, and creating scalable solutions infrastructure. Responsibilities include managing the demo estate (Atlassian provisioning, seeded data, multi-product references), maintaining self-service sandboxes, building automation, supporting security questionnaires and trust materials, and defining graduation criteria for prototypes while monitoring environment health. Requirements include 3+ years in platform engineering/DevOps, hands-on Atlassian Cloud/Data Center experience, self-service demo environment development, IaC, Docker/Kubernetes, CI/CD tooling, ownership of tools, and strong cross-functional collaboration, with the role being fully remote within Bulgaria and offering equity, extensive time off and wellness benefits, learning opportunities, health and transportation perks, and a commitment to equal opportunity.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than 50% of the Fortune 100, with AI embedded as a core productivity multiplier across the company. The organization emphasizes a high-performance, values-driven culture where careers accelerate, innovation flourishes, and every voice is valued through continuous knowledge exchange and collaboration with industry leaders. The Engineering Manager, Production Engineering - Observability role leads a globally distributed team that builds and operates metrics, logging, alerting, and capacity planning platforms for GitLab.com and GitLab Dedicated, focusing on reliability, scalability, cost, incident response, and sustainable on-call practices. Requirements include experience leading observability/SRE teams at scale, expertise with Prometheus and long-term storage, logging, SLOs, and capacity forecasting, plus experience handling production issues and on-call rotations; applicants from varied backgrounds are encouraged, including those who have used AI tools in engineering work. GitLab is an equal opportunity, remote-friendly employer with global hiring, offering benefits such as flexible PTO, equity, parental leave, growth funding, and a commitment to privacy and accommodation during recruitment.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where they have a legal entity. Atlassian's DX Solutions Engineering team seeks a Solutions Architect to drive successful adoption and long-term growth of the DX product (getdx.com) for Enterprise customers. The role will lead post-sales technical implementation, partnering with Customer Success Managers to handle onboarding, complex integrations, and system architecture for a smooth transition from evaluation to production. It involves architecture and strategy work, including deep-dive sessions to map the DX platform to the client’s workflows and designing custom solutions that connect DX APIs to complex environments. Additional duties include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and feeding feedback to Product and Engineering to inform the roadmap.

Atlassian supports flexible work options, allowing employees to work in an office, from home, or in a hybrid setup, and hires in any country where it has a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a skilled Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com). The role acts as the technical authority for Enterprise customers after the sale, focused on solving complex implementation challenges and ensuring maximum value from the solutions. Key responsibilities include leading technical implementation—onboarding, complex integrations, and system architecture—plus architecture and strategy sessions to align the DX platform with a customer’s goals and designing custom solutions that connect DX APIs to client environments. Additional duties involve consultative implementation, acting as a trusted advisor on best practices, and capturing feedback to inform the product roadmap and enhancements.

Atlassian offers flexible work options (office, remote, or a blend) and hires in any country where it has a legal entity. Search Platform's mission is to power trusted, cross-product knowledge search for people and agents, with agentic search pushing AI search boundaries and redefining context search. In this role, you'll lead the search and ML architecture that determines quality, latency, cost, and reliability at scale and set the department's technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval, inference, serving infrastructure), driving improvements via rigorous experimentation, pursuing ambitious moonshots, leading end-to-end model optimization, and defining ML systems standards, while mentoring senior engineers. You'll partner with Search Quality, ML Platform, and product teams to align roadmaps and translate ambiguous problems into clear technical bets with measurable success criteria.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. The Search Platform's mission is to power trusted cross-product knowledge search and discovery across Atlassian surfaces, with agentic search pushing the boundaries of current systems. The role will lead the search and ML architecture governing search quality, latency, cost, and reliability at scale and define the department's technical direction. Responsibilities include setting ML-based search serving direction (ranking models, retrieval, inference pipelines, serving infrastructure), driving measurable improvements, pursuing ambitious moonshots, and end-to-end model optimization plus ML systems standards. It also involves mentoring senior engineers, partnering with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity. Search Platform's mission is to power trusted cross-product knowledge search and discovery for people and agents across Atlassian surfaces, with Agentic search pushing the boundaries of context search and AI. The role will lead the ML-based search architecture that drives search quality, latency, cost, and reliability at scale and set the department's technical direction. Responsibilities include setting technical direction for ranking models, retrieval architectures, inference pipelines, and serving infrastructure; driving improvements through rigorous experimentation; pursuing moonshots; and end-to-end model optimization with production observability. It also involves mentoring senior engineers, partnering across teams to align roadmaps and unblock high-impact work, and translating ambiguous problems into clear, measurable technical bets.

At Atlassian, employees can work from an office, from home, or a mix, and the company hires globally where it has a legal entity. The Search Platform mission is to power trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of what’s possible today. The role involves leading the search and ML architecture that powers search quality, latency, cost, and reliability at scale and setting the department’s technical direction. Responsibilities include setting ML-based search serving direction, driving measurable improvements through experiments, pursuing ambitious moonshots, end-to-end model optimization, and enforcing ML systems standards. The role also entails mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian allows employees to work anywhere—office, home, or a hybrid—and hires globally where they have a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search and discovery for people and agents, with agentic search aiming to redefine AI context search. The role involves leading the search and ML architecture that drives search quality, latency, cost, and reliability at scale and setting the department’s technical direction. Responsibilities include defining ML-based search serving (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving improvements through rigorous experimentation, pursuing ambitious moonshots, end-to-end model optimization, and establishing ML system standards like evaluation, shadow testing, rollout safety, and observability. It also entails mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams to align roadmaps, unblock high-impact work, and translate ambiguous problems into clear, measurable technical bets.

Atlassian offers flexible work options—office, remote from home, or a hybrid—and hires globally in countries where it has a legal entity. You will join the Rovo Chat Quality team within the Rovo + AI organization, working to turn “make Rovo better” into lasting customer value by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll stay hands-on while guiding cross-team efforts to advance models, agents, and evaluation, translating them into measurable improvements for millions of active users and building scalable production ML and evaluation systems (datasets, simulations, automated judges, regression suites, experimentation platforms, and online signals). You’ll push Rovo’s agentic capabilities—reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution—while closing the loop between evaluation and product impact by identifying failure modes, shipping interventions, and validating customer outcomes. The ideal candidate has a track record shipping large-scale ML/AI systems with measurable business impact, deep experience with LLM-powered products and agentic systems, strong production engineering and leadership skills, and the ability to communicate clearly and mentor others.

Atlassian lets you choose where you work and hires in any country where it has a legal entity, as it builds Rovo—an intelligent teammate designed to shape the next era of AI-assisted teamwork. You’ll join the Rovo Chat Quality team to turn “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, driving advances in models, agents, and evaluation to deliver measurable improvements for millions of active users. You’ll architect and scale production ML and evaluation systems—datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals—balancing quality with latency, reliability, safety, and cost. The role requires a track record of shipping large-scale ML/AI systems with measurable customer and business impact, deep experience with LLM-powered products and agentic systems, strong production engineering, and technical leadership to mentor and align teams.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires in any country where they have a legal entity, serving more than 300,000 customers worldwide. The company’s mission is to unleash every team’s potential through software, guided by a culture of supporting each other and the value “play as a team,” with employees working with Atlassian, not for Atlassian. The sales role features strong earning potential and targets a vast enterprise market, focusing on building relationships with key stakeholders and collaborating with internal teams to ensure customer success. Responsibilities include developing named account or territory plans, executing strategic sales efforts, qualifying leads, presenting to decision-makers, negotiating contracts, closing deals, and providing accurate forecasting while maintaining executive relationships. Additional duties involve staying industry-aware, traveling to meet clients, building long-term sales strategies for designated accounts, and working cross-functionally with channel sales to navigate complex sales cycles and drive revenue growth.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, serving 300,000+ customers worldwide. Their mission is to unleash the potential of every team through software, supported by a culture of teamwork—“play as a team”—where employees work with Atlassian, not for Atlassian, and there is strong earning potential in sales due to the enterprise market. The sales role involves building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction. The ideal candidate is customer-focused, creative, with a hunter mindset, adept at identifying business needs and crafting solutions for Fortune 500 companies. Responsibilities include developing and executing territory or named-account plans, leading strategic sales initiatives, qualifying leads, maintaining executive relationships, cross-functional collaboration, pricing negotiations, accurate forecasting, staying updated on industry trends, traveling as needed, and running strategy plays to identify opportunities and build long-term relationships in complex sales cycles.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, serving 300,000+ customers and aiming to unleash every team’s potential through collaborative software, with a culture where employees work with Atlassian, not for Atlassian. The company emphasizes teamwork, celebrating wins and sharing knowledge, and provides strong earning potential for sales roles in a large enterprise market, with customers including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola. The sales role focuses on building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction for Fortune 500 clients. You’ll develop and implement named account or territory plans, craft strategic sales plans to meet goals, identify leads, present solutions, negotiate pricing, close deals, and provide accurate forecasting and account planning, while staying abreast of industry trends. The role requires travel as needed, serving as the main Atlassian contact or escalation point for designated accounts, running strategy plays, and working cross-functionally with Channel sales to manage complex sales cycles and build long-term relationships and revenue.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity to support employees' priorities. They’re seeking product-minded Principal Engineers, a hands-on senior individual contributor role that sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs), shaping what gets built and shipping measurable outcomes. Responsibilities include defining success metrics (north star and guardrails), instrumenting and monitoring with telemetry, running root-cause deep-dives, and designing AI-enabled and agentic experiences that integrate LLMs. You’ll set technical direction, influence product strategy, mentor others, and drive high-leverage prototyping to production-grade, scalable solutions.

Atlassian allows flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to blend deep technical craft with sharp product judgment and own the work end to end. In this role you’ll own customer-facing products across the full stack—from React/TypeScript front ends to backend services and APIs—and drive architecture and decisions based on user and business outcomes. You’ll use telemetry and user data to define success metrics, monitor performance, perform root-cause analyses, and adjust plans as needed, while designing and building AI-enabled, agentic experiences that integrate LLMs for millions of users. The role also involves setting technical direction, collaborating with product managers, designers, and platform teams, mentoring others, and rapidly prototyping to production-grade, scalable solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. They are looking for product-minded Principal Engineers for a hands-on, senior individual-contributor (P60) role who blend deep technical craft with sharp product judgment. You will own customer-facing products end-to-end across the full stack (React/TypeScript front ends, backend services, APIs) and drive what gets built to achieve measurable outcomes. You’ll use telemetry and user behavior to define success metrics, instrument and monitor, perform root-cause analyses, iterate, and design AI-enabled experiences integrating LLMs for millions of users. You’ll set technical direction, influence product strategy, collaborate with product managers, designers, and platform teams, and raise the engineering bar through code reviews and mentoring while moving high-leverage problems from prototypes to production-ready scale.

Atlassian offers flexible work options (office, home, or a mix) and hires globally in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. They’re seeking product-minded Principal Engineers—a hands-on P60 individual contributor who sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing products end to end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering AI-native and agentic experiences used by teams worldwide. Responsibilities include setting architecture and technical direction to align with user and business outcomes, using telemetry and metrics to define success, instrumenting and analyzing data, and refining designs accordingly. You’ll lead by craft, raise the engineering bar through code reviews and mentoring, partner with product managers, designers, and platform teams, and focus on high-leverage problems, rapid prototyping, and production-grade scale.

Atlassian offers flexible work locations and hires globally in any country with a legal entity, giving employees control over work-life priorities. They are seeking product-minded Principal Engineers—hands-on senior individual contributors who blend deep technical craft with sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs) and help shape what gets built, not just how. Responsibilities include making architecture and technical decisions aligned to user and business outcomes, using telemetry to define success metrics, and designing AI-enabled experiences that leverage LLMs for millions of users. You’ll set technical direction, collaborate with product managers, designers, and platform teams, elevate engineering quality through code reviews and mentoring, and move high-leverage prototypes toward production-scale systems.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity to support employees' family and personal goals. They’re looking for product-minded Principal Engineers — senior individual contributors who operate at the intersection of deep technical craft and sharp product judgment and own customer-facing products end-to-end. You’ll own features across the full stack (React/TypeScript front ends, backend services, and APIs), shape what gets built, and drive projects from ambiguous problems to shipped, measurable outcomes. You’ll design AI-enabled, agentic experiences by integrating LLMs, define success metrics, instrument and monitor outcomes, and set technical direction in collaboration with product managers, designers, and platform teams. You’ll raise the engineering bar through code reviews and mentoring, focus on high-leverage problems, prototype quickly, and push prototypes to production-grade quality at scale.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, giving them greater ability to support family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by introducing cutting-edge innovations and building agent harnesses that substantially improve quality, reliability, and latency. You’ll lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results, while ensuring AI’s transformative potential across Atlassian’s offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, and the team has achieved 10x growth in product surface over the past year.

At Atlassian, employees can work in an office, from home, or a hybrid, giving them flexibility to support family, personal goals, and priorities. The company hires globally in any country where it has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat, Atlassian’s biggest bet and fastest-growing area, bringing cutting-edge innovations to the product. You’ll build agent harnesses that improve quality, reliability, and latency, lead other engineers from design to launch, and collaborate with other teams and internal customers to set expectations and communicate results, while ensuring AI’s transformative potential across offerings. The Rovo & AI Engineering team aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on knowledge, and they’ve achieved 10x growth in the product surface over the past year.

Atlassians can choose where they work—office, home, or a hybrid—and the company hires in any country where it has a legal entity. The role is Principal ML System Engineer in the Rovo & AI Engineering org, focused on Rovo Chat and delivering bleeding-edge innovations to the product. You will lead other engineers from technical design to launch, build agent harnesses to improve quality, reliability, and latency, and collaborate with other teams and internal customers to set expectations and communicate results. The role is pivotal and aims to realize AI’s transformative potential across Atlassian’s offerings. The Rovo & AI Engineering team’s mission is to make Rovo the fastest, most trusted way to find, understand, and act on knowledge, with the product surface growing 10x over the past year due to their efforts.

Atlassians can work in an office, from home, or in a hybrid model to better support family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat—Atlassian’s biggest bet and fastest-growing area—by bringing cutting-edge innovations and building agent harnesses that dramatically improve quality, reliability, and latency. You will lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations and communicate results, with your role extending beyond these tasks to realize AI’s transformative potential across offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for any team to find, understand, and act on their organization’s knowledge, and the team has achieved rapid progress, including a 10x growth in the product surface over the last year.

Atlassians can choose where they work—office, home, or a blend—and this flexibility supports family, personal goals, and other priorities, with hires possible in any country where Atlassian has a legal entity. As a Principal Engineer with the Deep Engineer archetype in the 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 the platform’s architecture and direction while weighing trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience, all while staying close to the code and operational reality. You will influence across teams and geographies, partner with product and engineering leaders, and raise engineers’ effectiveness through coaching, design leadership, and practical engineering standards; success will be judged by sustained outcomes—safer workloads, faster iteration, reliable services, and broad leverage across Atlassian. Responsibilities include defining and delivering 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, and owning end-to-end outcomes for ambiguous cross-team initiatives from design and prioritization to launch, adoption, and measurable results. You will advance portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform (reliability, security, privacy, incident learning, performance, and cost efficiency), improve the developer experience through self-service APIs, automation, paved paths, and clear platform contracts, and set direction through written proposals and thoughtful technical decisions while mentoring engineers to help grow an inclusive, high-performing team.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where it has a legal entity. 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 to shape the platform’s architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operations, influencing across teams and geographies, and partnering with product and engineering leaders. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage—while you define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads and lead architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll own end-to-end outcomes for ambiguous cross-team initiatives, advance portable cloud-native execution across GCP and AWS, champion operational excellence for a tier-0 platform, improve developer experience through self-service APIs and clear platform contracts, and mentor engineers to build an inclusive, high-performing team.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where they have 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, applying deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience, stay close to code and operational realities, and influence across teams while partnering with product and engineering leaders and coaching engineers to raise effectiveness. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—and responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and leading architecture for isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You will own end-to-end outcomes for ambiguous cross-team initiatives, advance portable cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform (reliability, security, privacy, incident learning, performance, and cost), improve developer experience through self-service APIs and contracts, and mentor engineers to grow an inclusive, high-performing team.

- Atlassian supports flexible work locations and hires in any country where it has a legal entity. - The company is at an inflection point, shifting from a product-led growth model to an enterprise go-to-market powered by an AI-enabled platform (Jira, Confluence, Loom, Rovo). - The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will generate and accelerate sales pipeline, translating global AI/platform narratives into locally resonant proof points, customer stories, and campaigns, with every activity measured by its ability to create opportunities. - Responsibilities include building 1:1 omni-channel ABM in close partnership with sales, planning events, coordinating with partner marketing, and using AI tools to personalize at scale and accelerate performance. - Requirements cover 7+ years of B2B marketing with 3+ years in ABM, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, and data-driven decision making, plus experience with marketing automation/CRM; additional preferences include familiarity with enterprise platforms, PLG vs sales-led GTM, and Atlassian product knowledge.

Atlassian offers flexible work options and hires globally, and the company is at an inflection point as it evolves from a product-led growth engine to an enterprise go-to-market with AI accelerating everything. The role of Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts is to generate and accelerate pipeline for the sales team and bring Atlassian’s AI and platform transformation story to life in-market. You’ll build and execute 1:1 omni-channel ABM campaigns, plan events, collaborate with sales and central teams, and partner with channel and partner marketing to widen reach. On day one, you should have 7+ years of B2B marketing with 3+ years ABM in a high-growth environment, proven pipeline-building experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation/CRM. You’ll join Regional & Partner Marketing, a global team of business owners focused on shaping marketing by market and driving pipeline, not just operating programs.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to support family, personal goals, and priorities, and Atlassian hires in any country where it has a legal entity. Atlassian is at an inflection point, moving from a successful product-led growth engine to building an enterprise go-to-market on top of its installed base, with AI accelerating everything. The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada is tasked with generating pipeline for sales by bringing Atlassian's AI-powered platform transformation story to life in-market through locally resonant proof points and customer stories. Responsibilities include building and executing 1:1 omni-channel ABM campaigns, collaborating with the sales team to target accounts and accelerate deals, planning events, and leveraging AI tools to inform strategy and measure performance, while aligning with central teams and partner channels. Requirements include 7+ years of B2B marketing with 3+ years in ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation and CRM (Salesforce and Marketo a plus); plus preferred familiarity with PLG, Atlassian products, and the regional/partner marketing team's mission.

Atlassian supports flexible work locations and hires globally where there is a legal entity, and the company has evolved from a product-led growth engine to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The role exists to bring that AI-powered transformation story to life for Strategic & Enterprise accounts and to generate pipeline for the East/Canada sales team. Responsibilities include leading 1:1 omni-channel ABM campaigns, translating global narratives into local proof points, leveraging AI tools to inform strategy and accelerate performance, planning events, collaborating with sales and central teams, and partnering with channel partners to amplify reach. Requirements include 7+ years of B2B marketing with 3+ years in ABM, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven mindset, and experience with marketing automation/CRM (Salesforce & Marketo a plus), with nice-to-haves in platform marketing to executives and familiarity with PLG/sales-led motions and Atlassian products. The team, Regional & Partner Marketing, is a global group of business owners building a new regional marketing function where marketers are strategists responsible for pipeline and shaping Atlassian’s next chapter market-by-market.

Atlassian allows office, home, or hybrid work and hires in any country with a legal entity, and is at an inflection point as its products become an AI-powered enterprise platform. The Account-Based Marketing Manager will bring Atlassian’s AI and platform transformation to life for Strategic & Enterprise accounts and turn that narrative into sales pipeline for our East/Canada regions. You’ll own and execute 1:1 omni-channel ABM campaigns, collaborate with sales to create and manage pipeline, plan events, and work with partner marketing and channel teams to accelerate deals for target accounts. On day one you should have 7+ years of B2B marketing (3+ ABM), proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, self-starting drive, and experience with marketing automation/CRM. Nice-to-haves include experience marketing platform/enterprise transformation products to C-suite, familiarity with PLG and sales-led GTM, knowledge of Atlassian’s product suite, and a background in high-growth B2B SaaS navigating product/positioning shifts, all within a Regional & Partner Marketing team that treats marketers as strategists accountable for pipeline.

Atlassian supports flexible work locations and global hiring, and is at an inflection point evolving from a product-led growth engine to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will translate that AI/platform transformation into in-market proof points and generate pipeline for sales. You’ll own 1:1 omni-channel ABM programs, collaborate with sales to target accounts, plan events, and work with partner marketing and central teams to accelerate opportunities. Requirements include 7+ years of B2B marketing with 3+ ABM in a high-growth setting, a track record of pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, self-starting mindset, data-driven decision-making, and experience with marketing automation/CRM. Nice-to-haves include experience marketing to C-suite, familiarity with PLG and sales-led GTM motions, Atlassian product knowledge, and being part of a Regional & Partner Marketing team that acts as strategists accountable for pipeline.

Atlassian supports flexible work arrangements and global hiring and is evolving from a product-led growth engine to an enterprise go-to-market powered by an AI-enabled platform (Jira, Confluence, Loom, Rovo). The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada will bring Atlassian’s AI and platform transformation story to life in-market and generate pipeline for the sales team. Responsibilities include building 1:1 omni-channel ABM campaigns, coordinating high-touch events, collaborating with sales and partners, and using AI tools to personalize and accelerate campaign performance while influencing central teams. Requirements feature 7+ years of B2B marketing with 3+ years in ABM in a high-growth environment, proven pipeline-generation experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and experience with marketing automation and CRM. Nice-to-haves include experience marketing platform or transformation products to C-suite, familiarity with PLG and sales-led GTM motions, knowledge of Atlassian’s products, and a background in high-growth B2B SaaS navigating product/positioning shifts; the role sits within a regional marketing function that treats marketers as strategists and pipeline owners.

Atlassian offers flexible work options—employees can choose office, remote, or hybrid setups, hire in any country with a legal entity, and complete interviews and onboarding virtually as part of a distributed-first approach. This is a remote field sales position based in the Netherlands. You'll develop and implement strategic sales and account plans to maximize expansion opportunities and ensure customer success, while building relationships with key decision-makers and C-level executives in strategic accounts. You'll understand customer objectives and challenges, position solutions to meet their needs, lead internal teams and partners to streamline sales processes and enhance customer satisfaction, and lead complex negotiations, market research, and awareness of industry trends to identify opportunities. You'll provide sales performance updates to senior management and engage with clients through travel and participation in industry events.

Atlassian offers flexible work locations—office, home, or hybrid—under a distributed-first approach. They hire in any country with a legal entity, and interviews and onboarding are conducted virtually. The role is a remote, field sales position based in the Netherlands. You’ll develop and implement strategic sales and account plans, build relationships with key decision-makers and C-level executives, understand customer objectives, lead internal teams, negotiate, conduct market research, and stay informed on industry trends to identify opportunities. You’ll also provide sales performance updates to senior management and engage with clients through travel and industry events to drive customer success and expansion.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company’s growth in the service management market is accelerating, driven by Jira Service Management, with channel partners playing a critical role in customer success. They’re seeking a Sr. Partner Solutions Architect to help grow service management channel partners and enable an enterprise-focused JSM service business and professional services. The role involves developing a solution acceleration strategy, creating collateral and reference architectures to boost partner success, and supporting partners through the deal cycle with technical expertise and thought leadership. It also includes collaborating with channel, product, and marketing teams, delivering partner enablement workshops, and contributing to thought leadership and events while feeding market feedback to product management.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity, with virtual interviews and onboarding as part of its distributed-first model. The company’s growth in the service management market, especially Jira Service Management, is accelerated by channel partners who play a key role in customer success. Atlassian is seeking a Sr. Partner Solutions Architect to help grow its service-management channel partner ecosystem, leveraging pre-sales to post-sales consulting and architectural skills. Responsibilities include developing the solution-acceleration strategy, creating collateral like ESM solutions and reference architectures, supporting partners through the deal cycle, and delivering partner enablement through workshops and thought leadership. The role also involves partnering with Channel teams, product management, marketing, and sales to drive partner success and feed market feedback into product development, including representing Atlassian at conferences and partner events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally; interviews and onboarding are conducted virtually as part of being a distributed-first company. The company’s growth in the service management market, led by Jira Service Management, relies on channel partners, and they are seeking a Sr. Partner Solutions Architect to grow those partners and support them from pre-sales to post-sales. The role sits in an established team aimed at helping Solution Partners build an enterprise-focused JSM service business, collaborating with Partner & Alliance teams, Partner managers, Marketing, Sales, Product, and a global team to ensure partner success. Responsibilities include developing the solution acceleration strategy, creating collateral such as ESM solutions, blueprints, and reference architectures, and guiding partners through deal cycles with technical expertise. Additional duties involve partnering with channel teams on account strategies, feeding market feedback to product management, delivering technical enablement workshops, contributing to thought leadership, and representing Atlassian at conferences and partner events.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them more control to support family, personal goals, and other priorities. The company is hiring a Senior Frontend Software Engineer to maintain its web frontend systems and tools to deliver great experiences to users. The role sits within a unified R&D team that prioritizes initiatives to move customers to the cloud while continuing to add value across Jira, Confluence, Trello, and Bitbucket. Atlassian seeks people who want to shape the future and believe that much more can be achieved together. In this role, you will build high-performing client code that is fast, testable, scalable and high quality; collaborate with engineers, designers, and managers to address user pain points; contribute to code reviews and documentation and fix complex bugs; lead projects from design and implementation to launch and operation; and onboard and mentor junior engineers.

At Atlassian, employees can work from an office, from home, or a combination of both, and the company hires in any country where it has a legal entity. They are seeking a Senior Frontend Software Engineer to maintain web frontend systems and deliver great user experiences. The organization aims to be a 100-year company with a world-class, empowered engineering team within a unified R&D structure, prioritizing cloud migration and investments across Jira, Confluence, Trello, and Bitbucket. They are looking for people who want to write the future and achieve more together. In this role, you will build high-performing client code, collaborate across engineers, designers, and managers, contribute to code reviews and documentation, lead projects end-to-end, and onboard and mentor junior engineers.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where they have a legal entity to support employees’ personal goals and family priorities. They’re seeking a Senior Backend Software Engineer to join a world-class engineering organization focused on AI, cloud transition, and delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you will drive large, complex projects autonomously from design to launch and tackle architecture challenges by applying architectural standards to new projects. You will lead code reviews and documentation, handle complex high-risk bug fixes, set an example for thorough reviews, and partner across engineering teams on company-wide initiatives. The position also requires transferring your depth of knowledge from your current language to Java and mentoring junior teammates.

Atlassian supports flexible work locations—office, home, or a hybrid model—and hires people in any country where it has a legal entity to help employees balance family and personal goals. The company is looking for a Senior Backend Software Engineer focused on delivering creative improvements for engineering teams. To build a 100-year company, Atlassian is building a world-class engineering organization of empowered teams with the tools and infrastructure to do their best work, prioritizing AI initiatives and the cloud transition across Jira, Confluence, Trello, and Bitbucket. They seek individuals eager to shape the future who believe in collaboration to achieve extraordinary results together. In this role, you will drive large, complex projects autonomously from design to launch, tackle architecture challenges and apply standards, lead code reviews and documentation plus complex high-risk bug fixes, mentor junior engineers, and transfer knowledge from other languages to excel as a Java developer while partnering across teams on company-wide initiatives.

Atlassians offer flexible work locations (office, home, or hybrid) and hire in any country where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company, and this is a remote role. To help teams work effectively, the role requires you to be located in the UK or Netherlands and visa sponsorship is not available; candidates must have the right to work there without sponsorship. The role is in the Sales Development team, partnering with Account Executives to build a mid-market sales pipeline while coordinating with Sales Operations and Marketing, and you will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach, conducting cold calls and emails to engage decision makers, and collaborating with sales, marketing, partner and operations to develop lead generation strategies while navigating objections. You will articulate the value proposition, write personalized emails to delight customers, build your pipeline with Enterprise Advocates and Enterprise Marketing, and use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work remotely with flexibility, and interviews and onboarding are conducted virtually as part of a distributed-first approach. This is a remote position, but you must be located in the UK or Netherlands, and visa sponsorship is not offered; candidates must have the right to work there without sponsorship. The role is for Sales Development Representatives who partner with Account Executives to build the Mid-Market sales pipeline, working with Sales Operations and Marketing and reporting to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads, conducting cold calls and emails, overcoming objections with value-driven messaging, and articulating the product’s value proposition. You’ll build your pipeline with Enterprise Advocates and Marketing, collaborating with teams and using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work in an office, from home, or a mix, with interviews and onboarding conducted virtually as part of our distributed-first approach. This is a remote position, but you must be located in the UK or Netherlands and have the right to work there without visa sponsorship; we are unable to sponsor visas for this role. The role is Sales Development Representative, partnering with Account Executives to build and qualify a Mid-Market sales pipeline while ensuring a delightful customer experience, in tight coordination with Sales Operations and Marketing; you will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach and research, conducting cold calls and emails, overcoming objections with value-driven messaging, and articulating the value proposition of our products to customers; you will also build your pipeline with Enterprise Advocates and Enterprise Marketing teams. You’ll use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator to execute these activities.

Atlassian offers flexible, distributed work with remote options, but this role requires being located in the UK or Netherlands and does not provide visa sponsorship. The company hires in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of a distributed-first approach. The Sales Development Representative will partner with Account Executives to build a Mid-Market sales pipeline, coordinating with Sales Operations and Marketing, and will report to a Sales Development Manager. Responsibilities include outbound prospecting, qualifying leads through proactive outreach, conducting cold calls and emails, collaborating across teams to generate leads, overcoming objections, and articulating the product's value. Candidates should have experience engaging prospects and writing personalized emails, and will build the pipeline with Enterprise Advocates and Marketing while using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassian supports flexible, distributed-first work and hires wherever we have a legal entity, with virtual interviews and onboarding; for this role, applicants from all regions of the United Kingdom are welcome. As a Principal Customer Success Manager, Public Sector, you’ll partner with strategic UK & Ireland public sector organisations to realize the full value of their Atlassian investments, guiding them through complex digital transformations, cloud migrations, and modern ways of working across our solution portfolio. The team focuses on long-term customer value and partnership rather than quota carrying, collaborating to help public sector customers migrate to the cloud, transform digitally, and adopt AI-powered solutions. You will build strategic trusted advisor relationships with senior civil servants, IT leaders, and transformation directors to align Atlassian solutions with digital mandates, champion cloud migration, and enable use of AI capabilities and the Teamwork Graph for knowledge unification and automated workflows. You will drive value realisation through Customer Success Plans and Executive Business Reviews, navigate public sector procurement and governance, and work cross-functionally with Enterprise Sales, Solutions Engineering, Cloud Migration specialists, Product teams, and Atlassian Solution Partners to ensure smooth customer lifecycle delivery.

Atlassian offers flexible, distributed work options, hiring globally where we have a legal entity, with virtual interviews and onboarding, and welcoming applicants from all regions of the United Kingdom for this role. As Principal Customer Success Manager, Public Sector, you’ll partner with strategic UK & Ireland public sector organizations to realize the full value of their Atlassian investments, serving as a trusted advisor through digital transformations, cloud migrations, and modern ways of working. The team prioritizes long-term customer value and partnership over quotas, helping public sector customers migrate to the cloud, adopt AI-powered solutions, and leverage the Teamwork Graph to unify knowledge and automate workflows. You’ll build strategic trusted advisor relationships with senior civil servants, IT leaders, and transformation directors across UK & Ireland public sector accounts to align Atlassian solutions with their digital mandates and cloud migration goals. You’ll drive value realization through Customer Success Plans and Executive Business Reviews, navigate public sector procurement and governance, and collaborate cross-functionally with Enterprise Sales, Solutions Engineering, Cloud Migration specialists, Product teams, and Atlassian Solution Partners to ensure successful lifecycle delivery.

Atlassians can choose where to work—office, home, or a hybrid—and the company supports remote work across India; the Bengaluru office exists but eligible candidates can work remotely, and hiring is possible in any country with a legal entity. The future team aims to be a world-class engineering organization within a unified R&D group, focusing on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. They’re looking for people who want to write the future and believe in achieving more together, reporting to an Engineering Manager within the R&D teams. What you’ll do includes building and shipping features daily in a highly scalable, cross-geo environment, collaborating with engineers, architects, product managers, and designers, and reviewing code with best practices for readability, testing, reliability, security, and performance. You’ll mentor teammates, ensure full visibility and monitoring of backend services, and participate in Agile practices like daily stand-ups, sprint planning, retros, and show-and-tell demos.

Atlassian offers flexible work options—office, remote, or a hybrid arrangement—and supports employees' family and personal goals, hiring in any country where it has a legal entity. This is a remote position, with a Bengaluru office but eligibility for remote work across India; you can choose to work from home, in an office, or in a mix that fits your lifestyle. You will join a world-class engineering organization within a unified R&D team focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. You will report to an Engineering Manager and collaborate with engineers, architects, product managers, and designers, participating in code reviews that emphasize readability, testing, documentation, reliability, security, and performance. You will mentor teammates, ensure observability of high-performing backend services, and take part in Agile practices including daily stand-ups, sprint planning, retrospectives, and show-and-tell demos.

At Atlassian, you can work in an office, from home, or a hybrid arrangement, and the company hires in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Team Atlassian continues investing in its largest, most strategic customers and partners with 82% of the Fortune 500, including IBM, Tesla, Dish, and Lufthansa, focusing on deepening relationships and delivering value across Atlassian’s solutions. The Account Management team aims to accelerate retention and expansion across Atlassian’s core products and services, contributing to the transformation of enterprise customers worldwide. The role involves accelerating revenue growth through a top-down, solution-oriented approach, managing high-value renewals and expansions, and partnering with Sales on account planning, white space analysis, and cross-functional coordination, reporting to the Manager, Strategic Account Management DACH & France. Ideal candidates are collaborative, adaptable team players with 7+ years of relevant revenue experience, strong discovery and expansion skills, a customer-first mindset, and the ability to manage multiple opportunities, forecast their book, identify risks, and influence cross-functional partners toward mutually beneficial outcomes.

Atlassian offers flexible work options, allowing remote or office collaboration, with hires in any country where they have a legal entity. For this internship, the role is based in the Seattle or San Francisco hub, and it is not eligible for F1/J1 visas or sponsorship. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful engineering career. The Security intern will join Atlassian's Security team, report to a Security Engineering Manager, and work with a mentor on a scoped project addressing a real security problem. Responsibilities include owning the project from problem understanding to building and documenting a solution, developing tools and automation, conducting security research, using AI-assisted coding tools, and collaborating with security and software engineers to present and maintain the solution.

Atlassian offers flexible work options and hires in any country with a legal entity, supporting distributed collaboration across home, offices, or both. The Intern program combines hands-on technical training, mentorship, and social connections to set interns up for a successful and impactful career at Atlassian, with the role based in the Seattle or San Francisco hub (you must work from one of these hubs). The Security team internship involves overseeing Atlassian services for tens of thousands of customers, reporting to a Security Engineering Manager and mentored by senior engineers. Interns will own a scoped security engineering project from problem understanding to building, testing, and documenting the solution, with potential projects including automated security testing, investigation tools, or risk-prioritization systems. Responsibilities include developing tools to find security weaknesses, conducting research to distinguish actionable findings from false positives, using AI-assisted coding and research tools, possibly building AI-assisted security capabilities, and collaborating with security and software engineers to present and maintain the solution.

- Atlassian supports flexible work locations and hires in any country with a legal entity, embracing a distributed work approach. - Their Internship program combines hands-on technical training, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. - The Summer 2027 paid internship is a 12-week role based in the Seattle hub, with no eligibility for F1/J1 visas and no sponsorship. - The position is a Research Intern on the AI Research Systems (AIRS) team within Research and Insights, focused on enabling AI-native workflows for researchers and delivering insights to cross-functional partners. - Responsibilities include reporting to a Research Manager, building AI tools, pipelines, and systems for R&I, and conducting a research project with existing AI tooling, with minimum qualifications of 12 weeks full-time and returning to studies; preferred qualifications include experience with AI tools (e.g., Claude, Code, Codex), understanding of the research process, qualitative/quantitative UX methods, and data management/analysis.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where the company has a legal entity. Their Grad++ program offers hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for success at Atlassian. The role is based in the Seattle hub and requires working from that hub; it is not eligible for F1 or J1 visas, and sponsorship is not available. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, with opportunities in search, recommendation, personalization, Generative AI, and large language models. Responsibilities include building and evaluating ML models and Generative AI applications, using data and experimentation to improve quality, translating customer and business problems into technical solutions with cross-functional partners, contributing across the ML lifecycle from prototyping to deployment and monitoring, and developing agentic workflows that combine LLMs, tools, and product context to solve complex problems.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed-work details available online. The intern program provides hands-on technical training, professional growth, dedicated mentorship, and social connections to set interns up for a successful Atlassian career, and the role is based in the Seattle hub (candidates must work from Seattle; it’s not eligible for F1/J1 or sponsorship). The paid internship runs for 12 weeks from May/June to August/September 2027. The Future Team internship focuses on data, reporting, and analytics to support a market-leading product, requiring development of data-driven hypotheses, rigorous statistical evaluation of experiments and user behavior, cross-functional collaboration, analysis of telemetry to surface growth opportunities, and building dashboards, reproducible notebooks, or AI agents. Candidates should have SQL and Python or R, knowledge of statistics and experimental design or ML fundamentals, experience with BI tools, familiarity with GenAI workflows, strong communication, and must be enrolled in a Masters program returning after the internship, graduating by August 2028, and commit to 12 weeks full-time in Summer 2027.

At Atlassian, you can work where you want—office, home, or a mix—and we hire in any country where we have a legal entity. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions, with the FDE team partnering with top organizations across industries to solve real-world problems. You’ll collaborate with product, engineering, and design to rapidly grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, high-impact role. Responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, architecting robust integrations in Python or JavaScript, influencing product direction with customer feedback, championing AI-augmented workflow automation, and overseeing end-to-end deployment with monitoring, while navigating AI risk, data privacy (GDPR), and regulatory requirements, plus mentoring senior FDEs and engineers. You’ll also communicate complex technical concepts clearly to technical and non-technical stakeholders and align technical solutions with business objectives to set a clear vision and measurable results.

Atlassians can choose to work in an office, from home, or a mix of the two, and the company hires in any country where it has a legal entity, giving people control over family priorities and personal goals. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and partnering with top organizations to leverage Atlassian’s AI capabilities. You’ll collaborate with product, engineering, and design to grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, fast-paced environment. Your responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, and architecting robust integrations with Python or JavaScript with a focus on APIs, microservices, and enterprise-scale systems, while championing AI-augmented workflow automation and overseeing end-to-end deployment. You’ll mentor senior FDEs and engineers, communicate complex technical concepts clearly to technical and non-technical stakeholders, and align technical solutions with business objectives while navigating AI risk, data privacy (GDPR), and regulatory requirements.

Atlassian supports flexible work locations globally; interviews and onboarding are virtual as part of a distributed-first approach, and this role is fully remote but must be located in IST TZ. The Senior Engineering Manager will join Jira Platform to turn the vision into reality by shaping platform capabilities, technical strategy, and engineering practices to make Jira the system of record and control plane for enterprise-scale human and agent teamwork. The work is guided by AI Transformation, Enterprise Readiness, and Efficiency to power the Jira Platform flywheel. The API extensibility work addresses reactive gaps from migration and rate limiting, and proactive structural gaps around governance, enterprise readiness, and agent-first Jira. You will lead 2-3 scrum teams (12-20 people), mentor engineers, influence architecture, and pursue world-class engineering and operational excellence in a challenging, globally distributed environment.

Atlassian supports flexible work arrangements and hires globally with virtual interviews; this role is fully remote but must be located in the IST time zone. You will join the Jira Platform team as a Senior Engineering Manager, shaping platform capabilities, technical strategy, and engineering practices to make Jira the enterprise-scale system of record and control plane for teamwork. The role advances the Jira Platform flywheel through three guiding forces: AI Transformation, Enterprise Readiness, and Efficiency. API extensibility will address reactive gaps from migrations and rate limiting, while proactive structural gaps focus on Governance, Enterprise Readiness, and Agent-first Jira as strategic bets. You will lead 2-3 scrum teams (roughly 12-20 engineers), mentor engineers, influence architectural direction, and thrive in a dynamic, ambiguous, globally dependent environment with multiple stakeholders.

The Principal Data Scientist role at Atlassian focuses on scaling a fast-growing company by applying analytics, data science, and AI to support the Service Collection initiative. It aims to identify opportunities and build tools and solutions that influence the Service Collection roadmap and speed decision-making with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLMs, and experience partnering with cross-functional teams and mentoring junior data scientists. Atlassian offers flexible work arrangements and can hire in any country with a legal entity. Responsibilities include influencing strategy, defining department-level KRs, building measurement frameworks and ML models, leading high-impact projects with Engineering, Product, Design, Data Engineering and Research & Insights teams, and fostering a data science culture through training and mentorship.

Atlassian is seeking a Principal Data Scientist to leverage analytics and AI/ML to support a strategic Service Collection initiative in a fast-growing company. The role will identify opportunities, build tools and solutions that influence the Service Collection roadmap and accelerate decision-making across business units with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, AI/LLM expertise, cross-functional partnership experience, and mentoring of junior data scientists. Atlassian offers flexible working arrangements (office, home, or hybrid) and hires from any country with a legal entity. Responsibilities include shaping strategy, defining department-level key results, building measurement frameworks and ML tools, leading high-impact cross-functional projects, and fostering a world-class data science culture through training and mentoring.

The role is for a Principal Data Scientist at Atlassian focused on Service Collection, using analytics, data science, and AI/ML to identify opportunities and influence the product roadmap. The candidate should combine strong business acumen with proficiency in statistics and AI/LLM, be comfortable with executive stakeholders, partner across functions, and mentor junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. Responsibilities include shaping strategy for Service Collection, defining and reporting department-level key results, and building measurement frameworks and ML tools to accelerate growth while guiding cross-functional projects. The role also emphasizes developing a world-class data science culture through training, continuous learning, and mentoring the team.

Atlassian seeks a Principal Software Engineer for the Data Platform Team to build a world-class data platform that powers crucial business decisions, partnering with analytics, data engineering, and data science teams to identify gaps and translate findings into capabilities. The role offers flexible work arrangements—office, home, or hybrid—and Atlassian can hire in any country where it has a legal entity. You will own the long-term architecture and technical direction for core platform capabilities, ensuring reliability, cost efficiency, and adoption, and design/build foundational components across ingestion, transformation, orchestration, compute, and consumption. You will architect multi-tenant platform standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers while driving compute and storage efficiency, and you will lead cross-team initiatives and architecture reviews, influencing platform strategy and mentoring senior engineers. You will stay hands-on, engaging with the toughest coding challenges rather than just reviewing designs.

Atlassian seeks a Principal Software Engineer for the Data Platform Team to build a world-class data platform that powers crucial business decisions, collaborating with analytics teams, data engineers, and data scientists to identify gaps and build capabilities. Atlassians can work from an office, from home, or in a hybrid arrangement, and we hire in any country where we have a legal entity. You will own the long-term architecture and technical direction for core platform capabilities, responsible for reliability, cost efficiency, and adoption, and design foundational components across ingestion, transformation, orchestration, compute, and consumption. You will design robust multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers while driving compute and storage efficiency, lead cross-team initiatives and architecture reviews, and mentor senior engineers. The role is hands-on and expects you to be coding on the hardest problems, not only reviewing designs.

Atlassian is seeking a Principal Software Engineer for its Data Platform Team who is passionate about building scalable data platforms and will partner with analytics teams, data engineers, and data scientists to make data actionable. The role owns the long-term architecture and technical direction for core platform capabilities, ensuring reliability, cost efficiency, and adoption, while designing foundational components across ingestion, transformation, orchestration, compute, and consumption. You will design robust multi-tenant standards with cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers and drive compute and storage efficiency across workloads. You will lead cross-team technical initiatives, influence platform strategy with senior stakeholders, act as a technical mentor to senior engineers, and stay hands-on on the hardest problems. Atlassian offers flexible work options and can hire in any country where it has a legal entity, with the team building analytical data platforms to generate valuable insights for Engineering and Data Engineering.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Principal Customer Success Manager in the Enterprise segment, you help customers realize value from their Atlassian investment by delivering scalable methodologies that drive adoption, solution expansion, and long-term growth. You’ll build relationships with C-level and executive stakeholders, guide complex customers through hurdles, and apply cross-product expertise to realize value across their lifecycle. The role sits within a team serving 300,000+ customers (including NASA, IBM, HubSpot, Samsung, Coca-Cola) with a focus on value and a collaborative “play as a team” culture, developing trusted advisor relationships and value realization across global accounts. You’ll develop customer success plans, navigate multi-party implementations, stay current on products, drive adoption and footprint expansion, mitigate churn, and serve as the Voice of the Customer to relay feedback for better strategic customer service.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving Atlassians more control over personal goals and priorities. The Principal Customer Success Manager in the Enterprise Segment helps customers realize value by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. You’ll build executive-level trusted advisor relationships, guide complex customers through hurdles, and apply cross-product and solution expertise to support global teams across the customer journey. Responsibilities include developing Customer Success Plans, conducting regular check-ins and strategic reviews, navigating multi-partner implementations, driving adoption strategies for high-value accounts, and mitigating churn through proactive risk management. With over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian emphasizes a team-focused culture and the Voice of the Customer to inform internal improvements.

The Enterprise Security Engineer at Atlassian is a hands-on role responsible for implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, turning security strategy into practical, secure-by-default controls that don’t slow the business. They partner with Enterprise IT, Corporate Engineering, SRE/Platform teams, Legal, Privacy, Product Security, and other stakeholders, participate in Atlassian’s Customer Zero initiative, and are based in Australia/New Zealand. Key duties include designing and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains; remediating gaps; enabling secure baselines; conducting security reviews for new tools and workflows; and supporting cyber-related physical security integrations. The role also covers identity lifecycle, privileged access, authentication/authorization, insider risk monitoring, cloud and endpoint protection, DLP and data classification, automation, IaC/CI-CD security checks, on-call rotations and post-incident reviews, and SaaS supply chain/vendor risk assessments. Success is measured by timely delivery of tasks and deployments, reduction of security escalations, development of reliable automation, closure of posture gaps, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across identity, endpoints, cloud, data, and workforce technologies, turning enterprise strategy into practical, secure-by-default solutions. They partner with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include designing, implementing, operating, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and sensitive data protections, and assisting with secure baseline configurations and reviews for new tools and workflows. The role also supports cyber-physical security operations, including integrations between physical access-control systems and identity platforms, monitoring access lifecycles, and addressing facility-related cyber risks, while strengthening identity lifecycle management, privileged access, authentication, authorization, and access reviews. Success is measured by timely execution of technical tasks and deployments, reduced security backlog and toil, effective automation and tooling, closed posture gaps, and strong cross-functional collaboration and learning.

The Enterprise Security Engineer is a hands-on role responsible for designing, implementing, operating, and continuously improving security controls across Atlassian’s corporate architecture—including cloud, SaaS, endpoints, identity, data, and workforce technologies—translating enterprise strategy into secure-by-default solutions that reduce risk without slowing the business. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include strengthening identity, access, and human risk; implementing cloud, SaaS, and endpoint protection; advancing data protection and secure baselines; and participating in security reviews for new tools and SaaS integrations, as well as supporting cyber-related physical security operations. Additional focus areas cover automation, infrastructure-as-code and CI/CD security checks, tracking operational metrics, running SOPs and runbooks, and contributing to incident response and post-incident reviews. Success is measured by on-time delivery of technical tasks and control deployments, reduced toil and backlog, reliable automation, measurable improvements in posture across SaaS/ends/IAM, and effective collaboration with cross-functional teams.

The Enterprise Security Engineer is a hands-on role based in Atlassian’s Australia/New Zealand entities who implements, operates, and improves security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, translating enterprise security strategy into secure-by-default, measurable controls that reduce risk without slowing the business, including validating capabilities internally as part of the Customer Zero initiative. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment and to roll out secure baselines and paved-path configurations across internal teams. Core duties include strengthening identity lifecycle management, privileged access, authentication and authorization, monitoring insider risk, validating agentic identity and AI-native governance, and supporting secure service accounts and automated bot credentials, with broader efforts to ensure secure adoption across internal services. Cloud, SaaS, and endpoint protection involve implementing guardrails and posture baselines for AWS/GCP and SaaS like Google Workspace, Slack, Okta; maintaining endpoint security agents and device/compliance baselines; and supporting DLP and data-classification controls, as well as security reviews for new tools and integrations. The role also covers SaaS supply chain and third-party risk evaluations, incident response and on-call duties, automation and operational excellence through scripting and IaC/CI-CD security checks, and is measured by delivery of tasks, reduced manual toil, improved security hygiene, and effective collaboration across teams.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across corporate architecture, SaaS, cloud, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default controls that reduce risk without slowing the business. They partner with Enterprise IT, Corporate Engineering, SRE, Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment, and as part of Atlassian’s Customer Zero initiative validate and refine capabilities internally before broader adoption, based in Australia/New Zealand. The role covers designing, implementing, operating, and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and SaaS supply chain/third-party risk evaluations, and assisting with secure baselines and paved-path implementations. It includes security reviews for new tools, internal workflows, and SaaS integrations; monitoring insider risk signals and anomalous access patterns; enforcing service accounts and automated bot credentials; implementing guardrails, DLP, and data-classification controls; maintaining physical security integrations with identity platforms and monitoring facility-related cyber risks; and participating in on-call rotations and post-incident reviews. Success is measured by execution and delivery of scoped tasks and automation milestones on time; triage of security escalations and backlog reduction; development of reliable scripts and tooling; remediation of posture gaps; and collaboration to expand technical depth across enterprise security domains.

The Enterprise Security Engineer is a hands-on role responsible for implementing, operating, and improving security controls across corporate architecture, cloud services, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default measures. They collaborate with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. The role designs, implements, operates, and maintains security controls across identity, endpoints, network, cloud (AWS/GCP), SaaS, and data protection, remediating gaps and rolling out secure baseline configurations and paved-path implementations. It includes strengthening identity and access governance, monitoring insider risk, securing service accounts and bot credentials, and implementing guardrails, DLP, and data-classification across cloud, SaaS, and endpoint environments, while contributing to security reviews for new tools. You’ll also build automation and infrastructure-as-code security checks, participate in on-call rotations and post-incident reviews, and assess SaaS supply chain and third-party risk, with success measured by timely delivery, reduced toil, improved security hygiene, and effective cross-functional collaboration.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across Atlassian’s corporate architecture, including identity, data, endpoints, cloud, SaaS, and workforce technologies. The role translates enterprise security strategy into practical, secure-by-default solutions, partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Legal, Privacy, and other stakeholders, and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. Responsibilities include designing, implementing, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data protection; remediating gaps; rolling out secure baselines; participating in security reviews; and executing SaaS supply chain and third-party risk evaluations with vendor remediation. Additional duties cover security operations support for cyber-physical security, maintaining endpoint agents, DLP and data-classification controls, and driving automation, infrastructure-as-code, CI/CD security checks, on-call rotations, and post-incident reviews. Success is measured by timely delivery of tasks and control deployments, reduced security backlog and toil, reliable automation, improvements in security hygiene across SaaS, endpoints, and IAM, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role (based in Australia/New Zealand) responsible for designing, implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and related workforce technologies, translating strategy into secure-by-default solutions and partnering with IT, engineering, security, Legal/Privacy, and business stakeholders. It includes participating in Atlassian’s Customer Zero initiative to validate and enhance security capabilities internally before broader adoption. Core duties encompass building and maintaining controls, remediating gaps in access, device posture, SaaS configurations, and data protections; rolling out secure baselines; conducting security reviews for new tools and SaaS integrations under senior guidance; and supporting cyber-related physical security operations. The role emphasizes Identity, Access & Human Risk management, cloud, SaaS, and endpoint protection, including identity lifecycle management, privileged access, authentication/authorization, access reviews, insider risk monitoring, and secure service accounts and bot credentials. Success is measured by timely delivery of tasks and automation milestones, efficient triage of security escalations, reduction of manual toil, remediation of posture gaps across SaaS/endpoints/IAM, and effective collaboration with cross-functional teams.

Atlassian supports flexible work options—office, home, or a hybrid—along with virtual interviews and onboarding as part of a distributed-first culture. The Team Atlassian focuses on the largest, most strategic customers, partnering with 82% of the Fortune 500 and with teams at IBM, Tesla, Dish, Lufthansa, and more. The Account Management team aims to deepen customer relationships, address their most complex challenges, and drive value across Atlassian’s solutions, contributing to the transformation of enterprise customers worldwide. The role reports to the Manager, Strategic Account Management APAC and involves delivering high customer retention, proactively pursuing expansion, and guiding opportunities across the customer lifecycle. Candidates should be adaptable with multi-opportunity handling, excel at discovery and customer advocacy, have a proven revenue target track record, and be prepared to collaborate cross-functionally to grow the business, manage renewals and expansions, raise product awareness, forecast the owned book, and mitigate risks.

Atlassian supports flexible work options (office, remote, or hybrid), hires globally in countries with legal entities, and conducts virtual interviews and onboarding as part of its distributed-first approach. The company partners with 82% of the Fortune 500 and collaborates with teams at IBM, Tesla, Dish, Lufthansa, and others, with the Team Atlassian focused on developing its largest strategic customers. The Account Management team aims to deepen customer relationships, drive retention, and accelerate expansion across Atlassian’s core products and services, reporting to the Manager, Strategic Account Management APAC. The role requires adaptability, the ability to manage multiple opportunities, strong discovery, customer advocacy, and a proven track record of meeting revenue targets and accelerating expansion while handling renewals and growth across a large product portfolio. You will grow by leveraging existing footprints, build senior relationships, manage growth opportunities, forecast for your book, identify risks, and influence cross-functional partners toward mutually beneficial outcomes.

GitLab positions itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, with AI integrated into daily workflows. The company is hiring a Staff Product Security Architect in Security Platforms and Architecture to be a hands-on security driver who embeds standards into modern developer workflows and partners with product engineering to reduce risk. Responsibilities include leading security architecture for strategic initiatives, identifying systemic risks, codifying reusable guardrails and patterns, building proofs of concept, conducting architecture reviews, threat modeling, proactive risk exploration, mentoring engineers, and acting as Security Owner for high-priority items. Requirements include deep application security architecture experience (including authentication, authorization, multi-tenant isolation), security for distributed systems and software supply chains, a proactive architecture track record, influence with engineering leadership, clear communication, and vision for AI tooling guidance; the team comprises Security Architecture, Security Research, and Application Security, with an FY27 reorganization planned. The base salary range is $168,000–$238,000 USD for US residents, with bonuses, equity, and benefits; GitLab roles are remote with location-based eligibility, and the company emphasizes equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million users and trusted by more than half of the Fortune 100, with AI embedded to boost productivity and innovation. The role is Staff Product Manager for an internal platform team within Revenue Lifecycle & Finance Systems, owning the multi-quarter internal roadmap for Quote-to-Cash and finance systems (Salesforce CPQ, Zuora, NetSuite, CDot). You’ll partner with Finance, Revenue Ops, Deal Desk, and Legal to translate business requirements into actionable specifications, manage SOX and revenue recognition governance, and lead discovery and decision-making between business needs and engineering. You’ll mentor the BSA team, promote product-management best practices, and guide program strategy and cross-functional delivery, including UAT, post-launch improvements, and architecture considerations with Enterprise Architects. Requirements include 8+ years in product management with 3+ in internal/platform leadership, deep QTC domain experience, SOX familiarity, ability to manage multi-program delivery, strong technical fluency, and a US salary range of $168,000–$235,600, with remote, equal-opportunity hiring.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and trusted by many Fortune 100 companies, with a culture that embraces AI as a core productivity multiplier. The Staff Backend Engineer role provides technical leadership across multiple teams, shaping architecture, standards, and the modernization of large monoliths toward modular, reusable systems while ensuring quality, security, reliability, and operability. You will lead cross-cutting backend initiatives, establish patterns for APIs, data ownership, testing, and observability, own production systems including on-call incident response, and influence platform roadmap in partnership with Product and Engineering leadership. Qualifications emphasize cross-team technical leadership, deep backend architecture experience, and hands-on work with Go, Kubernetes, Rust, PostgreSQL, and security-conscious software supply chains, plus experience with AI-enabled workflows. GitLab offers flexible PTO, equity, parental leave, and an inclusive, globally remote workforce, with a commitment to equal opportunity and accommodations for applicants from diverse backgrounds; some location-based eligibility may apply.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and Fortune 100 companies trusting it; AI is embedded as a core productivity multiplier across the company and all team members are encouraged to incorporate AI into daily workflows. The Senior Backend Engineer role involves designing and evolving product capabilities, solving high-scope backend problems, influencing technical and product direction, and collaborating across product, frontend, infrastructure, data, and security boundaries to define high-scale standards. Responsibilities include driving technical direction, raising the bar on product quality, security, availability, and performance, mentoring engineers, diagnosing and preventing performance issues, participating in incident response, and integrating agentic AI into production workflows while coaching others on responsible use. Required qualifications include deep backend expertise, adaptability with modern backend languages, architectural judgment, influence through clear written communication, and agentic AI experience; helpful experiences include high-throughput distributed systems, Kubernetes, database performance, modular monoliths or event-driven systems, and open-source or SaaS backgrounds. GitLab offers remote-first, global roles, flexible PTO, equity compensation, growth and parental leave, and emphasizes equal opportunity and accommodations, welcoming applicants with varying levels of experience and encouraging you to apply even if you don’t meet every stated qualification.

GitLab is an intelligent orchestration platform for DevSecOps with more than 50 million registered users and strong Fortune 100 adoption, and it embeds AI as a core productivity multiplier within a remote-first, high-performing culture. As an Intermediate Backend Engineer, you will take backend features from clarification through delivery and production follow-up, collaborating with Product Management, Frontend, Infrastructure, and Security to ensure quality, security, performance, and maintainability of shared backend code and services. You’ll own and ship features by designing, implementing, testing, and deploying backend functionality in Ruby/Rails, Go, or other modern languages, and you’ll design APIs, data models, background jobs, and bounded services with production readiness in mind. You’ll add automated coverage, review code for correctness and security, investigate failures, address technical debt, participate in on-call or operational support, and leverage AI productively in daily work while validating its outputs and recognizing its limits. GitLab offers benefits such as flexible PTO, equity, parental leave, and growth funds, supports global remote hiring, maintains an equal opportunity policy, and encourages applicants from underrepresented groups to apply even if they don’t meet every qualification.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, with 50 million+ users and Fortune 100 trust, and it treats AI as a core productivity multiplier across the team. The company emphasizes a high-performance, values-driven culture that fosters continuous knowledge exchange, innovation, and career growth while solving complex problems with industry leaders. The role is to lead the Switchboard team, which owns GitLab Dedicated’s Tenant management product, a cross-functional group (Frontend, Backend, Reliability) responsible for self-service and workflow automation for a large-scale dedicated tenant fleet. Responsibilities include guiding the full-stack Switchboard team, coordinating with a Product Manager and design for the customer-facing control panel, hiring and developing talent, planning and delivering with fast, high-quality, cross-functional execution, and driving improvements in quality, security, and performance to reduce manual operations. The ideal candidate has a proven track record with large-scale distributed services and fleet management (Terraform, Kubernetes, AWS), experience delivering services at 99.99% SLOs, familiarity with AI tooling to boost productivity, and the ability to lead distributed/remote teams; GitLab offers remote roles worldwide, plus benefits, equity, and a merit-based, equal-opportunity, privacy-conscious workplace, with some location-based eligibility.

GitLab is an AI-powered DevSecOps orchestration platform trusted by more than 50 million users and many Fortune 100 companies, embedding AI to boost productivity, innovation, and a high-performance, values-driven culture. They are seeking a technical engineering manager to lead the Dedicated Platform Integration team, responsible for integrating third-party and modular features into the Dedicated platform hosted SaaS. The role requires driving quality and speed, ensuring at least 99.9% availability with strong security and scalability for multi-tenant infrastructure, reducing toil through automation, enabling self-service production for feature implementers, and modeling incident management best practices. Candidates should have a proven track record building large-scale distributed services, experience with fleet management (Terraform, AWS) and automated provisioning across 20+ clusters, and a history of delivering four-nines (99.99%) SLOs while leveraging AI tools and leading high-performing, distributed teams. GitLab offers remote worldwide roles with benefits including health, PTO, equity, growth funding, and parental leave, and emphasizes equal opportunity, non-discrimination, and accommodations in recruitment and employment.

GitLab positions itself as the intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embraced as a core productivity multiplier. The company seeks a Distinguished Engineer to lead technical direction across Core DevOps—CI, CD, Plan, and source control—and to align these systems with AI-native development and long-lived production environments. You will define the go-forward technical direction, translate company goals into roadmaps, measure success, manage systemic risk, drive design convergence, design safe migration paths, adopt AI capabilities, and serve as the escalation point for complex decisions across the group. Requirements include 10+ years of software engineering experience with 4+ years in senior technical leadership, deep expertise in AI/ML and production-scale, multi-tenant distributed systems, experience with human-in-the-loop controls and responsible AI practices, and strong mentoring and remote collaboration skills. The role is remote with a US base salary range of $250,000–$349,000 plus benefits, and GitLab is an equal opportunity employer that welcomes applicants from diverse backgrounds, with location eligibility and privacy policies noted.

GitLab is an AI-driven, remote-first platform for DevSecOps that helps organizations boost developer productivity, security, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100. The role of Director, Legal – Employment (EMEA) is a remote, UK or Ireland–based, individual-contributor position with end-to-end ownership of employment matters across the region. You will lead complex employment law work—from recruiting and onboarding to compensation, performance, leave, and separation—while negotiating with works councils, guiding organizational changes, and representing GitLab in labor courts or tribunals, and you will build scalable processes and mentor colleagues. Requirements include a JD/LLB admitted in an EMEA jurisdiction, substantial multinational experience with works councils, proven outside-counsel management in labor proceedings, GDPR knowledge, and the ability to advise senior stakeholders in a remote, asynchronous environment. GitLab offers flexible PTO, equity, a Growth and Development Fund, parental leave, and a strong commitment to diversity and inclusion, with global hiring and location-based eligibility considerations.

Figma is expanding its team of creatives and builders to make design accessible, with a platform that supports brainstorming, prototyping, translating designs into code, and real-time collaboration—now enhanced by AI and generative design innovations. They are hiring an experienced AI Product Engineer to lead AI efforts from inception to implementation, working closely with an AI Research team and cross-functional partners to shape the future of AI at Figma. The role involves developing early-phase AI systems to improve user experience, measuring and improving AI performance and relevance, breaking down open-ended AI problems into engineering strategies, and mentoring the team while contributing to talent growth. Requirements include 5+ years of software engineering with at least 1 year of generative AI product development, full lifecycle AI development experience, ability to connect abstract models to business value, and familiarity with AI-assisted development tools; nice-to-have items include NLP/indexing/personalization expertise, multi-year roadmapping, an advanced degree, and mentoring experience. The position can be remote in the US or based in a US hub, with a base salary range of $153,000–$376,000 plus equity and comprehensive benefits, along with equal opportunity and accommodations policies; applicants’ data will be processed under Figma's Candidate Privacy Notice, and the company requires cameras to be on during video interviews and in-person onboarding.

Figma is expanding its team to make design accessible and to advance AI-driven design and collaboration, inviting applicants to help shape the future of design. The company is seeking an accomplished AI Product Engineer to lead AI efforts from inception to implementation, with the option for full-time remote work in the United States or from a US hub. The role entails leading early-phase AI system development to improve user experience, collaborating across engineers, product managers, and data scientists, breaking down open-ended AI problems, mentoring the team, and helping grow AI talent. Qualifications include 5+ years in software engineering with 1+ year building generative AI products, experience with the full lifecycle of early AI development, and the ability to connect modeling work to business value; preferred items include expertise in AI indexing, NLP, roadmapping, an advanced degree, and a growth mindset. Figma offers equity and a comprehensive benefits package, an annual base salary range of $153,000–$376,000, equal opportunity and disability accommodations, and notes onboarding and interview logistics such as camera-on video interviews and in-person onboarding.

Figma is hiring for its Research team’s Rapid Research program as a full-time role (remote in the US or from a US hub) that will rotate across product areas and work in one- to two-week sprints to inform product decisions. You’ll scope and run focused research, turn findings into actionable recommendations for designers and product managers, present to cross-functional teams and leadership, and bring clarity to ambiguous problems while continuously improving speed and rigor with new tools and templates. Requirements include 7+ years of experience in research within high-growth digital product environments or agencies, strong mixed-methods skills (qualitative interviews, quantitative surveys/data analysis), and demonstrated product judgment with ability to secure executive buy-in, plus the capacity to ramp quickly and deliver in short sprints. Nice-to-haves include proficiency in designing and prototyping in the Figma suite, familiarity with researching design and developer tools, a background in product design/PM/engineering, and the ability to combine analytics with qualitative research. Figma emphasizes growth, offers equity and a comprehensive benefits package with a salary range of $169,000–$250,000, equal opportunity employment with disability accommodations, cameras-on during interviews, in-person onboarding, and a Candidate Privacy Notice.