The Ampin App
deep insights into the Atlassian community

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, giving employees control over family and personal priorities. 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 that impact business outcomes. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve real-world problems, collaborating with product, engineering, and design to grow technical and domain expertise. You’ll code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, architect integrations with Python/JavaScript, and influence product direction by addressing customer pain points and promoting AI-augmented workflow automation. You’ll oversee end-to-end deployment, navigate AI risk and compliance (including GDPR and regulatory frameworks), mentor engineers, and communicate complex concepts clearly to technical and non-technical stakeholders while aligning technical work with business objectives and measurable results.

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and priorities. 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 influence the future of AI-enabled teamwork. You’ll lead design, development, and deployment of AI/ML solutions using Rovo, architect integrations with Python/JavaScript, and provide broad engineering exposure across Atlassian’s product suite. Your responsibilities include guiding product direction with customer input, championing AI-augmented workflow automation to maximize value, overseeing end-to-end production deployments, and addressing AI risk, data privacy (GDPR), and regulatory considerations. You’ll mentor other FDEs, communicate complex technical concepts clearly to technical and non-technical stakeholders, and align technology initiatives with business objectives to deliver measurable results.

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

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

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

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

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

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

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

At Atlassian, employees can choose where to work—office, home, or a hybrid arrangement—and the company can hire people in any country where it has a legal entity. The Central AI Org is dedicated to AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure including search, Q&A, and conversational AI, with exploration of AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI and ML models and experiences. As a Senior ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to low-level optimizations like GPU kernels and quantization. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems for billions of requests, benchmark and accelerate inference engines, create CI/CD for model deployment, and collaborate with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, aims to develop horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and to explore AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI and ML by building productive tools that enable Atlassian teams, customers, and the ecosystem to develop, deploy, measure, and operate AI/ML models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize large-scale model serving end-to-end, covering distributed infrastructure and deep low-level optimizations like GPU kernels, quantization, and speculative decoding. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems, benchmark and accelerate inference engines, create CI/CD for deployments, and partner with senior ML engineers to fine-tune open-source LLMs for deployment.

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

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

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

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

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

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

Atlassian supports flexible work locations and can hire people in any country where it has a legal entity. Its Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams, and TDP SQL is Atlassian’s managed relational database platform. The company seeks a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes. Responsibilities include building an inclusive, high-performing team, defining the strategy and roadmap, ensuring reliability and compliance (data residency, encryption, backup/recovery), incident response, and multi-cloud architecture. The role also requires cross-functional leadership and economics, owning cost posture and capacity planning, partnering with product, security, reliability, and infrastructure teams, and driving platform adoption by reducing integration complexity.

Atlassian supports flexible work locations and hires globally, with its Trusted Data Platform (TDP) delivering secure, scalable data storage that meets data residency, encryption, regulatory, backup, and multi-cloud requirements. TDP SQL is Atlassian’s managed relational database platform, enabling engineering teams to build applications without managing underlying infrastructure, security, or scaling. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for people, strategy, execution, and operational outcomes, and to partner with product, program, infrastructure, security, and product organizations to evolve TDP SQL. The role emphasizes building an inclusive, high-performing team, defining a roadmap aligned with data-platform and cloud goals, managing risks and capacity, and driving platform adoption while maintaining reliability, SLAs, and enterprise capabilities like data residency and disaster recovery. It also requires technical leadership across architecture and multi-cloud deployments, cross-functional collaboration, cost management, and a focus on customer trust and sustainable cost efficiency.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. Atlassian’s Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage used by product and platform teams; TDP SQL is the managed relational database platform that lets engineering teams build apps on relational databases without managing the underlying infrastructure, availability, security, or enterprise controls themselves. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, and execution, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL. Responsibilities include building an inclusive, high-performing team, defining strategy and roadmap, surfacing delivery risks and dependencies early, increasing platform adoption, and owning the operational health with SLOs, incident response, and enterprise requirements like data residency, encryption, backup and recovery. The role also encompasses cross-functional leadership and economics, including managing platform cost and capacity, establishing technical and operational contracts, and representing TDP SQL in reviews and planning to balance customer trust with sustainable cost efficiency.

- Atlassian offers flexible work options and hires globally, and maintains the Trusted Data Platform (TDP) including TDP SQL, a managed relational database platform that helps teams store and manage customer data with enterprise requirements in mind. - They are seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for people, strategy, execution, and operational outcomes, and to partner with senior engineers, product, program, infrastructure, security, and product organizations to evolve TDP SQL. - The role emphasizes building an inclusive, high-performing team through effective hiring, onboarding, talent development, succession planning, and establishing operating practices while managing capacity across strategic investments, customer commitments, operational work, and technical debt. - Responsibilities include owning the platform’s reliability and customer trust—availability, durability, performance, security, compliance, data residency, backups, and recoverability—and leading incident response with durable improvements. - Additional duties cover technical and platform leadership across multi-cloud environments, cross-functional collaboration and contracts with infrastructure and customer teams, visibility into costs and investments, and making decisions that balance customer trust, platform value, and cost efficiency.

Atlassian supports flexible work arrangements and global hiring, with its Trusted Data Platform (TDP) providing secure, scalable data storage across clouds that meets data residency, encryption, compliance, and disaster recovery requirements. TDP SQL is Atlassian’s managed relational database platform, offering a supported way to build applications on relational databases without managing underlying infrastructure, availability, security, or scaling. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, owning people, strategy, execution, and operational outcomes, and driving success by building a strong engineering organization, operating a highly reliable platform, and translating complex customer and infrastructure requirements into a clear roadmap. Responsibilities include developing managers and engineers, defining strategy and roadmap, surfacing risks and dependencies, increasing platform adoption, and ensuring reliability, security, compliance, incident response, and data residency needs. The role also covers architectural direction across multi-cloud environments, cross-functional partnerships, and managing the platform’s cost, investments, and unit economics to balance customer trust with sustainable cost efficiency.

At Atlassian, employees can work office, remote, or hybrid, with global hiring where there’s a legal entity, supported by the Trusted Data Platform (TDP) that provides secure, scalable data storage across clouds with data residency, encryption, backup, and compliance. TDP SQL is Atlassian’s managed relational database platform, giving engineering teams a supported way to build applications on relational databases without having to manage underlying infrastructure, availability, security, or scaling. The role is Senior Engineering Manager to lead the TDP SQL engineering team, accountable for the team’s people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure, security, and Atlassian product organizations to evolve TDP SQL as a dependable, easy-to-adopt internal platform. Responsibilities include leading and developing managers and engineers, establishing operating practices, setting the strategy and roadmap, surfacing risks and dependencies early, and increasing platform adoption by delivering well-supported, production-ready capabilities. The role also entails owning reliability and trust (availability, performance, security, compliance), guiding architectural direction across multi-cloud environments, and managing cost posture and investment decisions while representing TDP SQL in reviews and planning.

Atlassian allows flexible work locations (office, home, or hybrid) and hires in any country with a legal entity. Its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage for enterprise needs across multiple clouds, including data residency, encryption, compliance, backup, and recovery. TDP SQL is Atlassian’s managed relational database platform, freeing teams from managing underlying infrastructure, security, scaling, and enterprise controls. Atlassian is seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for people, strategy, execution, and operational outcomes, while driving broader platform adoption. The role emphasizes building a strong engineering organization, ensuring platform reliability, translating complex requirements into a clear roadmap, and coordinating cross-functional efforts with focus on cost efficiency and customer trust.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Manager will build and drive Atlassian Government Cloud platform release components, leading a 10–15 engineer team, and owning end-to-end release readiness and go/no-go decisions for high-stakes launches. Responsibilities include owning the release process (planning, branching/versioning, cutover, verification, rollback), managing the release calendar and cross-team dependencies, and serving as the escalation point for release-impacting incidents. They will set the strategy with a multi-quarter roadmap to reduce release risk and cycle time, implementing trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. The role requires collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; conducting blameless post-release reviews; and ensuring compliance and auditability (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

- Atlassian supports flexible work locations and hires globally where they have a legal entity. - The Senior Manager will build and mature Government Cloud platform components, own end-to-end release processes, and drive go/no-go decisions, including participating in hard launch calls. - They will own the release process, calendar, dependencies, release readiness criteria, cutover, rollback, and serve as the escalation point for incidents, including after-hours for major launches. - They will manage and grow a team of 10–15 engineers, set expectations, handle performance and career development, and lead a multi-quarter roadmap to reduce release risk using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback. - They will partner across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, maintain auditable releases that meet change-management requirements, and conduct blameless post-release reviews to drive improvements.

Atlassian offers flexible work options and hires globally in any country where it has a legal entity. The Senior Manager will build and drive the Government Cloud platform release components, lead a team of 10-15 engineers, own the go/no-go framework, and participate in hard launch decisions as a hands-on leader. Responsibilities include owning the Government release process end-to-end—planning, branching/versioning, readiness, cutover, verification, rollback, managing the release calendar and dependencies, and serving as the escalation point for incidents. The role requires developing a multi-quarter roadmap to reduce release risk and cycle time, implementing trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, while building bench strength and partnering with platform teams to scale tooling. Collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance is essential, with clear communication to senior leadership, blameless post-release reviews, and ensuring compliance with change management and audit standards (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without overburdening delivery.

Atlassians can choose where they work—office, home, or a mix—and Atlassian hires in any country where we have a legal entity. The Senior Manager will build and drive Atlassian Government Cloud platform components, especially end-to-end release components, leading a team of engineers and shifting from continuous delivery to operator-approved releases. The role owns the government release process, including planning, versioning, release readiness, cutover, verification, rollback, the release calendar, dependencies, and go/no-go decisions, and serves as the escalation point for release-impacting incidents. They will manage 10-15 engineers, coach and hire, set expectations, and build bench strength, while driving a multi-quarter roadmap to reduce release risk with trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback. They will partner with cross-functional teams for release readiness and launch readiness, communicate status to senior leadership, run blameless post-release reviews, and ensure compliance with change management and audit standards (SOC 2, ISO 27001, FedRAMP, PCI, SOX) as applicable.

Atlassians can work in an office, from home, or a mix, and Atlassian hires in any country with a legal entity. The Senior Manager will build and mature Atlassian Government Cloud platform components, leading a team of software engineers and owning the end-to-end release process including go/no-go decisions. You’ll manage a 10-15 person team, set expectations, foster on-call rotations, and own release readiness, cutover, verification, and rollback, while coordinating a multi-team release calendar and dependencies. You’ll drive a multi-quarter roadmap to reduce release risk with trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, partnering with other platform teams to scale tooling. You’ll ensure compliance and auditability (SOC 2, ISO 27001, FedRAMP, PCI, SOX), run blameless post-release reviews, and serve as the escalation point for release-impacting incidents while communicating status to senior leadership.

Atlassians can choose where they work—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role is a Senior Manager for the Atlassian Government Cloud platform components, leading a 10–15 engineer team, owning end-to-end release processes, and shifting from continuous delivery to operator-approved releases. Responsibilities include owning release planning, go/no-go criteria, readiness, cutover, verification, rollback, managing the release calendar and dependencies, and serving as the escalation point for incidents, including after-hours during major launches. The candidate will drive a multi-quarter strategy to reduce release risk and cycle time, leveraging trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with other platform teams to scale tooling. They will collaborate cross-functionally with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, communicate status to senior leadership, run blameless post-release reviews, and ensure compliance with change management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian supports flexible work arrangements and global hiring, with employees able to work in offices, from home, or a combination, and to be hired in any country where there is a legal entity. The Senior Manager will build and drive Atlassian Government Cloud platform components, focusing on end-to-end release processes and providing hands-on leadership during launches. Responsibilities include owning the release process for Government releases (planning, branching/versioning, readiness, cutover, verification, rollback), managing the release calendar and go/no-go decisions, and serving as the escalation point for release-related incidents. The role leads 10–15 software engineers, coaches and develops the team, and crafts a multi-quarter roadmap to reduce release risk using trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. Collaboration spans Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, with clear communication to senior leadership, blameless post-release reviews, and ensuring change management and audit compliance (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

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

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

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

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity. The opportunity is to join the high-impact Spark Growth team that drives customer acquisition through world-class experimentation, building top-of-funnel experiences and AEO/SEO features so millions can discover and sign up for Atlassian products. The role includes People Leadership & Team Health responsibilities (mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being) and Delivery & Outcome ownership (driving multiple top-of-funnel workstreams, prioritizing trade-offs, and refining agile processes). Technical Leadership & Architecture responsibilities involve setting long-term technical direction, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience and scalability. The role emphasizes meaningful early impact, data-driven decision-making, and requires 5+ years of experience managing software engineering teams, 2+ years managing other engineering managers or senior engineers, a CS degree, and experience with distributed systems, cloud infrastructure, and AI/ML systems.

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

Atlassian offers flexibility in where you work—office, home, or a mix—and hires in any country where the company has a legal entity to support family, personal goals, and other priorities. The future team aims to be a world-class, empowered, distributed full-stack engineering organization equipped with tools and infrastructure to do the best work of their careers, including strong design systems, theming, rapid prototyping, AI-powered accessibility remediation, and developer tooling. In this role you will build and lead a high-performing distributed team, scale Atlassian’s in-house translation and localization platform, and partner with design, product, and engineering to embed accessibility, internationalization, and quality standards into platform tools and guardrails while ensuring release hygiene and governance. You will act as the engineering anchor in triad planning with Design, Product Management, and TPM partners, drive roadmap alignment and quarterly capacity, and foster an open, high-trust culture focused on craft excellence and psychological safety. Required background includes 5+ years of experience managing software engineering teams in platform or full-stack domains, a track record mentoring senior engineers, a strong full-stack background (backend services, distributed systems, React, TypeScript), experience with design system infrastructure, localization, or AI-assisted developer workflows, and demonstrated collaboration with design, product, and TPM partners across multiple time zones.

Atlassian supports flexible work arrangements—office, home, or a mix—and hires in any country where it has a legal entity to help employees balance family and personal goals. The future team aims to be a 100-year company by building a world-class, empowered, distributed engineering organization with the tools and infrastructure for the best work of their careers. In this role you will build and mentor a high-performing distributed full-stack team, drive developer experience and platform capabilities across the design system, theming, rapid prototyping, AI-powered accessibility remediation, and developer tooling, and ensure operational excellence, release hygiene, and governance across shared packages and services. You will scale Atlassian's in-house translation and localization platform to improve translation quality, latency, and adoption, supporting global customer experiences, and partner with design, product, and engineering to embed accessibility, internationalization, and quality guardrails into platform tools. Requires 5+ years of experience managing software engineering teams, a strong full-stack background (backend distributed systems and modern web foundations like React and TypeScript), experience with design systems, localization, or AI-assisted developer workflows, and a track record of leading distributed teams across time zones and fostering technical mentorship and high-trust cultures.

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

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

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

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

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

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

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

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

At Atlassian, employees can work from an office, remotely, or in a hybrid arrangement, giving them flexibility to support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. The Product DE organization is seeking a Senior Data Engineer to design premier data architecture and translate business needs into technical requirements while driving overall system efficiency. Responsibilities include partnering across engineering to lead high-impact initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize business data requirements and expectations. The role requires designing scalable data solutions, building efficient ELT/ETL pipelines for large and specialized datasets, creating robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle, including on-call rotation for platform stability. Additionally, you will partner with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires globally where it has a legal entity. The Product DE organization is seeking a Senior Data Engineer who will design premier data architecture and translate operational needs into technical requirements. The role includes leading high-impact, company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to prioritize data requirements. Responsibilities encompass designing scalable data solutions, developing ELT/ETL pipelines for large and specialized datasets, crafting robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle. Additional duties involve on-call participation for platform stability and partnering with software teams to build next-generation data systems enabling rapid, self-service data consumption.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally where they have a legal entity. The role sits on a team delivering the Atlassian Government Cloud (FedRAMP Moderate) for US Public Sector, aiming to maximize customer value while balancing compliance, engineering investment, and market impact with a build-once, authorize-many approach. The team defines and delivers the end-to-end roadmap, partnering with platform, product engineering, security, risk & compliance, legal, and GTM, and engaging with agency sponsors to validate requirements and support migrations. The Product Manager co-creates and sequences the roadmap, translates regulatory controls (NIST 800-53, RMF) into actionable product requirements, drives cross-functional execution, and represents the roadmap in customer forums. They also guide pricing, packaging, and launch readiness, and serve as an internal and external subject matter expert on public sector needs and compliance realities.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. The role sits on a team delivering Atlassian Government Cloud (FedRAMP Moderate) for US Public Sector, with a mission to prioritize and execute a roadmap that maximizes customer value while balancing compliance, engineering investment, and market impact using a build‑once, authorize‑many architecture. The team defines and delivers the end‑to‑end roadmap for Atlassian Government Cloud, partners with core platform, product engineering, security, Risk & Compliance, Legal, and GTM, engages with agency sponsors and public sector partners to validate requirements, secure letters of intent, and support migrations, shapes pricing and commercialization strategies for federal procurement, drives Marketplace and ecosystem readiness, and collaborates with go‑to‑market teams and solution partners for repeatable implementation patterns and reference architectures. The Product Manager will co‑create and sequence the FedRAMP Moderate roadmap with peers, translate regulatory controls (e.g., NIST 800‑53, RMF) into actionable product requirements, drive cross‑functional execution with scope, acceptance criteria, and success metrics, and gather agency feedback in collaboration with field teams. They will also guide pricing, packaging, and launch readiness across marketing, sales, customer success, and support, and serve as an internal and external subject matter expert on public sector needs and compliance realities.

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

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

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity; it is seeking a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for Atlassian’s Developer Infrastructure & Productivity teams. This is a senior-level individual contributor role with department- and portfolio-level scope, focused on turning strategy into measurable customer and business outcomes by aligning senior leaders across functions and establishing operating mechanisms. You will analyze business objectives, customer needs, and industry trends to define a long-term strategy and roadmap, translate objectives into technical systems problems, and define specific systems programs such as capacity planning, migrations, high availability, network architecture, performance, and reliability improvements. You will partner with engineers and architects across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation, manage complex dependencies and the full lifecycle (initiation to forecasting, budgeting, scheduling), and be accountable for program outcomes with reusable systems and coaching. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, the ability to translate business objectives into technical programs, understanding of system flows and APIs, domain knowledge in areas like storage, networking, authentication, and capacity management, plus strong leadership and communication skills; a B.S. in Software Engineering, Computer Science, or a technical discipline is preferred.

Atlassian supports flexible work locations and hires globally in any country where it has a legal entity, and is seeking a Principal Technical Program Manager to lead the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams. This is a senior-level individual contributor role with department- and portfolio-level scope. The role requires bringing clarity to ambiguous problems, aligning senior leaders across functions, and establishing operating mechanisms that translate strategy into measurable customer and business outcomes. You will analyze business objectives, customer needs, adoption inhibitors and opportunities, define a long-term strategy and roadmap for platform components, translate objectives into technical problems, and plan programs such as capacity planning, migrations, high availability, network architecture, and performance and reliability improvements. Minimum qualifications include 8+ years of software-team experience as Development Manager or TPM, ability to translate business objectives into technical programs, technical understanding of systems, willingness to develop domain expertise, non-coding TPM expectations, and strong leadership and communication; preferred qualification is a BS in Software Engineering, Computer Science, or a Technical Discipline.

Atlassian allows flexible work locations and hires in any country where it has a legal entity, and is seeking a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for its Developer Infrastructure & Productivity teams as a senior individual contributor with department- and portfolio-level scope. You will bring clarity to ambiguous business and technical problems, align senior leaders across functions, and establish operating mechanisms that turn strategy into measurable customer and business outcomes, partnering across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation, with work spanning multiple teams and time horizons. You will be accountable for outcomes, elevate the program-management craft through reusable systems, mechanisms, and coaching, analyze business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends, and, in collaboration with stakeholders, define a long-term strategy and roadmap for your platform and product components, translating business objectives into technical systems problems and defining specific programs such as capacity planning, migrations, high availability, network architecture, performance optimization, and reliability improvements. Use your technical understanding to partner with engineers and architects, take a systematic approach to engineering problems by prioritizing tasks, scoping projects, defining objectives, and ensuring progress, and manage the entire lifecycle from initiation to forecasting, budgeting, scheduling, including handling complex dependencies across the company. Minimum qualifications include 8+ years of experience on software teams as a Development Manager or TPM, strategic thinking to translate objectives into technical programs, technical understanding of systems, willingness to develop domain expertise in areas such as storage, networking, authentication, capacity management, and service deployments, with TPMs not required to write code but expected to understand system flows, block architectures, and APIs, plus experience defining and running end-to-end complex technical programs and strong leadership, organizational, and communication skills; preferred qualifications include a B.S. in Software Engineering, Computer Science, or a technical discipline.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or a mix, and hires in any country where they have a legal entity. They are seeking a Principal Technical Program Manager (a senior individual contributor) to shape and deliver the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams, spanning multiple teams and time horizons. The role involves turning business objectives into technical problems, defining a long-term strategy and roadmap, and delivering systemic programs (such as capacity planning, migrations, high availability, network architecture, performance optimization, and reliability) with accountability for outcomes from initiation through budgeting and scheduling. You will partner with leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation to align priorities, manage dependencies, and elevate program management through reusable systems, mechanisms, and coaching. Minimum qualifications include 8+ years on software teams as a Development Manager or TPM, the ability to translate business objectives into technical programs, a solid technical understanding of relevant systems, willingness to develop domain expertise, and strong leadership and communication; a B.S. in Software Engineering, Computer Science, or a technical discipline is preferred.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country with a legal entity; it’s seeking a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with broad scope. The role requires turning strategy into measurable customer and business outcomes by aligning senior leaders across functions such as Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation and establishing operating mechanisms across multiple teams and time horizons; you will be accountable for outcomes, not just project plans, and elevate program-management craft with reusable systems and coaching. You will analyze business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends to define a long-term platform and product roadmap, translating objectives into technical problems and defining specific systems programs with action plans (e.g., capacity planning, migrations, high availability, network architecture, performance optimization, reliability). Use your technical understanding to partner with engineers and architects, take a systematic approach to engineering problems, prioritize tasks, scope projects, define objectives, and manage the full lifecycle from initiation through budgeting and scheduling while managing complex dependencies. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, ability to translate business objectives into technical programs, technical understanding of the relevant systems, willingness to develop domain expertise, non-coding TPM expectations, and strong leadership and communication; preferred qualifications include a B.S. in Software Engineering, Computer Science, or a technical discipline.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. The company is seeking a Principal Technical Program Manager, a senior individual contributor with department- and portfolio-level scope, to shape and deliver the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams and to be accountable for outcomes. The role requires translating business objectives into technical problems, defining a long-term strategy and roadmap for platform components, and planning programs such as capacity planning, migrations, high availability, network architecture, performance optimization, and reliability improvements in collaboration with leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation. Responsibilities include taking a systematic approach to engineering problems, prioritizing tasks, managing the full lifecycle from initiation to forecasting, budgeting, and scheduling, and driving cross-functional dependencies and reusable program-management systems. Minimum qualifications include 8+ years of experience as a Development Manager or TPM, strategic thinking to translate objectives into technical programs, foundational technical understanding of systems (without requiring coding), domain knowledge in areas like storage, networking, capacity management, authentication, etc., and a preferred BS in Software Engineering, Computer Science, or a technical discipline.

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

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

The role is a highly strategic, analytical, and execution-focused Program Manager responsible for leading complex, cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, with ownership, structured problem-solving, executive communication, and the ability to bring clarity in ambiguous environments. You will design and manage a unified transformation operating model and portfolio, maintain a single source of truth across Product, Sales, Success, Strategy, and Operations, and use Atlassian tools to deliver integrated roadmaps and cross-vector dependency tracking for visibility and alignment. You will own program outcomes end-to-end, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and synthesize data into actionable insights and reports on performance, health, and progress. You will apply strategic problem-solving, systems thinking, and data-driven decision-making to identify root causes, resolve obstacles, and provide recommendations that improve impact, efficiency, and organizational outcomes, while effectively communicating with executive stakeholders. You will lead the translation of strategy into actionable plans, establish governance and planning rituals, create program charters and LRP mappings, drive quarterly planning and backlog prioritization, and ensure initiatives are properly sequenced, staffed, and funded.

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

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They’re looking for a Principal Fullstack Software Engineer to join, with this position based in Vancouver, Canada. The role involves understanding the user journey, collaborating with product, design, and engineering to shape product strategy, and guiding the technical direction of large-scale features. You will evaluate trade-offs between correctness, robustness, performance and customer impact; debug inefficiencies; ship well-tested, secure, reliable, and maintainable code; contribute to code reviews, documentation, and complex bug fixes with security and performance in mind; and mentor teammates while raising the team's capabilities. You’ll also work to improve the growth engineering team and identify blockers to engineering excellence through design principles, unit testing, performance engineering, and security/privacy best practices.

Atlassian offers flexible work options, letting employees work from an office, from home, or in a hybrid setup to support personal priorities. They hire globally in any country where they have a legal entity, and this particular role is being filled in Vancouver, Canada. The position is for a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding user journeys, collaborating with product, design, and engineering to influence strategy, guiding the technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, and delivering well-tested, secure, maintainable code, as well as contributing to code reviews, documentation, and complex bug fixes. The role also involves mentoring teammates, improving the growth engineering team, and identifying blockers to software engineering excellence in areas like design principles, unit testing, performance, and security/privacy.

Atlassian allows flexible work locations—office, home, or hybrid—and hires in any country with a legal entity to support personal goals. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, partnering with customers and cross-functional teams to deliver AI-powered solutions. You’ll lead the design, development, and deployment of AI/ML solutions, architect robust integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems. You’ll drive data-driven solution development, champion AI-augmented workflow automation, oversee end-to-end production deployment, navigate AI risk assessment, data privacy (GDPR), and regulatory frameworks, and mentor junior engineers while fostering a culture of innovation and collaboration. This is a high-visibility, high-impact role requiring clear communication of complex technical concepts to technical and non-technical stakeholders and alignment of technical progress with business objectives.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity to better support employees' priorities. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities, working with product, engineering, and design to grow technical and domain expertise and drive meaningful business outcomes. This is a high-visibility, high-impact role suited for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork. Your responsibilities include leading the design, development, and deployment of AI/ML solutions, building robust integrations, driving data-driven insights, promoting AI-augmented workflow automation, managing end-to-end production deployment with risk and compliance considerations, mentoring others, and communicating complex concepts to technical and non-technical stakeholders while aligning outcomes with business objectives.

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

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

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

At Atlassian, employees can work in-office, remotely, or in a hybrid arrangement, with the flexibility to support family and personal priorities, and the company hires in any country where they have a legal entity. Loom is Atlassian’s async video product that lets teams share quick video updates instead of long messages or calls, and it integrates with Confluence while offering AI-generated transcripts and summaries through Rovo to preserve context. Loom is now part of Atlassian and is expanding how async video enables collaboration across time zones and with AI agents. Joining the Loom Analytics team involves shaping the product’s direction at the crossroads of product strategy, customer insight, and experimentation, working with cross-functional partners to be a trusted strategic partner. The role focuses on quantitative analysis, hypothesis development, testing opportunities to improve products and the business, forecasting and monitoring key metrics, influencing roadmaps, and communicating insights to leadership.

- Atlassian allows employees to work in an office, from home, or in a hybrid setup, and hires in any country where the company has a legal entity. - Loom, Atlassian’s async video product, lets teams share quick video updates instead of long messages or meetings, and now integrates with Confluence while offering AI-generated transcripts and summaries via Rovo. - Loom is used by millions across time zones and is entering a new phase to expand how async video helps people and AI agents collaborate. - Joining the Loom Analytics team means shaping product direction through collaboration with cross-functional partners and applying quantitative analysis, experimentation, and hypothesis testing to guide decisions. - The role involves defining opportunities, forecasting and monitoring key metrics to measure success, using data to drive product development, and communicating insights broadly to leadership.

As a Principal Data Scientist on Atlassian's Global Experiences Data Science team, you’ll sit at the intersection of cutting-edge analytics and Atlassian’s most customer-facing products, reporting to the Manager of Global Experiences Data Science. This is a high-impact, high-visibility role that leads the full data science lifecycle—from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. You’ll define and drive the data science strategy for your product area, translate ambiguous business problems into rigorous analytical frameworks, and lead end-to-end development of ML models and statistical analyses. Responsibilities include owning experimentation infrastructure (A/B test design, power analysis) and interpretation of results at scale, surfacing high-impact opportunities to shape roadmaps, and mentoring junior and mid-level data scientists. You’ll serve as the technical authority for data science within the team, setting standards for modeling approaches, code quality, and analytical rigor, while collaborating cross-functionally to define metrics frameworks, guardrails, and to promote best practices in feature engineering, model monitoring, and responsible AI.

You will be the Principal Data Scientist on Atlassian's Global Experiences Data Science team, sitting at the intersection of cutting-edge analytics and customer-facing products to shape how millions of users experience Atlassian's suite. You will lead the full data science lifecycle—from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. You will define and drive the data science strategy for your product area, lead end-to-end ML development, and partner with Product, Engineering, and Design to embed data-driven decision-making into the product lifecycle. You will own experimentation infrastructure and methodology (A/B test design, power analysis, and interpretation of results at scale) and identify high-impact opportunities through exploratory analysis to influence roadmap prioritization and business strategy. You will serve as the technical authority for data science within your team, mentor junior and mid-level data scientists, contribute to hiring and capability-building, communicate findings to executives, and drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams.

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

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

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

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

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity, aligning with family, personal goals, and other priorities. The Mid-Market sales team manages a portfolio of mid-sized customers (200-10,000 seats), focusing on cloud-first opportunities, cross-sell and expansion, while advocating for customers to provide feedback to product and engineering. In this role you’ll own a book of about 30-40 accounts, carry a $1.5-3M annual quota, and lead a cross-functional deal team as the quarterback to create territory and account plans and serve as the primary contact. You’ll build executive relationships across IT, business, sales, and marketing; use MEDDPICC to qualify and win complex opportunities via outcome-based selling; and collaborate with channel, marketing, product, and customer success to maximize satisfaction. You’ll also source and qualify leads, forecast accurately, stay updated on industry trends and competitors, travel occasionally for meetings and events, and embody Atlassian values while guiding customers’ deployment at scale.

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

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity; Jira sits at the heart of Atlassian’s System of Work, evolving into an intelligent partner for how modern work gets done. The Jira Design team is looking for a Lead Product Designer, reporting to a Senior Design Manager, to contribute across Australia and North America and lead strategic, end-to-end design work for Jira within the Teamwork Collection. You’ll conceptualize and deliver industry-leading experiences, mentor the Jira design team, set a cohesive vision, manage interconnected projects, and drive AI-enabled Jira workflows and agent tooling integration. Your work will impact 10+ million users, involving collaboration with engineers, product managers, researchers, and brand/marketing to unify Jira with the broader Teamwork collection and advance Atlassian’s System of Work. Requirements include 7+ years of product design for complex software, strong visual craft and prototyping, AI-native workflow experience, end-to-end UX, storytelling, user research, cross-functional facilitation, outcomes measurement, and stakeholder management.

- Atlassian lets employees work from the office, at home, or in a hybrid setup, and hires in any country with a legal entity to support personal priorities and family goals. - Jira is the beating heart of Atlassian’s System of Work, evolving into an intelligent partner for modern work and unifying context, capabilities, and agentic workflows—enriched by the Teamwork Graph and powered by Rovo, 1P, and 3P agents. - The Jira Design team is seeking a Lead Product Designer to contribute across Jira, reporting to a Senior Design Manager, and collaborating with teams in Australia and North America. - You’ll design end-to-end experiences, mentor the design team, lead strategic initiatives, and own the design process from strategy to UI to ensure cohesive, customer-focused outcomes while advancing AI-native features and integrations across Jira, Rovo, and third-party agent tooling. - The role requires 7+ years of product design experience, strong visual craft and prototyping, AI-native workflow experience, end-to-end UX, storytelling, user research, cross-functional collaboration, and the ability to define success metrics, manage stakeholders, and drive complex projects balancing user needs with business goals.

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

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. The company is seeking a Lead Product Designer to join the AI Design team, working on AI experiences across Atlassian, including Rovo, with the team primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across the Jira, Confluence, and Loom apps on applied AI, and modeling AI-driven design practices to empower the design organization. You will partner with leadership and cross-functional teams to create a unified view of AI capabilities across Atlassian, and collaborate with engineers, product managers, content designers, researchers, marketing experts, and analysts to advocate for the user experience and deliver high-quality work. Requirements include 7+ years of product design experience in complex or enterprise software, experience with applied AI in product experiences such as Search, AI Chat, and Agents, the ability to balance customer needs with business goals, market viability, and technical feasibility, and strong systems thinking to integrate multiple teams, solicit feedback, and accelerate adoption of new capabilities.

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

Atlassian is seeking a Customer Success Manager with Spanish proficiency to help customers realize value, align on strategic goals, and achieve early and sustained outcomes through scalable methodologies that support product adoption, solution expansion, and long-term growth. The CSM will build trusted relationships, understand the Atlassian customer journey, guide complex customers, and deliver value through proactive, programmatic engagement and best practices across multiple products and solution areas with executives, administrators, and global teams. The role is fully remote across the Americas time zones and involves collaborating with the account team to develop Customer Success Plans, including regular check-ins, Executive Business Reviews, and strategic planning. Responsibilities include post-sales activity, maintaining product knowledge to discuss relevant features, enabling early adoption, mitigating churn with the Account Associate, and acting as the Voice of the Customer for internal feedback. Fluency in English and Spanish is required to serve customers in Spanish-speaking LATAM and the United States.

Atlassian is hiring a remote, Spanish-speaking Customer Success Manager to help customers realize value from their Atlassian investments by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. The CSM will build trusted advisor relationships across the customer journey, guiding complex customers—executives, administrators, and global teams—through hurdles and ensuring ongoing value across multiple products and solution areas. The role requires collaboration with the account team to develop Customer Success Plans, conduct regular check-ins and Executive Business Reviews, and manage post-sales activity while staying current on offerings. Key duties include mitigating churn through early risk identification and escalation with the Account Associate, delivering proactive engagement, and serving as the Voice of the Customer to inform internal improvements. The position is fully remote across the Americas, requires fluency in English and Spanish to serve LATAM and US customers, and emphasizes delivering SaaS enterprise outcomes throughout the customer lifecycle.

Atlassian lets employees choose where to work—from office, from home, or a hybrid setup—and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Digital & Agentic Success team aims to scale customer success through data, automation, and AI-driven orchestration by building the systems, intelligence, and operating models that turn complex signals into proactive journeys. The Agentic Success Portfolio Lead will bridge data engineering, data science, AI workflows, and customer journey orchestration to support customers at scale with digital, agentic, and human interventions. Responsibilities include building the Digital Success OS, turning product telemetry and other signals into actionable plays and handoffs, closing ownership gaps, and maintaining architecture principles and change-control processes to protect delivery momentum. You will own data foundations and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation, collaborating with teams like Data Engineering, RevOps, CS AI, and Gainsight.

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

Atlassian offers flexible work locations (office, home, or hybrid) to help employees balance family, personal goals, and other priorities, but the role requires you to be located in the UK, Germany, or the Netherlands and relocation isn’t offered. Atlassian is hiring a Pre-Sales Solutions Engineer for the Emerging Markets Team, focusing mainly on Africa, who will be a product expert in the sales cycle and help solve customers' hardest business problems with Atlassian products to close enterprise deals. In this role, you will partner with account teams and channel partners to conduct customer discovery, identify business problems, and map them to Atlassian products and solutions, including cross-product expansion. You will lead value-based demonstrations, articulate the value of the software, understand the customer’s technical needs, and gain buy-in that Atlassian is the right decision, while forging strong partnerships with sales counterparts. You will also document product feedback and competitive intelligence, advocate for internal product development, and continuously learn and refine pre-sales knowledge, solution offerings, and sales processes.

Atlassian allows flexible work locations—office, home, or hybrid—to support personal priorities, but the role must be based in the UK, Germany, or the Netherlands, and there is no relocation assistance. Atlassian is seeking a Pre-Sales Solutions Engineer for the Emerging Markets Team with a primary focus on Africa. The role is to be a product expert in the sales cycle, solve customers' hardest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with account teams and channel partners for customer discovery, mapping needs to Atlassian solutions, identifying cross-product opportunities, uncovering client pain points, leading value-based demonstrations, and guiding technical requirements to gain buy-in. Additional duties involve forging strong sales partnerships, documenting product feedback and competitive intelligence, advocating for product management, and continuously learning and refining pre-sales knowledge and processes.

Atlassian allows flexible work arrangements (office, home, or hybrid) but for this role you must be located in the UK, Germany, or the Netherlands, and relocation is not offered. Atlassian is seeking a Pre-Sales Solutions Engineer for the Emerging Markets Team with a focus on Africa to be a product expert in the sales cycle and help close enterprise deals. You will partner with account teams and channel partners to discover customers' current state and business problems, mapping them to Atlassian products and uncover cross-product opportunities. You will lead value-based product demonstrations, articulate the value of Atlassian software, and guide customers' technical needs to gain buy-in. You will document product feedback and competitive intelligence, advocate for development with product management, foster strong sales partnerships, and continuously learn and refine pre-sales knowledge and processes.

Atlassian supports flexible work locations, allowing staff to work from an office, from home, or a mix to balance personal priorities. The role requires you to be located in the UK, Germany, or the Netherlands, and relocation support is not offered. Atlassian is hiring a Pre-Sales Solutions Engineer for the Emerging Markets Team with a primary focus on Africa, aimed at solving customers’ toughest business problems and helping close enterprise deals. Responsibilities include partnering with account teams and channel partners to discover the customer’s current state, map their needs to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations. You will also understand and guide the customer’s technical needs, forge strong sales partnerships, document product feedback and competitive intelligence, and continuously learn and refine pre-sales, product, and solution knowledge.

Atlassian offers flexible work options—office, home, or a mix—and hires globally where it has a legal entity, with this fully remote role located in British Columbia, Canada (Pacific Time alignment preferred). The company aims to be a 100-year organization and is building a world-class engineering team focused on AI and helping customers transition to the cloud, delivering value across Loom, Jira, Confluence, Trello, and Bitbucket. The role is on the Loom Integration Platform and Billing Engineering team, which builds monetization, subscription workflows, and platform-migration services to connect Loom with the Atlassian cloud and enables seamless migrations, scalable billing, and monetization experiments at global scale. You will design, build, and ship end-to-end features across the stack in a scalable cloud environment, create high-performing UI with JavaScript/TypeScript and React, develop backend microservices and REST APIs for billing and subscriptions, integrate with payment and identity systems, and ensure observability, reliability, and secure testing through agile practices and code reviews. Requirements include 2–4+ years of experience with JavaScript/TypeScript and React, backend microservices and REST APIs (Node.js, TypeScript, Java, or Python), relational or NoSQL databases, cloud platforms (AWS), Docker and CI/CD, and testing frameworks, plus strong remote collaboration skills; nice-to-haves include billing/payments experience and familiarity with GitHub/Bitbucket/Jira/Confluence.

Atlassian offers flexible work options and hires globally where it has a legal entity; this role is fully remote but must be located in British Columbia, Canada, with Pacific Time zone alignment preferred. The company aims to be a 100-year organization and is building a world-class engineering group focused on AI and helping customers transition to the cloud, delivering value across Loom, Jira, Confluence, Trello, and Bitbucket. The Loom Integration Platform & Billing Engineering team builds and scales monetization, subscription workflows, and platform migration services to connect Loom with the Atlassian cloud, enabling seamless workspace migrations and scalable billing operations. In this role you will design, build, and ship end-to-end features across the stack in a scalable cloud environment; create UI with JavaScript/TypeScript and React; implement backend microservices and REST APIs for billing/subscriptions; integrate with payment and identity systems; and maintain observability, monitoring, and security while participating in agile ceremonies and code reviews. Requirements include 2–4+ years of professional software engineering experience, proficiency in JavaScript/TypeScript and modern frontend frameworks (e.g., React), backend experience with microservices and REST APIs, databases (PostgreSQL/MySQL NoSQL), cloud platforms (AWS), containerized workflows (Docker/CI/CD), and testing frameworks (Jest/Cypress/Mocha), plus strong remote communication; nice-to-haves include billing/payments experience and familiarity with GitHub, Bitbucket, Jira, and Confluence.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with this role specifically welcoming applicants from all regions of the Netherlands. The position is Senior Solution Executive, Enterprise AI for the Benelux and Nordics regions, reporting to the Regional Head of Solution Sales for the Teamwork Collection. You will own a named enterprise account territory across Benelux and Nordics, developing and executing a consultative sales strategy to drive adoption of Atlassian’s Teamwork Collection (AI-powered suite including Jira, Confluence, Loom, and Rovo). You’ll collaborate cross-functionally with Account Executives, SDRs, Solution Engineers, strategic partners, and Customer Success to uncover expansion opportunities, articulate the integrated value against competitors, and feed competitive and product insights back to engineering while managing the pipeline in Salesforce. Atlassian highlights its 350,000+ customer base and promotes a unselfish, team-first leadership culture within its GTM organization.

Atlassian offers flexible working options (office, remote, or hybrid) and hires in any country with a legal entity, welcoming applicants from all regions of the Netherlands for this role. They’re seeking a Senior Solution Executive, Enterprise AI for the Benelux and Nordics regions, reporting to the Regional Head of Solution Sales for the Teamwork Collection. Atlassian supports 350,000+ organizations, including KLM/Air France, Mercedes, and NatWest, with the AI-powered Teamwork Collection that connects goals, work, and knowledge across Jira, Confluence, Loom, and Rovo. The role involves owning a named enterprise territory, leading end-to-end consultative sales to drive adoption of Teamwork Collection, positioning it against competitors, and collaborating cross-functionally to uncover expansion opportunities and feed customer insights back to product and engineering. You’ll manage pipeline and territory planning in Salesforce, communicate progress and blockers clearly, and demonstrate unselfish, team-first leadership aligned with Atlassian’s GTM culture.

Atlassian offers flexible work location options (office, home, or hybrid) and hires in any country where they have a legal entity. As a Senior Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions that drive real business outcomes. You’ll partner with top organizations across industries, leveraging Atlassian’s AI capabilities to solve complex real-world problems and shape product direction through close customer collaboration. The role entails coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, and architecting robust integrations with Python or JavaScript for enterprise-scale systems, emphasizing APIs and microservices. It also includes navigating AI risk and data privacy requirements (GDPR and regulatory frameworks), mentoring other FDEs, and communicating technical concepts clearly to stakeholders to align technical progress with business objectives.

Atlassian offers flexible work options (office, home, or a mix) and hires in any country where it has a legal entity, giving employees more control over personal priorities. The Senior Principal Forward Deployed Engineer (FDE) role puts you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and shape business outcomes. You’ll code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, and architect robust integrations with Python or JavaScript for enterprise-scale systems. You’ll influence product direction through customer collaboration, champion AI-augmented workflow automation, oversee end-to-end production deployments, and navigate risk, privacy, and regulatory considerations. You’ll mentor other engineers, translate complex concepts for technical and non-technical stakeholders, and align technical progress with clear business objectives and measurable results.

Atlassian supports flexible work arrangements, allowing employees to work in-office, from home, or a hybrid, with virtual interviews and onboarding as part of being a distributed-first company and the ability to hire in any country where they have a legal entity. The company’s growth in the service management market is accelerating, led by Jira Service Management, with channel partners playing an essential role in customer success. The Sr. Partner Solutions Architect will join an established team to help Solution Partners build an enterprise-focused JSM service business and professional services, collaborating with Partner & Alliance teams, partner managers, marketing, sales, and product. Responsibilities include developing the solution acceleration strategy, creating collateral such as ESM solutions, blueprints, and reference architectures, and supporting partners through the deal cycle with technical expertise and thought leadership. The role also involves developing partner account strategies, sharing resources and market feedback with product management, delivering enablement workshops, and representing Atlassian at conferences and partner events to drive partner success.

At Atlassian, employees can work wherever they prefer—office, home, or a mix—while the company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of being distributed-first. The company is growing in the service management market, driven by Jira Service Management, and channel partners are essential to that growth. They are seeking a Sr. Partner Solutions Architect to help grow channel partners focused on service management, leveraging pre-sales to post-sales experience and architectural skills. The role involves working in the Partner Solutions Acceleration team to develop strategy, create collateral, support deals at all stages, and partner with Channel teams to craft compelling account strategies within the partner community. It also includes feeding product feedback, delivering technical enablement workshops, and providing thought leadership while representing Atlassian at conferences and partner events.

Atlassian supports distributed work, allowing employees to work in an office, from home, or in a hybrid arrangement, with virtual interviewing and onboarding and hiring in any country where they have a legal entity. The company is accelerating in the service management market, led by Jira Service Management, with channel partners playing a critical role in customer success. They are seeking a Sr. Partner Solutions Architect to help grow ITSM/ESM channel partners and build an enterprise-focused JSM services business. Responsibilities include developing a solution acceleration strategy, creating collateral and reference architectures, supporting partners through deals from sourcing to post-sales, and collaborating with Channel teams to drive JSM adoption. They will also contribute to evolving practices, provide market feedback to product management, deliver partner enablement workshops, and participate in thought leadership and partner events.

At Atlassian, flexible work options are available (office, home, or hybrid), and they hire in any country with a legal entity; this particular role is fully remote but must be located in India. They are seeking a Senior Full Stack Software Engineer to join the team and deliver creative improvements for their engineering efforts. The company aims to become a 100-year organization with empowered, world-class engineering within a unified R&D team focused on cloud adoption and delivering value across Jira, Confluence, Trello, and Bitbucket. Responsibilities include guiding technical direction for large-scale features, evaluating trade-offs for correctness, robustness, performance, and customer impact, collaborating with product, design, and engineering, and shipping secure, reliable, and maintainable code while addressing production issues. The role also involves contributing to code reviews, documentation, and complex bug fixes with security and performance in mind, and mentoring teammates to raise their skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity; this role is fully remote but must be located in India. They’re seeking a Senior Full Stack Software Engineer to deliver creative improvements for their engineering teams. The team is part of a world-class, unified R&D organization aimed at moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket. You will guide the technical direction for large-scale features, evaluate trade-offs between correctness, robustness, performance, and customer impact, collaborate to influence product strategy, and ship well-tested, secure, reliable, and maintainable code while addressing production issues. You will contribute to code reviews, documentation, and complex bug fixes with security and performance in mind, and mentor teammates to raise their skills.

Atlassian supports flexible work locations, allowing office, remote, or hybrid arrangements, and hires in any country where it has a legal entity. The Principal Customer Success Manager in the Strategic Segment helps customers realize value from their Atlassian investment by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. You’ll build trusted C-suite relationships, guide complex enterprise customers across multiple products, and collaborate with global, multi-layered teams to support successful adoption and value realization. Responsibilities include developing customer success plans with regular check-ins and quarterly business reviews, navigating complex implementations with partners, maintaining product knowledge, and mitigating churn through early risk identification and proactive intervention. With a customer base of over 300,000 worldwide, Atlassian emphasizes teamwork and value delivery, acting as the voice of the customer to inform internal improvements and maximize strategic customers’ outcomes.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, enabling employees to support family, personal goals, and other priorities. They are seeking a Principal Customer Success Manager in the Strategic Segment to help customers realize value from their Atlassian investment by delivering standard methodologies at scale that drive product adoption, solution expansion, and long-term growth. The Principal CSM will build relationships across the customer journey, guide complex customers through hurdles, deliver value realization through proactive and programmatic engagement, and leverage solution expertise across multiple products and practice areas. You’ll work with diverse customer profiles, including C‑level executives and global teams, to support adoption and expansion of Atlassian solutions, within a portfolio that includes NASA, IBM, HubSpot, Samsung, Coca‑Cola, and others, and in a culture that values teamwork. Responsibilities include developing trusted advisor relationships with executives, creating and executing Success Plans with regular check-ins and QBRs, navigating multi-partner enterprise implementations, staying current on products, driving adoption and footprint expansion, mitigating churn through early risk identification and escalation, and acting as the Voice of the Customer to provide internal feedback for better serving Strategic customers.

Atlassian lets employees choose where they work—office, remote, or hybrid—and hires in any country where it has a legal entity to support family, personal goals, and other priorities. They are seeking a Senior Backend Software Engineer to join and deliver creative improvements for engineering teams. The future team is building a world-class engineering organization with empowered teams and the tools and infrastructure to do their best work, prioritizing AI initiatives and customers' transition to the cloud while delivering value through Jira, Confluence, Trello, and Bitbucket. In this role you will drive large, complex projects autonomously from design to launch, tackle architecture challenges, apply standards, lead code reviews and documentation, fix high-risk bugs, and partner across engineering teams on company-wide initiatives spanning multiple projects. You will transfer your depth of knowledge from your current language to excel as a Java developer and mentor junior members of the team.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They’re seeking a Senior Backend Software Engineer to join the team, passionately focused on delivering creative improvements for engineering teams. The company aims to be a 100-year organization by building a world-class engineering culture, prioritizing AI initiatives and customers’ cloud transitions across Jira, Confluence, Trello, and Bitbucket. In this role you will drive large, complex projects from design to launch, tackle architecture challenges, lead code reviews and documentation, fix high-risk bugs, mentor juniors, transfer knowledge to Java, and collaborate across teams on company-wide initiatives. Atlassian emphasizes collaboration and empowering teams with the tools and infrastructure to do their best work and create maximum value for customers.

Atlassians can work in the office, from home, or in a hybrid setup, with interviews and onboarding conducted virtually as part of being a distributed-first company; this remote role requires you to be located in the UK or NL. The role is a Sales Development Representative who partners with Account Executives to build and maintain the Mid-Market sales pipeline, working in close coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. Key responsibilities include outbound prospecting, carrying quotas, and converting prospects into pipeline, as well as qualifying customer leads through proactive outreach and research. You will conduct cold calls, emails, and other outreach to engage decision makers, collaborate with sales, marketing, partner and operations teams to develop lead generation strategies, navigate objections with value-driven messaging, and articulate the product’s value proposition. You will establish communication with prospects, craft personalized emails, build your pipeline with Enterprise Advocates and Enterprise Marketing teams, and use tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work in an office, from home, or in a hybrid arrangement, with hiring across any country where the company has a legal entity and interviews and onboarding conducted virtually as part of being distributed-first. This role is a remote position that requires the candidate to be located in the UK or the Netherlands to help teams work together effectively. The Sales Development Representative (SDR) works with Account Executives to build and manage the Mid-Market sales pipeline, in coordination with Sales Operations and Marketing, and reports to a Sales Development Manager. Key responsibilities include outbound prospecting, qualifying leads, conducting cold calls and emails, developing lead-generation strategies with cross-functional teams, overcoming objections with value-driven messaging, and articulating the product's value proposition. You will build your pipeline in partnership with Enterprise Advocates and Enterprise Marketing teams and use tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work flexibly from an office, home, or a mix, as part of being a distributed-first company where interviews and onboarding are conducted virtually. This role is remote but must be located in the UK or Netherlands, and the company does not offer visa sponsorship; candidates must have the right to work there without sponsorship. The position is Sales Development Representative for the Mid-Market segment, partnering with Account Executives to build a sales pipeline, in coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. Responsibilities include outbound prospecting, quota carrying, converting leads into pipeline, qualifying leads via proactive outreach, and conducting cold calls and emails to engage decision makers; collaborate with sales, marketing, partners, and operations to develop lead generation strategies; navigate objections with value-driven messaging; and articulate the value proposition of the products. Candidates should have experience engaging prospects, writing personalized emails, building pipelines with Enterprise Advocates/Enterprise Marketing, and using tools such as Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians can work from the office, home, or a hybrid, as part of a distributed-first company with virtual interviews and onboarding, and this is a remote position that requires being located in the UK or Netherlands, with no visa sponsorship offered. The role is for Sales Development Representatives who partner with Account Executives to build a Mid-Market sales pipeline, working closely with Sales Operations and Marketing and reporting to a Sales Development Manager. Responsibilities include outbound prospecting with a quota, qualifying leads through proactive outreach and research, and performing cold calls and emails to engage decision makers. You’ll collaborate with sales, marketing, partner, and operations teams to develop lead generation strategies, navigate objections with value-driven messaging, and articulate the value proposition of Atlassian’s products. The ideal candidate will have experience engaging prospects, writing personalized emails, building a pipeline with Enterprise Advocates and Enterprise Marketing teams, and using tools like Salesforce, Gong, Outreach, and LinkedIn Navigator.

Atlassians offer flexible work arrangements and can hire globally where we have a legal entity, with interviews and onboarding conducted virtually as part of our distributed-first approach. This is a remote role that requires you to be located in the UK or Netherlands, and we cannot offer visa sponsorship; candidates must have the right to work there. In this role, Sales Development Representatives partner with Account Executives to build a mid-market sales pipeline while ensuring a delightful customer experience, reporting to a Sales Development Manager and coordinating with Sales Operations and Marketing. You will be accountable for outbound prospecting, a quota-bearing role, converting leads into pipeline by qualifying customer business leads through proactive outreach and research, and conducting cold calls and other outreach to engage decision makers, while collaborating with sales, marketing, partner, and operations teams to develop lead generation strategies and navigate objections with value-driven messaging. You will articulate the value proposition of our products, write personalized emails to delight customers, build your pipeline with Enterprise Advocates and Enterprise Marketing teams, and work with Salesforce, Gong, Outreach, and LinkedIn Navigator.

1) Atlassians can work flexibly—office, home, or hybrid— with interviews and onboarding conducted virtually as part of a distributed-first approach. 2) This remote position requires being located in the UK or Netherlands, and we cannot offer visa sponsorship; candidates must have the right to work there without sponsorship. 3) The role is Sales Development Representative, partnering with Account Executives to build the Mid-Market sales pipeline in coordination with Sales Operations and Marketing, and reporting to a Sales Development Manager. 4) Responsibilities include outbound prospecting, a quota-carrying role, qualifying leads through proactive outreach and research, conducting cold calls and emails to engage decision makers, collaborating with sales, marketing, partners and operations to develop lead generation strategies, navigating objections with value-driven messaging, and articulating the product value proposition. 5) You will build your pipeline with Enterprise Advocates and Enterprise Marketing teams and work with Salesforce, Gong, Outreach, and LinkedIn Navigator.

- Atlassian offers flexible work options (office, remote, or hybrid) and this role is fully remote but UK-based, with virtual interviews and onboarding as part of their distributed-first approach. - As a Principal Value Management Advisor in the Value Management Office (VMO), you will lead strategic value engagements that shape Atlassian’s most critical customer relationships in the EMEA region. - You will set the benchmark for value management craft, drive innovation at scale, and act as a thought leader and trusted advisor to senior executives both within Atlassian and across our customer base. - Your influence will extend across teams, functions, and geographies to ensure Atlassian’s value proposition is clearly articulated in complex, high-stakes environments. - You will build influential relationships with decision-makers, analyze customer data to create business cases and metrics, uncover value drivers, deliver executive-level content to C-level stakeholders, contribute to the design of new VMO offerings, and serve as a trusted advisor to sales leadership and customers while sharing thought leadership on value-based selling.

Atlassian offers flexible work options, including a fully remote role based in the UK with interviews and onboarding conducted virtually as part of a distributed-first approach. As Principal Value Management Advisor in the Value Management Office (VMO), you will lead strategic value engagements shaping Atlassian’s most critical customer relationships in the EMEA region. You will set the benchmark for value management craft, drive innovation at scale, and act as a thought leader and trusted advisor to senior executives—both within Atlassian and across our customer base. Your influence will extend across teams, functions, and geographies, ensuring Atlassian’s value proposition is clearly articulated in complex, high-stakes environments. You’ll build influential relationships with key decision-makers, analyze customer data to identify opportunities and develop business cases and metrics, demonstrate discovery to uncover value drivers, create and deliver executive-level presentations to C-level executives, contribute to new VMO solutions, build cross-team trust, and develop thought leadership to support value-based selling.

- Atlassian offers flexible work options (office, home, or a hybrid approach) and hires in any country where it has a legal entity. - They are seeking a Principal Fullstack Software Engineer to join the team, with the position based in Vancouver, Canada, focused on delivering creative improvements for engineering teams. - Responsibilities include understanding the user journey and collaborating with product, design, and engineering to influence product strategy and guide the technical direction of large-scale features. - The role requires evaluating trade-offs between correctness, robustness, performance, and customer impact, debugging team inefficiencies, and shipping well-tested, secure, reliable, and maintainable code with the customer’s best interests in mind. - Additional duties include contributing to code reviews, documentation, and complex bug fixes with security and performance considerations, mentoring teammates, improving the growth engineering team, and identifying blockers to uphold software engineering excellence (design principles, unit testing, performance engineering, and security/privacy best practices).

At Atlassian, employees can work in an office, from home, or a mix, giving them flexibility to balance family, personal goals, and priorities, and the company hires in any country where it has a legal entity. They’re seeking a Principal Fullstack Software Engineer to join the team, passionately focused on delivering creative improvements for engineering teams, with the position based in Vancouver, Canada. The role involves understanding the user journey and funnel, and collaborating with product, design, and engineering to influence product strategy and direction. You will guide the technical direction and implementation of large-scale product features, evaluate trade-offs for correctness, robustness, performance, and customer impact, debug inefficiencies, ship well-tested and secure code, and contribute to code reviews, documentation, and complex bug fixes with security and reliability in mind. You will mentor teammates, help grow the growth engineering team, and identify blockers to ensure software engineering excellence in design principles, unit testing, performance engineering, and security/privacy practices.

Atlassian offers flexible work locations and hires globally in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI in a high-visibility, high-impact role, working with customers and cross-functional teams to deliver AI-powered solutions and influence business outcomes. You’ll lead the design, development, and deployment of AI/ML-powered solutions, architect robust integrations using Python or JavaScript—focusing on APIs, microservices, and enterprise-scale systems—and drive data-driven product direction. You’ll champion AI-augmented workflow automation, oversee end-to-end production deployment with ongoing evaluation and improvement, and navigate AI risk, data privacy (GDPR), and regulatory compliance. You’ll mentor junior engineers, communicate complex technical concepts clearly to stakeholders, and align technical solutions with business objectives to set a vision for progress and measurable results.

At Atlassian, you can choose to work in an office, from home, or a hybrid setup, with global hiring in any country where the company has a legal entity, giving you flexibility to support family and personal goals. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and partnering with top organizations to solve real-world problems. 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. You will lead the design, development, and deployment of AI/ML solutions, architect robust integrations using Python or JavaScript, drive data-driven insights, and champion AI-augmented workflow automation. You’ll also oversee end-to-end deployment, navigate risk and compliance (including GDPR), mentor junior engineers, communicate complex technical concepts to stakeholders, and align technical progress with clear business objectives and measurable results.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country with a legal entity, with a Bengaluru office but remote work across India for eligible candidates. The company is looking for a Principal Backend Software Engineer to join the team, focused on delivering creative improvements for engineering teams. The future team aims to be a 100-year company with a world-class engineering organization, empowering teams with the tools and infrastructure to do their best work, prioritizing AI initiatives and cloud transitions, and delivering value through Jira, Confluence, Trello, and Bitbucket. In this role, you'll tackle the largest and most complex problems from design to launch, deliver cross-team solutions, plan large projects, address architecture challenges, apply standards, lead code reviews and high-risk bug fixes, set the standard for code quality, and mentor junior teammates. You’ll also transfer knowledge across languages and collaborate across engineering teams on company-wide initiatives.