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Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products and to earn and maintain customer trust at scale. As Senior Manager, you will lead an AMER-based team, collaborate with Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to trust and security practices, processes, and customer engagement, including acting as the primary contact for strategic & enterprise escalations and supporting executive briefings. You will contribute to strategic planning, shape an enterprise strategy aligned with Atlassian’s Trust objectives, drive tooling and process improvements, and support legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in management roles across Security/Governance/Risk/Compliance, proven leadership and cross-functional influence, experience scaling trust programs, use of AI tools to improve efficiency, familiarity with AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with Regulatory Compliance, Global Privacy, and Large-scale Cloud solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity; the Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive the growth and expansion of how Atlassian earns and maintains customer trust, overseeing the team's interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. They will focus on enhancing Trust & Security practices, improving internal processes, influencing product features, and strengthening customer engagement, while enabling customers' trust by meeting diverse expectations regarding Atlassian Cloud products. Responsibilities include providing leadership for an AMER-based team, contributing to strategic planning with senior leadership, driving scalable processes and tooling, partnering cross-functionally, serving as the primary contact for strategic and enterprise customer escalations, and supporting executive briefings and security/compliance negotiations for customer agreements. The role requires 10+ years in security/governance/risk/compliance management, experience mentoring high-performing teams, ability to influence cross-functional teams, experience scaling trust programs, familiarity with AI tools and AI security/compliance considerations, knowledge of certifications (FedRAMP, ISO 27001, PCI-DSS), and experience in Regulatory Compliance, Global Privacy Programs, Cloud Security, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where the company has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers conduct risk assessments to trust Atlassian Cloud products and to continually improve the Trust Program. - As Senior Manager, you will lead an AMER-based team, drive growth of customer trust, oversee cross-functional interactions with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, and influence internal processes and product features to strengthen customer engagement. - You will serve as the primary contact for strategic and enterprise customer escalations, support executive briefings, and work with Legal to negotiate security and compliance terms while driving process improvements and post-incident reviews. - The role requires 10+ years in management across Security, Governance, Risk, and Compliance; experience scaling trust programs; strong cross-functional influence; familiarity with AI tools and AI security considerations; and knowledge of certifications (e.g., FedRAMP, ISO 27001, PCI-DSS) plus experience with large-scale enterprise cloud solutions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role is Senior Manager in the globally distributed Trust Engagement team, a group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. You will lead an AMER-based team and partner with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support to improve processes, tooling, and customer engagement, and serve as the primary contact for strategic and enterprise escalations and executive briefings. You will contribute to strategic planning for the Trust Engagement function and support legal in negotiating security and compliance terms for Atlassian Customer Agreements. The candidate should have 10+ years of management experience in Security, Governance, Risk, and Compliance (GRC), a track record of scaling trust programs across large organizations, experience with AI tools and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience in regulatory compliance, global privacy programs, and cloud security for large-scale enterprise solutions.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products, and the team is growing to strengthen its trust program and narrative. As Senior Manager, you will drive growth and expansion of how the company earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead a high-performing AMER-based team. You will lead strategic planning, process and tooling improvements, cross-functional partnerships, manage strategic and enterprise escalations, support executive briefings, and assist legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security/privacy considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, along with experience in regulatory compliance, global privacy programs, and large-scale enterprise cloud solutions.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, and hires people in any country where it has a legal entity. The role is Senior Manager, Trust Engagement, leading a globally distributed team of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products, with collaboration across Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. You will provide leadership to a high-performing AMER-based team, shape strategic planning for the Trust Engagement function, drive process, tooling, and reporting improvements, and act as the primary contact for Strategic & Enterprise customer escalations. You will support Atlassian Executive Briefings, assist in negotiating security and compliance terms for Customer Agreements, and require 10+ years in security/governance/risk/compliance with cross-functional influence and a track record of scalable programs, plus experience using AI tools to improve efficiency and familiarity with AI security/compliance considerations and relevant certifications. The role aims to enhance customer trust at scale by improving internal processes and product features to meet current and future customer expectations.

- Atlassians can work in-office, from home, or hybrid, and Atlassian hires in any country where it has a legal entity. - The Your Future Org intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to propel students toward a successful Atlassian career. - The internship is based in Seattle, WA or San Francisco, CA, and candidates must be willing to work there; it is not eligible for F1/J1 visas and does not provide work sponsorship. - The 12-week paid program runs May/June through August/September 2027, and interns will be integrated into a development team from day one, reporting to Senior Engineers and contributing code that impacts the products. - Engineering/R&D priorities focus on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (office, remote, hybrid) and hires globally where they have a legal entity. The Intern program provides hands-on technical training, mentorship, professional growth, and social connections to set up for a successful career. The internship role is located in Seattle, WA or San Francisco, CA, and not eligible for F1/J1 visas or sponsorship. The 12-week paid internship runs May/June through August/September 2027; interns will work on real code in a development team and learn full lifecycle product development. Interns will report to Senior Engineers and contribute features to products like Jira, Confluence, Trello, and Bitbucket as part of a unified R&D effort focused on cloud migration and value delivery.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder in the text for a job description: [[INSERT JOB DESCRIPTION HERE]]. The overall message emphasizes flexibility and broad global hiring capabilities.

Atlassians can choose to work in an office, from home, or in a hybrid arrangement. This flexibility allows employees to better support their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder indicating that a job description will be inserted. Overall, the passage highlights flexible work locations and global hiring capabilities.

Atlassian offers flexible work locations—office, home, or a combination. This setup gives employees more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder indicating where a job description will be inserted. Overall, the message emphasizes employee choice and global hiring capability.

Atlassian is hiring a Senior Product Marketing Manager to own the developer platform go-to-market, focusing on Forge and the broader developer GTM, in a hybrid Product Marketing and GTM role that translates technical capabilities into developer value and builds the motions for awareness, activation, and adoption, with TEAM for Builders as the immediate priority. You’ll own developer platform positioning for Forge, partner with Product and Engineering to turn APIs, AI workflows, and extensibility into a compelling story, and develop POVs on AI-enabled development, MCP, agents, and evolving developer workflows. You’ll own TEAM for Builders’ developer marketing strategy, audience, narrative, launch integration, programming, acquisition, and post-event activation, and partner across Product, Developer Advocacy, Events, Brand, Community, and Ecosystem to make the event a year-round driver of engagement, not just a one-off. You’ll lead the overall Developer GTM, connecting launches, events, advocacy, community, content, and growth programs into a cohesive developer journey, and own Launch & Adoption for major launches plus growth programs like Atlas Camp, Codegeist, developer meetups, and Dev Champions. Requirements include 7+ years in product/developer marketing, technical fluency to work with Product and Engineering, strong storytelling, experience with complex launches and integrated GTM motions, strategic and hands-on execution, cross-functional collaboration, and a bias toward developer and business outcomes; in year one you’ll make TEAM for Builders a defining developer moment and a trusted partner to Product/Engineering, while Atlassian offers flexible work locations and global hiring.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options—office, home, or a hybrid—and hires in any country where the company has a legal entity. Search Platform's mission is to power world-class, trusted cross-product knowledge search and discovery across Atlassian’s surfaces, with agentic search pushing the boundaries of AI-driven context search. This role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the department's technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, and serving infrastructure), driving improvements through rigorous experimentation, pursuing moonshots, end-to-end model optimization, and defining ML systems standards, while mentoring senior engineers. You’ll partner across teams (Search Quality, ML Platform, and product) to align roadmaps and translate ambiguous problems into clear technical bets with measurable success criteria.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in countries with a legal entity. - The Search Platform's mission is to power trusted cross-product knowledge search and discovery across Atlassian’s surfaces, with agentic search pushing the boundaries of AI-enabled context search. - The role leads the search and ML architecture that powers search quality, latency, cost, and reliability at scale and sets the department’s technical direction. - Responsibilities include setting technical direction for ML-based search serving (ranking, retrieval, inference pipelines, serving infrastructure), driving improvements in quality, latency, cost, and reliability through experimentation, pursuing ambitious moonshots, leading end-to-end model optimization, and defining ML systems standards. - It also involves mentoring senior engineers, collaborating across teams to align roadmaps, and translating ambiguous problems into clear, measurable technical bets.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, supporting work-life balance and personal goals. The Search Platform's mission is to power trusted cross-product knowledge search and discovery across Atlassian surfaces, with agentic search aiming to redefine AI-context search. The role will lead the search and ML architecture that controls search quality, latency, cost, and reliability at scale, and set the department's technical direction. Responsibilities include setting ML-based search serving direction (ranking models, retrieval, inference pipelines, serving infrastructure), driving improvements via experiments, pursuing moonshots, and leading end-to-end model optimization and hardware-aware inference. It also involves defining ML systems standards, mentoring senior engineers, and aligning roadmaps with other teams to translate ambiguous problems into measurable technical bets with clear success criteria.

At Atlassian, we offer flexible work options—office, remote, or hybrid—and hire people in any country where we have a legal entity. The Search Platform mission is to power trusted cross‑product knowledge search and discovery for people and agents across Atlassian’s surfaces, pushing agentic search and redefining AI‑driven context search. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale, and set the department’s technical direction. Responsibilities include setting the ML-based search strategy (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving improvements through rigorous experimentation, pursuing ambitious moonshots, and leading end-to-end model optimization with standards for evaluation, testing, rollout safety, and observability. It also involves mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear, measurable technical bets.

- Atlassian offers flexible work options—office, home, or a mix—so employees can better balance family and personal priorities. - The company hires people in any country where it has a legal entity. - Search Platform aims to power world-class, trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of context search for AI. - In this role, you’ll lead the ML-based search architecture that governs quality, latency, cost, and reliability at scale and set the department’s technical direction, including ranking models, retrieval architectures, and inference pipelines. - Responsibilities also include driving measurable improvements through experimentation, pursuing ambitious moonshots, end-to-end model optimization, defining ML systems standards, mentoring senior engineers, and partnering with Search Quality, ML Platform, and product teams to align roadmaps and translate ambiguous problems into clear, measurable technical bets.

- Atlassians can choose where to work—office, home, or a hybrid—and Atlassian hires people in any country where it has a legal entity. - The Rovo Experiences & Growth organization builds customer-facing AI experiences across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering them on web, mobile, desktop, and browser extensions to help customers use Rovo daily. - The role leads technical strategy and architecture for these products, ensuring scalability, reliability, security, and cohesion, and drives the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. - It develops reusable experience foundations across Atlassian products and integrates with third-party tools, partners with product, design, data science, ML, and engineering to define a high-impact roadmap, and enables sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement, while leading cross-organizational initiatives. - It raises the bar for quality, performance, trust, and operational excellence, standardizes AI development and deployment toward scalable, composable, repeatable approaches, and mentors senior engineers to promote technical excellence, inclusive collaboration, and continuous learning.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian offers flexible work locations (office, home, or hybrid) to balance business responsibilities with family needs. They’re hiring a Machine Learning Engineer for Growth, a unit that builds intelligent, personalized experiences to guide customers through the lifecycle from awareness to retention. The role involves designing, building, and operating ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, plus developing data foundations, features, evaluation frameworks, and decisioning toward a unified, value-aware orchestration system. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, including offline/online evaluation, monitoring, and ensuring durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS degree preferred, proficiency in Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience scaling models, building datasets/evals, strong communication, agile mindset, ability to solve ambiguities, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; optional experience in SaaS/B2B contexts and understanding engagement/activation/conversion/expansion/retention metrics.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to expansion and retention. The role will turn behavioral and product signals into scalable ML systems that power the growth funnel, enabling more relevant customer and sales experiences across surfaces like navigation, screen-space flags, and the app-switcher. You will join a cross-functional Growth team spanning product, engineering, data science, analytics, and product operations to develop ML capabilities, data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product recommendations and personalized journeys. Responsibilities include designing, building, and operating ML systems for personalized recommendations and activation journeys, defining strategy for ML capabilities, and partnering with product, analytics, marketing, and sales to run experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML, a CS-related degree, strong Python (plus Java/Typescript), SQL, Spark, cloud experience, experience scaling ML in business applications, ability to communicate ML concepts, and familiarity with contextual bandits, uplift modeling, recommender systems, and causal inference; bonus if you have SaaS/B2B or growth-focused experience.

Atlassian lets employees decide where they work—office, home, or a mix. This choice gives them greater control over work-life balance, family, and personal goals. Atlassian can hire people in any country where it has a legal entity. [[INSERT JOB DESCRIPTION HERE]] is a placeholder indicating where a specific job description will be inserted. Overall, the text emphasizes flexible work arrangements and a global hiring scope.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting family needs, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating a job description will be inserted. Overall, the message emphasizes flexible work options and broad international hiring capability.

Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, it emphasizes flexible work arrangements and global hiring options at Atlassian.

- Atlassian offers flexible work options and hires globally where it has a legal entity. - Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage used by product and platform teams, meeting enterprise needs such as data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. - TDP SQL is Atlassian’s managed relational database platform, giving engineering teams a supported way to build applications on relational databases without managing infrastructure, availability, security, scaling, or other enterprise controls themselves. - The Senior Engineering Manager for TDP SQL will lead the team, owning its people, strategy, execution, and operational outcomes, and will partner with senior engineers, product and program leaders, infrastructure, security, and product teams to evolve TDP SQL into a dependable, easy-to-adopt internal platform. - Responsibilities include building an inclusive, high-performing team; defining strategy and roadmaps; surfacing delivery risks and dependencies; improving platform adoption and reliability; managing cost posture; and leading cross-functional collaboration across product, security, reliability, and infrastructure to ensure trusted, compliant, and cost-efficient platform delivery.

Atlassian offers flexible work locations and hires globally, with the Trusted Data Platform (TDP) providing secure, scalable data storage including data residency, encryption, compliance, backup, and multi-cloud operation; TDP SQL is the managed relational database platform. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, partnering with senior engineers, product, infrastructure, security, and product organizations to evolve TDP SQL as a dependable internal platform. Responsibilities include building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments, commitments, and technical debt, and translating enterprise requirements into a clear, measurable roadmap. The role requires owning the platform’s reliability and trust—availability, durability, performance, security, compliance, recoverability, incident response, and disaster recovery—ensuring data residency and regulated environments with clear visibility into customer commitments. It also entails technical and cross-functional leadership across architectural direction for multi-cloud, balancing delivery with platform simplification, establishing contracts with infrastructure and customer teams, representing TDP SQL in reviews, and owning cost posture and investment decisions for customer trust and sustainable cost efficiency.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, while the Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams with requirements like data residency, encryption, compliance, and multi-cloud operation. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, security, or scaling. Atlassian is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. The role emphasizes building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments and technical debt, and delivering a clear, executable roadmap. Additional focus areas include defining the TDP SQL strategy, ensuring reliability and compliance, guiding multi-cloud architectural direction, fostering cross-functional partnerships, and owning the platform’s cost posture to balance customer trust with sustainable cost efficiency.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. Their Trusted Data Platform provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operations. TDP SQL is Atlassian’s managed relational database platform, enabling teams to build applications without managing underlying infrastructure, availability, security, scaling, or enterprise controls. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, security, and compliance; driving platform adoption; guiding architecture and cross-functional collaboration; and managing cost and capacity.

Atlassian supports flexible work arrangements and global hiring, and its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operation; TDP SQL is Atlassian’s managed relational database platform built on TDP. The company is seeking a 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 teams, security specialists, and Atlassian product organizations to evolve TDP SQL as a dependable, easy-to-adopt internal platform. Responsibilities include leading and developing managers and engineers, building an inclusive, high-performing team through hiring, onboarding, talent development, and succession planning, delegating meaningful ownership, establishing operating practices, and managing capacity across strategic investments, customer commitments, operational work, and technical debt. The role requires defining and executing the TDP SQL strategy and roadmap in alignment with Atlassian’s data-platform goals, surfacing delivery risks and dependencies early, increasing platform adoption, and owning the platform’s reliability, security, compliance, and recoverability with service-level objectives and incident response. It also entails cross-functional leadership to establish architectural direction across multi-cloud environments, manage technical and operational contracts with dependent teams, represent TDP SQL in reviews and portfolio planning, and own cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian supports flexible work locations and global hiring, giving employees control over work-life priorities and enabling hiring in any country with a legal entity. Their Trusted Data Platform (TDP) provides secure, scalable data storage, with TDP SQL offering a managed relational database platform for internal use. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to partner with senior engineers and various product, infrastructure, and security teams. The role involves defining the TDP SQL strategy and roadmap, surfacing risks early, increasing platform adoption, and ensuring designs meet scalability, security, data residency, and multi-cloud requirements. Cross-functional leadership also includes managing cost posture, capacity, investments, and ownership of infrastructure efficiency and unit economics while balancing delivery with platform simplification.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country with a legal entity to support employees’ families, goals, and priorities. The Public Sector Enterprise Advocate role requires deeply understanding customers and how they use Atlassian products, nurturing existing relationships, growing new ones, and driving migration to the FedRAMP cloud offering. You will serve as the customer account lead, coordinating all support and cross-functional teams (such as Channel Partners and Solutions Engineers) to guide customers on their Atlassian journey and execute strategic account planning. You’ll act as a critical liaison between executives in product and engineering and customers to influence the roadmap and continuously improve the customer experience. The ideal candidate is customer-obsessed, creative, able to organize resources to meet needs, passionate about the Enterprise Sales process, and would report directly to the Director of Federal Sales.

Atlassian offers flexible work locations—office, home, or a hybrid model—and hires globally where it has a legal entity, enabling employees to balance family and personal goals. Core principles emphasize owning customer outcomes, pursuing strategic engagements with stakeholders, playing the long game, and delivering beautiful, repeatable work to advance DX. The Principal Value Advisor for DX is a highly influential individual contributor who defines DX’s value proposition, drives innovation, and sets the standard for customer-centric craft across the organization. Key responsibilities include building senior-level customer relationships, developing business cases and value metrics, synthesizing data into innovative solutions, delivering executive storytelling, driving DX innovations and practice initiatives, collaborating across functions, and traveling 15–20% for customer engagements. Must-have qualifications include 7+ years in value or strategy consulting or related fields with cloud and digital transformation experience, mastery of financial modeling and value articulation, and strong executive communication; nice-to-have items include familiarity with Atlassian solutions, relevant tooling, regional language coverage, and experience in industries like financial services, software/tech, and government.

Atlassian supports flexible work locations, allows interviews and onboarding to be conducted virtually, and hires globally to accommodate employees’ family and personal goals. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data-driven insights to boost profitability, market share, and customer delight, while continuously optimizing the sales process. Atlassian is seeking a Principal Strategist for Public Sector GTM who will use qualitative and quantitative methods to evaluate opportunities and design initiatives that drive P&L growth for Public Sector customers. The role is a highly capable individual contributor who will partner with Public Sector sales and product executives, along with stakeholders across the organization, to define the long-term direction and leverage SaaS principles to design scalable options that meet fiscal year goals and longer-term targets. Responsibilities include analyzing complex information, identifying opportunities, testing new ideas, transitioning from high-level strategy to detailed analyses, and leading cross-functional stakeholder management to secure resources and influence executives.

- Atlassians can choose where they work, whether in an office, from home, or a combination of the two. - This flexibility gives them more control over supporting their family, personal goals, and other priorities. - Atlassian can hire people in any country where it has a legal entity. - The policy emphasizes employee autonomy and work-life balance. - The text ends with the token "NTD," which may be a note or placeholder.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian is building the future of work with a focus on how people, teams, and AI can work better together, and Strategy Collection aims to connect strategy to execution at enterprise scale. The company is hiring a Principal Product Manager to lead core jobs to be done in the Focus app within Strategy Collection, shaping how leaders define priorities, connect work to outcomes, and make high-quality decisions. Responsibilities include defining the Focus product vision and roadmap, leading AI-native product development across discovery to launch, prioritizing AI opportunities, and driving cross-functional initiatives to align strategy, goals, and execution. The role requires applying AI fluency to establish quality bars, governance, transparency and control, leveraging data and feedback to size opportunities and communicate investment decisions, and creating executive-ready narratives while escalating risks. Qualifications include 8+ years in enterprise SaaS product management, strong AI experience (LLMs, prompts, evals, responsible AI), the ability to lead ambiguous cross-functional initiatives with executive visibility, and familiarity with Atlassian products, strategy/OKRs, and analytics.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. They’re seeking a Lead Product Designer to join the Rovo & AI team, responsible for Rovo and AI experiences and working across Atlassian apps’ AI features with teams across Atlassian; the team is primarily based in Australia and the West Coast of North America. Responsibilities include leading strategic vision and design outcomes for the AI landscape, applying systems thinking, strong visual/interaction design, driving design reviews, and coaching other designers to ensure cohesive AI experiences, and partnering with leadership to unify AI capabilities. You will lead design projects end-to-end, tie design work to customer value delivery and outcomes, identify success metrics, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to ship high-quality work. Qualifications require 10+ years of product design experience, enterprise software design, end-to-end UX, experience with org-wide design programs, storytelling, balancing customer needs with business and technical feasibility, facilitation and cross-functional collaboration, design systems, measuring success, and improving processes and adoption of new capabilities.

Atlassian offers flexible work locations—office, home, or hybrid—and hires people in any country where they have a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to work on AI experiences across Atlassian apps (Jira, Confluence, Bitbucket, etc.) with collaboration across teams, primarily based in Australia and the West Coast of North America. Responsibilities include leading the strategic vision and conceptual design for customer experiences across the AI landscape, applying systems thinking, driving cohesive design, and leading design reviews while coaching other designers. The role entails partnering with leadership and cross-functional teams to create a unified view of AI capabilities, leading projects from creation to execution, tying outcomes to customer value, and identifying success metrics and opportunities to accelerate AI and search experiences. Qualifications require 10+ years in enterprise software product design, experience delivering end-to-end UX and strategic programs across multiple delivery teams, storytelling, balancing user needs with business and technical feasibility, collaboration and facilitation, design systems expertise, and experience measuring success and driving process improvements.

Atlassian is investing in Generative AI and seeking a Principal Machine Learning Systems Engineer (P60) in the US to lead GenAI Products & Knowledge Innovations, bridging advanced algorithms with scalable infrastructure. The role will design and build scalable ML systems for training, fine-tuning, and serving large language models and embeddings, including retrieval, hybrid search, and RAG pipelines tied to knowledge-grounded data. It emphasizes rapid prototyping and applied research, building POC systems and turning them into reliable, production-ready services while optimizing latency, throughput, and resource efficiency for GenAI workloads. The position requires collaboration across ML engineers, backend developers, and product teams to ship end-to-end innovations and contribute to deployment, monitoring, and evaluation best practices, establishing the team as a hub for GenAI systems innovation. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity.

Atlassian is on a mission to unleash the potential of every team and is investing in Generative AI, seeking a Principal Machine Learning Systems Engineer (P60) to lead GenAI Products & Knowledge Innovations in the US. The role centers on building and scaling systems that power advanced GenAI products with enterprise knowledge, enabling rapid prototyping and applied research by bridging cutting-edge algorithms with reliable, high-performance infrastructure. You’ll design and implement scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and develop efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data, plus tools to support rapid experimentation and deployment. You’ll enable rapid prototyping and applied research by partnering with scientists to create proof-of-concept systems and evolve them into reliable, scalable services while optimizing latency, throughput, and resource efficiency for GenAI workloads. You’ll collaborate across ML engineers, backend developers, and product teams to ship end-to-end innovations, contribute to deployment, monitoring, and evaluation best practices, and help establish Atlassian as a world-class GenAI systems hub, with flexible work options and hiring in any country where the company has a legal entity.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead GenAI Products & Knowledge Innovations in the US. The role focuses on designing and scaling systems that power advanced GenAI products with enterprise knowledge, rapid prototyping, and applied research, bridging cutting-edge algorithms with reliable, high-performance infrastructure. You’ll design and build scalable ML systems for training, fine-tuning, and serving large language models and embeddings, including retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. You’ll enable rapid prototyping and applied research by partnering with scientists to develop POC systems and evolve them into robust, production-ready services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

Atlassian allows employees to choose where they work—office, home, or a combination. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The policy underscores a commitment to autonomy and flexible work arrangements. Overall, it highlights the company's global reach and focus on work-life balance.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where it has a legal entity. They are seeking a Principal Fullstack Software Engineer to join and drive creative improvements for engineering teams. The role involves understanding the user journey, collaborating with product, design, and engineering to influence product strategy, and guiding the technical direction for large-scale features. You will evaluate trade-offs for correctness, robustness, performance, and customer impact, debug inefficiencies, and ship well-tested, secure, reliable, and maintainable code. You’ll contribute to code reviews, documentation, and complex bug fixes with emphasis on security and performance, mentor teammates, grow the growth engineering team, and identify blockers to uphold design principles, testing, performance, and privacy practices.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in countries with a legal entity. The role is fully remote but requires you to be located in US Pacific or Mountain time zones. They are seeking a Principal Backend Software Engineer to join and drive creative improvements for engineering teams. Responsibilities include unblocking challenges across the software development cycle, designing solutions, planning large projects, solving complex architecture issues, leading code reviews and documentation, and tackling high-risk bug fixes. The role also involves setting standards for meaningful code reviews, partnering across teams on company-wide projects, transferring knowledge across languages, and mentoring junior engineers.

- Atlassian offers flexible work options—office, home, or hybrid—and hires globally where they have a legal entity. - They’re looking for a Partner Development Manager to join the Partner and Business Development teams and drive the Apps Marketplace partner strategy. - Responsibilities include creating strategic partner development plans and detailed account plans, coordinating with partner leaders and internal teams, and translating providers’ technical requirements into product direction. - Additional duties involve defining joint GTM and technical programs, managing revenue goals and enterprise pipelines, ensuring partner success, and preparing business reviews with support from legal. - Ideal candidates have 4+ years in tech software sales or business development, strong ISV/Marketplace partnerships and SaaS experience, cross-functional program management, data analysis skills, and familiarity with Atlassian tools and security/compliance standards.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

Atlassian offers flexible work options—office, remote, or a hybrid approach—and hires people in any country where they have a legal entity. The role leads and manages a regional team of enterprise Account Executives to hit sales targets and revenue goals, while developing and executing strategic plans to expand market share in the enterprise segment. It includes mentoring and coaching the sales team, setting performance goals, recruiting and onboarding new members, and collaborating with internal teams to streamline sales processes and improve customer satisfaction, alongside analyzing data and providing feedback. The position involves managing key client relationships, participating in high-level negotiations, providing regular sales performance updates to senior management, and staying informed on industry trends and market dynamics. Qualifications include 10+ years in sales, 5+ years of management experience (second-line Sales Leader preferred), a proven track record of meeting targets, CRM/Pipeline/Analytics proficiency, French fluency preferred, and a commitment to coaching, value-driven, consultative selling in a fast-paced international environment.

Atlassian supports flexible work locations and hires in any country with a legal entity, enabling employees to balance work with family and personal goals. The role is to lead and manage a region's enterprise Account Executives to meet sales targets and revenue goals through strategic plans to expand market share in the enterprise segment. Responsibilities include mentoring the sales team, setting performance goals, recruiting and onboarding, collaborating with internal teams to streamline processes, and analyzing data to identify growth opportunities. It also involves managing key client relationships, participating in high-level negotiations, and providing regular sales performance updates to senior management while staying informed about industry trends and competitors. Requirements include 10+ years in sales with 5+ years in management (preferably as a second-line sales leader), CRM/analytical tool proficiency, potential French fluency, and a drive to coach, enable, and mentor selling professionals in a fast-paced, international environment, challenging traditional sales models.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity. The role leads a team of enterprise Account Executives to achieve sales targets and revenue goals, develops strategic plans to expand market share, and provides mentorship and guidance to the team. It involves setting performance goals, recruiting and onboarding new sales staff, collaborating with internal teams, and analyzing sales data to identify growth opportunities, plus conducting regular performance evaluations. Responsibilities also include managing key client relationships, engaging in high-level negotiations, and reporting sales performance to senior management while staying informed about industry trends and competitors. Qualifications require 10+ years in sales with 5+ years in management (preferably second-line leadership), proficiency with CRM and analytics tools, French preferred, and a passion for coaching, value-driven consultative selling, challenging traditional sales models, and thriving in a fast-paced international environment.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The Lead Paid Search Strategist is a senior individual contributor who will own the global paid search program across Atlassian’s product portfolio (Jira, Confluence, Trello, Loom, and more), defining brand and nonbrand strategies and advancing bidding, attribution, and measurement systems. Responsibilities include governing global paid search strategies, driving in-house automation and value-based bidding, directing agencies on tactical execution and QA, partnering with Data Science on experiments and enterprise models (MMM, MTA, LTV), leading forecasting and budget reallocations, evolving AI-driven formats and SERP strategies, and collaborating with Ad Ops on data resilience, privacy, and end-to-end message alignment. Requirements include 8+ years of paid search experience in high-growth B2B SaaS or enterprise tech, proven multi-million-dollar budget management, ability to specify technical requirements for conversion APIs, offline conversions, and attribution models, expertise in causal experimentation and attribution, and experience leading agencies and communicating with senior leadership; preferred skills include SQL, BigQuery, Google Ads Scripts, and enterprise BI dashboards, plus international search expansion. It is a senior individual contributor role with no direct reports, requiring close collaboration with Product Marketing, Web, Data Science, Ad Ops, and product teams to align search strategy with roadmaps and privacy standards.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role centers on executive support, including complex cross-time-zone calendar management, meeting prep with agendas and briefing materials, and capturing notes and action items for follow-up. It also involves leading virtual and in-person events—from planning and logistics to vendor/venue management and contract negotiations—serving as the main point of contact for event communications. Additional duties cover cross-functional collaboration, driving the rhythm of business with leadership meetings and planning sessions, and handling budgeting, purchase orders, expenses, and travel for the leader. Candidates should have 7+ years of executive assistant experience in high-growth tech, be team-oriented, data-driven, adept at navigating change, and proficient with tools including the Atlassian suite, Google Workspace, Slack, Zoom, and Workday, along with opportunities for internal mobility and growth at Atlassian.

Atlassian offers flexible work locations and hires globally where it has a legal entity, with an AI-powered product suite (Jira, Confluence, Loom, Rovo) as the backbone of how teams work. The role aims to bring Atlassian’s AI and platform transformation story to Strategic & Enterprise accounts and generate sales pipeline for the East/Canada region. You will own the account-based marketing strategy, execute 1:1 omni-channel campaigns, plan events, and partner with sales to create and accelerate opportunities, using AI tools to inform strategy and optimize performance. Requirements include 7+ years of B2B marketing with 3+ years ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and experience with marketing automation/CRM. The team, Regional & Partner Marketing, is a global group of business owners building a regional marketing function that shapes Atlassian’s next chapter market by market.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever they have a legal entity, helping employees balance family, personal goals, and priorities. The company is at an inflection point, moving from a strong product-led growth model to an enterprise go-to-market, with AI accelerating products becoming an AI-powered platform. The role of Account-Based Marketing Manager for Strategic & Enterprise in East/Canada is to turn that transformation into sales pipeline by leading 1:1 omni-channel ABM and translating global AI/platform narratives into locally resonant proof points and campaigns. Responsibilities include leveraging AI tools, collaborating with sales, planning events, coordinating with central teams, and partnering with channel partners to amplify reach, all aimed at generating new pipeline opportunities and accelerating deals. Requirements cover 7+ years of B2B marketing (including 3+ years ABM), proven pipeline generation, strong AI fluency and strategic, cross-functional leadership, data-driven decision-making, and experience with marketing automation/CRM; nice-to-haves include experience marketing to C-suite, familiarity with PLG and enterprise go-to-market motions, knowledge of Atlassian products, and experience in a high-growth SaaS environment navigating product shifts.

Atlassian offers flexible work options and hires in any country with a legal entity, and the company is at an inflection point, evolving from a product-led growth base to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The role of Account-Based Marketing Manager for East/Canada exists to bring that AI and platform transformation story to life for Strategic & Enterprise accounts and turn it into sales pipeline. You’ll build and manage 1:1 omni-channel ABM campaigns in close partnership with sales, translate global narratives into locally resonant proofs and customer stories, leverage AI tools to personalize at scale, and plan events and partner activations to accelerate opportunities. Requirements include 7+ years of B2B marketing with 3+ years in ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, and data-driven decision-making, along with experience in marketing automation/CRM. The role sits within Regional & Partner Marketing, a global team of business owners shaping Atlassian’s next chapter market-by-market and accountable for pipeline rather than just programs.

Atlassian offers flexible work locations and hires in any country with a legal entity, and is at an inflection point moving from product-led growth to an enterprise go-to-market powered by AI across Jira, Confluence, Loom, and Rovo. The Account-Based Marketing Manager for East/Canada will generate and accelerate pipeline for Strategic & Enterprise accounts, translating global AI and platform narratives into locally resonant proof points, customer stories, and campaign themes. You’ll leverage AI tools to inform strategy, personalize at scale, build 1:1 omni-channel ABM campaigns, plan in-person and virtual events, and influence priorities across central teams to close regional pipeline gaps. Requirements include 7+ years of B2B marketing with 3+ years of ABM in high-growth environments, a proven track record of 1:1 and 1:Few ABM motions across multiple channels, strong AI fluency, strategic thinking, cross-functional influence, self-starting initiative, and data-driven decision making, plus experience with marketing automation/CRM (Salesforce & Marketo a plus) and familiarity with PLG and enterprise go-to-market motions. The role sits in regional and partner marketing, a global team of business owners building a regional function to shape Atlassian’s next chapter market-by-market, customer-by-customer.

Atlassian allows employees to work from the office, home, or a mix and can hire anywhere there is a legal entity. The company is at an inflection point, moving from product-led growth to an enterprise go-to-market, with AI powering its platform (Jira, Confluence, Loom, Rovo) for the world’s top teams. The Account-Based Marketing Manager role for East/Canada Strategic & Enterprise accounts aims to generate pipeline by translating global AI and platform narratives into locally resonant proof points and campaigns through 1:1 omni-channel ABM with sales. Key duties include leveraging AI tools, partnering with sales leadership, planning events, coordinating cross-functional teams, and driving co-marketing with partners to accelerate opportunities in AMER. Requirements include 7+ years of B2B marketing with 3+ years of ABM, a track record of pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation/CRM; the Regional & Partner Marketing team is a global group of strategic market owners shaping marketing by market.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, letting employees prioritize family and personal goals. Atlassian’s agile/DevOps, ITSM, and work management software—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work and are trusted by Fortune 500 companies and many others, including NASA and Deutsche Bank. The Mid-Market sales team manages a portfolio of mid-sized customers, pursuing cloud-first opportunities, cross-sell/expansion, nurturing relationships, and achieving revenue targets while advocating for customers and feeding feedback to product and engineering. In this role you will own roughly 40 accounts in the Mid Market segment (200-10,000 seats) with a $2–4M annual quota, lead a cross-functional deal team, and serve as the main contact to build executive relationships and define territory and account plans. You will identify and close complex, multithreaded opportunities using outcome-based selling, collaborate with channel/marketing/product/success teams, negotiate contracts, maintain a healthy pipeline with accurate forecasting, stay informed on industry trends, and travel occasionally for meetings and events.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, enabling employees to balance family, personal goals, and other priorities. Their software—Jira Software, Confluence, and Jira Service Management—helps teams organize, discuss, and complete work and is trusted by Fortune 500s and many others including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team handles a portfolio of mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, nurturing relationships, and meeting revenue targets while advocating for customers by feeding feedback to product and engineering teams. They collaborate closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, follow a TEAM approach to deployment at scale, and uphold Atlassian values in their evolving sales model. In this role you own about 40 accounts (200–10,000 seats) with a $2–4M annual quota, lead cross-functional deal teams, build executive relationships, apply MEDDPICC to win complex opportunities, maintain a healthy pipeline with forecasting, negotiate contracts, stay current on industry trends, and travel occasionally for meetings and events.

- Atlassian offers flexible work options, allowing you to work from home or any global office, and it hires in any country where it has a legal entity. - The Grad++ program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. - This role is located in Seattle, WA, and is not eligible for F1/J1 visas or any work sponsorship. - You will build production-ready features by developing scalable code for Jira, Confluence, and Trello used by millions, contributing to reliable systems powering global collaboration. - You’ll own end-to-end projects from design through deployment, collaborate in Agile teams, and innovate with AI/ML technologies to solve complex distributed systems and data processing problems using data-driven insights.

Atlassian offers flexible work locations and hires globally for a globally distributed Advisory Services team that helps strategic and enterprise customers maximize their Atlassian investments. They are hiring a Solution Consultant for the Public Sector Advisory Services team as an individual contributor, delivering expert guidance on Atlassian products to drive value for clients who purchase Advisory Services. Responsibilities include collaborating on strategic outcomes, partnering with customers to solve business challenges using Atlassian solutions, identifying expansion opportunities, creating prescriptive guidance, and advocating for customer needs across teams, with up to 30% travel. The ideal background includes 4-6 years in or with SaaS, 2+ years in customer-facing roles, and demonstrated expertise with the Atlassian Data Center Platform and related tools, cloud architectures, integrations, and security, plus experience with Teamwork Foundations and collaboration tools and the ability to define measurable goals and reporting. English fluency is required, a second language is a plus, and preferred qualifications include aligning with US time zones, coaching practices, cross-team project experience (Sales/Product/Support), and experience with large customers in a consulting or technical expert role.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity. The Onboarding Team acts as a trusted advisor to the largest strategic customers, helping them maximize value in the first 60-90 days. Atlassian is seeking a Senior Manager to lead the global Onboarding Success Managers for the Teamwork Collection, focusing on strong adoption during the first 90 days in collaboration with solution sales, product, and core CSMs. The Onboarding CSM Manager will lead a team to drive early customer outcomes through targeted engagements, change management, success planning, and technical guidance, while scaling onboarding programs and processes. Key responsibilities include owning strategic customer relationships, guiding journeys with predictive signals and frameworks, delivering value at scale (including low-touch outreach and Success-AI), maintaining product/industry expertise, mitigating churn, championing customer advocacy, and upholding operational excellence in tools like Gainsight.

Atlassian offers flexible work locations—office, home, or a hybrid approach—and hires in any country where they have a legal entity. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focused on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical problems, stay hands-on while setting direction across teams, and architect and build production ML and evaluation systems at scale, advancing Rovo’s agentic capabilities. You’ll close the loop between evaluation and product impact—identifying systemic failure modes, shipping interventions, and assessing whether they improve customer outcomes—while making high-leverage decisions about models, prompting, data strategy, architecture, latency, safety, and cost, and leading cross-organizational initiatives to standardize quality. The ideal candidate has a track record shipping large-scale ML/AI systems, experience with LLM-powered products and agentic systems, strong production engineering and technical leadership skills, and the ability to communicate clearly and mentor others.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees more control over personal priorities. The company continues to invest in its largest customers, partnering with 82% of the Fortune 500 and teams at IBM, Tesla, Dish, Lufthansa, and others, with Account Management focused on deepening relationships and delivering value across solutions. The role will accelerate revenue growth by leveraging existing customer footprints, driving top-tier retention, and leading expansions through upsell, cross-sell, and renewals while building senior and executive relationships. Collaboration with the Global Sales Team and strategic account planning is essential for driving total book of business growth, and the position covers the LATAM region requiring full fluency in Spanish. Additional responsibilities include staying current on product updates, communicating improvements to customers and partners, and ensuring accurate forecasting and project documentation.

- Atlassian is seeking a Commercial Counsel to join the Commercial Legal team, focusing on Enterprise Sales in the Central/West AMER region and negotiating SaaS agreements with major enterprise customers in the Central/West US, LATAM, and Canada. - The role is remote (with an option to work from an Atlassian office) and involves liaising directly with Sales clients and customers to support strategic projects and transactions. - You’ll be part of a six-attorney team supporting Central/West US Sales as well as expanding Canada and LATAM Sales, handling contracts from drafting to execution, including redlining, exhibit coordination, approvals, record management, and post-execution compliance. - You will provide pragmatic, business-minded guidance on customer requests, obtain internal approvals for modifications, and draft terms in collaboration with Product, Engineering, and Compliance for highly-regulated customers. - The ideal candidate is ownership-driven and collaborative, able to translate SaaS contracting complexities, manage risk while closing deals, navigate a decentralized global organization, and bring strong knowledge of software/cloud services and AI-related issues with creative, risk-based recommendations.

Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity. The role is fully remote but must be located in US Pacific or Mountain time zones. They seek a Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include building REST APIs powering core customer experiences and creating customer-facing React components. Additional duties cover configuring monitoring for backend services, building CI/CD pipelines, developing integrations with the content management system, and delivering reliable features and services.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity, enabling employees to support family and personal goals. The role is an Expert Product Selling position for Jira Service Management, acting as a knowledge leader on ITSM and ESM trends to inform sales strategies and how JSM fits within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full sales cycle from prospecting through solution design, business case, negotiations, and close. Responsibilities include sales strategy development with cross-functional teams, customer engagement with value selling and ROI tied to measurable outcomes, and leading competitive campaigns and cloud migrations (including Data Center to Cloud). You will collaborate with Solution Engineers, Customer Success, Marketing, and the Partner Ecosystem, manage forecasting and pipeline using MEDDPICC, and serve as the voice of the customer to influence JSM roadmap and go-to-market strategy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. In this role you will be an expert product seller in ITSM/ESM, acting as a knowledge leader to inform sales strategies and Jira Service Management’s positioning within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full sales cycle from prospecting through discovery, solution design, business case, negotiations, and close, while collaborating with AEs, AMs, and SDRs to drive net new revenue and expansion in Enterprise accounts. You will engage with customers to understand business drivers and transformation priorities, build value hypotheses and ROI cases tied to JSM outcomes, run competitive campaigns against incumbents, and lead cloud migrations, partnering with SEs, CS, Marketing, and Partners to ensure adoption and co-selling. You will forecast and manage pipelines using MEDDPICC (or similar value-based methodology) and serve as the voice of the customer to inform product gaps, competitive dynamics, and market trends for Atlassian’s JSM roadmap and GTM strategy.

At Atlassian, you can choose where to work (office, home, or hybrid) and the company hires globally wherever it has a legal entity. The role is an Expert Product Selling position for Jira Service Management, serving as a knowledge leader in ITSM and ESM trends to shape sales strategies and positioning. You will own end-to-end JSM sales motions in your territory—from prospecting and discovery to solution design, business case, negotiations, and close—while collaborating to develop territory and account strategies that drive new revenue and expansion. You will engage customers to understand their drivers and pain points, build value hypotheses and ROI cases that tie JSM to measurable outcomes, and lead competitive and cloud-migration campaigns against incumbents. Finally, you’ll work cross-functionally, forecast and manage the pipeline (using MEDDPICC or similar), and act as the voice of the customer to influence Atlassian’s JSM roadmap and go-to-market strategy.

Atlassians can work anywhere—office, home, or hybrid—giving them control to support family and personal priorities, and the company hires globally where it has a legal entity. In this role, you will serve as an Expert Product Seller in the ITSM/ESM space, shaping sales strategies and Jira Service Management’s positioning within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full cycle from prospecting to discovery, solution design, business case, negotiations, and close, while collaborating on territory/account strategies to drive net new revenue and expansion in Enterprise accounts. You will engage customers with value selling, building ROI cases linked to outcomes such as MTTR, change failure rate, agent productivity, and cost per ticket, and lead competitive campaigns plus cloud migrations from Data Center to Cloud. You will work cross-functionally with Solution Engineers, Customer Success, Marketing, and Partner Ecosystem; forecast and manage pipeline using MEDDPICC or a similar methodology; and provide a voice of the customer to shape JSM roadmap and go-to-market strategy.

Atlassian offers flexibility in where you work—office, home, or a mix—and supports family, personal goals, and other priorities, with global hiring in any country where we have a legal entity and virtual interviews and onboarding as part of our distributed-first approach. 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 help shape the future of AI-powered teamwork. This is a high-visibility, high-impact role in fast-moving, ambiguous environments, collaborating with product, engineering, and design to grow technical and domain expertise and drive tangible business outcomes for top organizations. You will code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, architect and implement robust integrations in Python or JavaScript, and influence product direction by solving customers' last-mile papercuts while promoting AI-augmented workflow automation. You’ll oversee end-to-end deployment, manage AI risk assessment and data privacy/regulatory compliance, mentor senior engineers, and communicate complex technical concepts clearly to stakeholders, ensuring alignment of technical solutions with business objectives and measurable progress.

Atlassian enables Atlassians to work anywhere with a distributed-first approach, globally hiring and conducting virtual interviews and onboarding. The Agentic AI Integrations team is responsible for the Rovo MCP Server, agent-to-agent integrations, and leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance AI integrations across the Atlassian ecosystem. The role focuses on bleeding-edge AI technology, moving from prototypes to scalable enterprise AI products used by thousands of developers and enterprise users. Responsibilities include ML performance and systems engineering—tuning latency and reliability, dynamic tool discovery, observability, automated evaluations, semantic retrieval, and building MCP servers, tools, and agent-facing APIs, plus frontend experiences in React/TypeScript and reusable design-system components with robust API integrations (GraphQL/REST, streaming, real-time data). It also encompasses defining AI/ML quality programs, CI/CD-driven evaluations, and implementing enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.

Atlassian offers flexible, distributed work options with virtual interviews and onboarding, hiring globally for roles across the company. The role centers on the Agentic AI Integrations team, building AI integrations like the Rovo MCP Server and agent-to-agent workflows, leveraging tools such as Claude Skills and ChatGPT/Claude Apps within the Atlassian ecosystem. It targets bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users. Responsibilities include ML performance and systems work (tuning MCP servers for latency, reliability, and semantic retrieval), designing MCP servers, tools, and agent-facing APIs, and delivering accessible, performant frontend experiences with React and TypeScript, plus API integrations and token/context optimization. The role also emphasizes AI/ML quality programs, automated CI/CD evaluations, observability and production diagnostics, and strong security practices (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses) to ensure maintainable, well-tested AI integrations.

Atlassian offers flexible, distributed-first work arrangements—employees can work in an office, from home, or in a hybrid setup, with hires in any country where the company has a legal entity and virtual interviews/onboarding. The role is to be the backbone of Atlassian’s Agentic AI Integrations, working on the Rovo MCP Server and agent-to-agent integrations while leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps across the Atlassian ecosystem. The team seeks people eager to explore bleeding-edge AI technologies and to move quickly from prototyping to building scalable enterprise AI products used by thousands of developers and enterprises. Responsibilities include ML performance, latency and token efficiency tuning for MCP and agent-facing servers, dynamic tool discovery, context optimization, observability, automated evaluations, and semantic retrieval, plus designing and evolving MCP servers, tools, and agent APIs, building accessible React/TypeScript frontends, and integrating GraphQL/REST APIs, SDKs, streaming, and real-time data. The role also emphasizes AI/ML quality programs, CI/CD–integrated automated evaluations, safety and bias testing, enterprise security (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses), and confirmation flows for high-impact actions to ensure maintainable, well-tested AI integrations.

Atlassian supports flexible, distributed work and hires globally with virtual interviews and onboarding; the Senior Application Engineering Manager will work on Oracle Fusion Cloud and other Finance SaaS to modernize Finance Operations through transformations, automation, AI/ML. You will lead a cross-functional team of application development and software engineers, drive run-the-business operations and multi-project initiatives, and collaborate with internal customers to set expectations and communicate results, ensuring all projects meet OKRs. Responsibilities include maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), leading integrations with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass), and fostering an automation mindset using RPA and low-code/no-code tools. The role is metrics-driven, emphasizes SOX compliance with Internal Audit, and has high visibility across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, involving tackling complex architectural challenges and leading code reviews and critical bug fixes. Required qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and related SaaS, experience with transformations, automation tools (RPA, Workato, Camunda), exposure to Salesforce and Databricks, familiarity with AI/ML, and strong communication skills with a passion to make a difference.

Atlassian offers flexible, distributed work options and hires globally in countries where it has a legal entity, with virtual interviews and onboarding. In the Senior Application Engineering Manager role on the Corporate Engineering - Finance Technology team, you will work on Oracle Fusion Cloud and other Finance SaaS apps to modernize Finance Operations through transformations, automation, AI/ML, and will lead a group of application development engineers and software engineers. You will lead run-the-business operations and multi-project initiatives, guide the team to maximize Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), and ensure projects align with OKRs while collaborating with internal customers and other engineering teams. The role emphasizes an automation mindset (RPA and low-code/no-code tools), integration within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), a metrics-driven approach, and SOX compliance with Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in core finance, expertise in Oracle Fusion Cloud and other SaaS systems, experience with automation tools (RPA, Workato, Camunda), exposure to systems like SalesForce and Databricks, familiarity with AI/ML, 24x7 reliability, and strong interpersonal and communication skills.

Atlassian supports flexible working—office, remote, or hybrid—with virtual interviews and onboarding, and hires in any country where they have a legal entity. As a Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team, you'll work on Oracle Fusion Cloud and other Finance SaaS apps to modernize Finance Operations through transformations, automations, AI/ML, and other priorities. You will lead a cross-level team of application development engineers and software engineers, drive run-the-business operations and projects from technical design to launch, and collaborate with internal customers to set expectations and communicate results. Key responsibilities include maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), embracing an automation mindset with RPA and low-code/no-code tools, integrating Fusion Cloud with a best-of-breed SaaS footprint (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), ensuring projects meet OKRs, and working with Internal Audit for SOX compliance; it’s a high-visibility role involving architectural challenges and leading code reviews and complex bug fixes. Qualifications include 9+ years as a hands-on senior engineering manager in Core Finance with Oracle Fusion Cloud and other SaaS systems, experience leading transformations, automation tools (RPA, Workato, Camunda), exposure to Salesforce and Databricks, familiarity with AI/ML, and strong communication with a passion to make an impact.

Atlassian supports flexible work locations (office, home, or hybrid) and global hiring to help employees balance family, personal goals, and priorities. The Principal, Customer Success Portfolio Design & Transformation will design and build the enterprise customer success portfolio, creating frameworks for engagement across success planning, value realization, onboarding, and product adoption, and design a go-to-market approach aligned with customer milestones and business goals. The role requires cross-functional collaboration with Customer Success, Product, Sales, Strategy, and Revenue Operations to operationalize best practices, create playbooks, enable teams, and publish the CSM portfolio and strategy, driving a shift to solution selling and optimized CSM workflows using data-backed strategies. It involves incorporating CMS activities into LOS design for digital and self-service, driving the GTM motion for CSMs with plays and engagement models by segment, tier, and customer need, and identifying adoption levers to boost product adoption, maturity, and retention through data-driven programs. It also includes partnering with Product and Solution Factory to create a scalable launch framework, designing an enterprise CSM journey around moments that matter with a value framework for ROI, and building a scalable enablement program with assets and partnerships with Customer Education and self-service teams.

Atlassian offers flexible work arrangements—office, home, or a hybrid—and hires globally in any country where the company has a legal entity. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working directly 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 to solve complex, real-world problems and achieve tangible business outcomes. You’ll lead the design, development, and deployment of AI/ML solutions, architect and implement integrations with Python/JavaScript for APIs and microservices, drive data-driven insight generation, promote AI-augmented workflow automation, oversee production deployment with monitoring, and navigate risk, privacy, and regulatory requirements. You’ll also mentor junior engineers, communicate complex technical concepts to diverse stakeholders, and align technical solutions with business objectives to set a clear vision and measurable results.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ personal goals. The role is Principal Engineer with a Deep Engineer archetype in the Kubernetes Platform, owning technically complex, high-impact outcomes from problem definition through production, with deep expertise in agent infrastructure and distributed systems. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. The role requires owning end-to-end outcomes for cross-team initiatives, advancing portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, and championing operational excellence for a tier-0 platform. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—along with improving developer experience, setting direction through proposals, mentoring engineers, and growing an inclusive, high-performing team.

Atlassian supports flexible work setups (office, home, or hybrid) and hires in any country where there is a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, applying 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 influencing teams across geographies through coaching and design leadership. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader Atlassian leverage—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; and mentoring engineers to grow an inclusive, high-performing team.

At Atlassian, you can work flexibly and Atlassians can be hired in any country where the company has a legal entity. As a senior ML Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo, including scalable search infrastructure, retrieval pipelines, vector indexing, and embedding-based semantic search, with end-to-end delivery across regions and tenants and strict SLOs for availability, latency, and relevance. You will build and maintain production ML models (neural rankers, embedding models, and reranking systems), integrate them into serving infrastructure using frameworks like Triton and PyTorch, and collaborate with ML researchers to productionize models with robust monitoring and evaluation harnesses. You will design retrieval systems for agentic and RAG use cases (personalized indexes, grounding pipelines, and multi-step retrieval workflows) and partner with Rovo and AI platform teams to evolve search as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale. You will drive observability, incident response, FinOps cost discipline, and capacity planning, mentor junior engineers, and collaborate with engineering leads, product managers, and platform stakeholders to define roadmaps and deliver against team OKRs.

At Atlassian, employees can work from an office, home, or a mix, and the company hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform will own the design, development, and production deployment of ML systems that power search experiences across Jira, Confluence, and Rovo. Responsibilities include designing scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based search), delivering ML components from experimentation through production across regions and tenants, and ensuring high-throughput, low-latency performance with strict SLOs. In ML model development and serving, the role covers building production models (neural rankers, embeddings, reranking), integrating them into serving infrastructure with frameworks like Triton and PyTorch, and collaborating with researchers to create robust monitoring and evaluation. The role also focuses on agentic and Retrieval-Augmented Generation (RAG) retrieval, partnering with Rovo and AI platform teams, driving operational excellence and FinOps, and collaborating cross-functionally with engineering leads, PMs, and mentors.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. As a senior ML Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo, including scalable infrastructure, retrieval pipelines, vector indexing, and embedding-based semantic search, with end-to-end delivery across multiple regions and tenants to meet strict SLOs. You will build and serve production ML models (neural rankers, embedding models, reranking) and integrate them into serving frameworks like Triton and PyTorch, collaborating with researchers to translate experiments into robust, monitored production systems. The role covers agentic search and Retrieval-Augmented Generation use cases, including personalized indexes, grounding pipelines, and multi-step retrieval, partnering with Rovo and AI platform teams to scale and keep retrieval fresh and relevant. You’ll drive operational excellence and cost discipline through observability, incident response, FinOps-driven optimization, on-call readiness, capacity planning, and cross-functional collaboration to align roadmaps, mentoring, reviews, and engineering best practices.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform team will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. Responsibilities include designing scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across multiple regions and tenants with strict SLOs for availability, latency, and relevance. The role also covers ML model development and serving (neural rankers, embeddings, reranking), integration with serving infrastructure (Triton, PyTorch), collaboration with researchers to productionize models, and building agentic/RAG-focused retrieval systems in partnership with Rovo and AI platform teams. Additional emphasis is on operational excellence and cost discipline (observability, FinOps, on-call readiness, capacity planning) and cross-functional collaboration, mentoring junior engineers, and contributing to roadmaps and team OKRs.

- Atlassian supports flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - In this role, you’ll lead high‑impact incident response in a complex cloud environment, coordinating across Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and leadership, while directly managing a 5–8 person team in the US region. - You’ll coach incident responders, raise the quality of investigations and decisions, and improve the incident response system with playbooks, metrics, exercises, post‑incident reviews, and better tooling, including driving the adoption of investigative AI tools and automation to reduce toil and accelerate triage. - You’ll also support regulated environments with formal incident handling, reporting expectations, and documented operating procedures, bringing day‑one experience leading multi‑stakeholder incidents, executive communication, and building scalable incident response programs. - The team values calm execution and blameless learning, and the role offers a rare opportunity to shape Atlassian’s major incident response, mature security operations, and responsibly integrate investigative AI at scale while partnering with senior leaders to improve customer outcomes.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, giving employees control over work-life balance. The role leads high-impact incident response in a complex cloud environment, coordinates across multiple teams, directly manages a US-based team of 5-8, and drives investigation, containment, recovery, and post-incident follow-through. You’ll improve the incident response system with playbooks, metrics, exercises, and better tooling, and push the adoption of investigative AI tools and automation to speed triage and ensure consistency, including work in regulated environments. On day one, you’ll bring proven leadership of multi-stakeholder security incidents in SaaS/cloud/enterprise settings, strong executive communication, and experience building metrics-driven incident programs with hands-on tooling knowledge, plus experience deploying AI in security operations. This role offers a rare opportunity to shape Atlassian’s incident response maturity and AI-enabled security at scale, partnering with senior security and business leaders while fostering calm, collaborative, and accountable teamwork across regions.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity; in this role you’ll lead high-impact incident response in a complex cloud environment, coordinating across Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and leadership, and directly manage a 5–8 person team in the US region. You’ll coach incident responders, raise the quality of investigations and handoffs, and improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, including adopting investigative AI tools to triage faster and surface signals while maintaining security rigor. You’ll support regulated and high-trust environments with formal incident handling, reporting expectations, and documentation of operating procedures. You should bring a strong mix of incident leadership, operational maturity, and people leadership, with experience leading complex multi-stakeholder security incidents in SaaS/cloud/enterprise, success developing senior engineers, and strong executive communication; plus hands-on familiarity with investigation workflows, detection/response tooling, log analysis, and experience deploying AI automation to reduce toil and accelerate investigations. The team values calm execution, clear communication, and continuous learning, and this role offers a rare opportunity to shape Atlassian’s major incident response, mature security operations, and responsibly advance investigative AI and automation at scale.

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. The role leads high-impact security incidents in a complex cloud environment, coordinating with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership to drive investigation, containment, recovery, and follow-through, and directly manages a team of 5–8 in the US. You’ll coach incident responders, raise the quality of investigations and executive communication, and improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, with a focus on adopting investigative AI tools and automation to triage faster without compromising rigor. You should have experience leading complex, multi-stakeholder security incidents in SaaS, cloud, or enterprise settings, strong executive communication, and hands-on familiarity with investigation workflows, detection and response tooling, and log analysis. Experience with regulated environments, incident command or major incident management, and introducing AI-assisted investigation workflows—along with a culture of calm, blameless review, continuous learning, and cross-region coordination—will set you apart and show how the role shapes Atlassian's security future.

At Atlassian, you can work flexibly (office, remote, or hybrid) and the company hires in any country with a legal entity; in this role you’ll lead high-impact incident response in a complex cloud environment, coordinating with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, while directly managing a US-based team of 5-8. You’ll coach incident responders, raise the quality of investigations and executive communication, and improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, including driving the adoption of investigative AI tools and automation to speed triage and surface relevant signals without compromising rigor. The role requires strong incident leadership, operational maturity, and people leadership from day one, with experience guiding complex, multi-stakeholder security incidents in SaaS, cloud, or enterprise environments and a track record of developing senior engineers and clear, actionable executive communication. You should have hands-on familiarity with investigation workflows, detection and response tooling, log analysis, and coordinating across globally distributed teams, plus experience deploying AI-enabled automation to reduce toil, enhance triage, enrich cases, and orchestrate response workflows, all grounded in systems thinking and calm, structured decision-making under pressure. The team culture emphasizes calm execution, collaboration, low-ego behavior, blameless reviews, measurable improvement, psychological safety, and accountability, offering a unique opportunity to shape major incidents, mature security operations, and responsibly advance investigative AI at scale.

Atlassian offers flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The company is looking for an experienced analyst relations practitioner with a deep understanding of the industry analyst landscape and strong relationships with DevOps and AI influencer analysts to drive its AI Software Delivery solutions program. In this role you will build and maintain trusted relationships with analysts at Gartner, Forrester, IDC and other firms, serving as the primary point of contact for inquiries and briefings, and coordinate cross-functional responses to RFIs and research cycles to drive favorable evaluations. You will translate analyst insights into competitive analyses and data-based recommendations for product and marketing, advise teams on leveraging analyst research in campaigns and market strategy, and explore new analyst relationships and engagement formats while driving AI-powered workflows to increase program efficiency. Qualifications include 3-5 years of Analyst Relations experience with a SaaS provider, an understanding of the industry analyst landscape and software engineering and developer-focused analysts, and a proven ability to drive a strategic Analyst Relations program with cross-functional partners.

Atlassian operates as a distributed-first company with flexible work options and virtual interviews, hiring in every country with a legal entity. The Intern program runs 12 weeks (May/June 2027–August/September 2027), is based in the Pacific Time Zone, and does not offer F1/J1 sponsorship. As a Product Design Intern, you’ll tackle real design challenges across Atlassian’s products, collaborating with designers, product managers, engineers, and researchers to turn customer problems into accessible experiences. You’ll contribute to design systems and prototypes while learning how AI-native and connected teamwork shape modern collaboration at scale, exploring AI-powered experiences across Jira, Confluence, and the cloud platform. Requirements include being enrolled full-time in a 4-year bachelor’s or 2-year master’s program, returning after the internship, graduating by June 2028, and having less than a year of professional experience, with preferred qualifications such as user-focused design experience, ability to manage multiple projects, and strong collaboration skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity to support employees' family and personal priorities. The Principal Enterprise Security Engineer is the senior technical authority responsible for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision and safeguards that enable business agility at scale. Their key responsibilities include strategic leadership to define the end-to-end security architecture across endpoints, identity, network, and data, and leading architectural reviews of major initiatives like AI adoption and zero-trust modernization. They provide technical SME guidance, influence platform and service design with security integrated from the outset, and push for risk-based investment decisions while improving productivity and safety by automating controls, drift detection, and enabling rapid change through CI/CD and policy/config change planning. They collaborate across security, engineering, and product teams, act as the liaison between Corporate Security and Product Security, and mentor security practitioners across multiple levels.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Principal Enterprise Security Engineer is the senior technical authority for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision to safeguard assets while enabling scalable innovation. Key responsibilities include strategic leadership: defining the end-to-end enterprise security architecture across endpoints, identity, network, and data; leading architectural reviews of major initiatives such as AI adoption, zero-trust modernization, and vendor onboarding; and establishing architectural controls and maturity assessments. As a technical SME, they provide security best-practices guidance, influence design to embed security from the outset, and improve productivity by automating control deployment and drift detection (IaC/PaC) and enabling rapid changes via CI/CD. They collaborate with security, engineering, product teams, and other architects, serve as the liaison between Corporate Security and Product Security, and mentor security practitioners across multiple seniority levels.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. Loom is Atlassian’s async video product that enables quick video updates instead of long messages or meetings, and it now integrates with Confluence while offering AI-generated transcripts and summaries through Rovo. Loom is used by millions across time zones and is entering an exciting new phase of expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the direction of a product people genuinely love at the intersection of product strategy, customer insight, and experimentation, through collaboration with diverse cross-functional partners. You will use quantitative analysis, experimentation, forecasting, and storytelling to communicate insights to leadership, inform roadmaps, and drive value for people, businesses, and Atlassian.

You will be a Principal Data Scientist on Atlassian’s Global Experiences Data Science team, bridging advanced analytics with the company’s customer-facing products. Reporting to the Manager of Global Experiences Data Science, you’ll lead high-impact work that shapes how millions of users experience Atlassian’s products and communicate insights to senior leaders. You’ll define and drive the data science strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks with measurable outcomes. You’ll own end-to-end development of ML models and analyses—from problem framing and data acquisition through experimentation, deployment, and ongoing evaluation—plus experimentation infrastructure like A/B test design and power analysis. You’ll surface high-impact opportunities, mentor junior scientists, set standards for modeling and code quality, collaborate cross-functionally on metrics and north-star measurements, and promote best practices in feature engineering, model monitoring, and responsible AI across teams.

DX is headquartered in Salt Lake City, Utah, and is one of the fastest-growing SaaS companies globally, helping engineering leaders boost developer productivity with data-driven insights used by Pinterest, GitHub, BNY, Xero, and others. The company has scaled profitably and tripled annual recurring revenue in recent years, and it was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater customer impact. The role (for EST and CST only) is a Commercial Account Executive who will partner with DX’s largest and most strategic customers and prospects to uncover pain points around measuring and improving developer productivity and to support proof-of-concept and long-term business cases. Responsibilities include partnering with the SDR team to develop outbound strategy into companies with 100-500 engineers, mastering the sales process, creating tailored documents for the buying process, guiding proofs of concept, and establishing DX as a pivotal driver of the prospect’s business goals across AMER and LATAM accounts. DX emphasizes mastery and high performance, with a small team of 10X performers and strong support from SDRs, SAs, and leadership, while acknowledging external factors can influence outcomes and rewarding excellence for doing the job at the highest level.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders improve developer productivity, backed by millions of data points and clients like Pinterest, GitHub, BNY, and Xero; it has scaled profitably, tripling ARR, and was recently acquired by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers, with the role open to candidates in EST and CST only. The Commercial Account Executive will partner with DX’s largest and most strategic customers, uncovering pain points around measuring and improving developer productivity and helping them evaluate DX as a long-term strategic partner. You’ll support customers through proofs of concept, help create firm business cases, manage a large territory with a high volume of inbound leads, and work with SDRs, SAs, and leadership to maximize impact across AMER and LATAM accounts. DX values individual mastery and being the best at your craft, rewarding those who excel, while acknowledging that outcomes are influenced by external factors and focusing on performing at the highest level possible.

Atlassians can work anywhere—office, home, or hybrid—and the company hires in any country with a legal entity; the role is Manager of the Commercial Solutions Engineering team for DX, leading a high-performing team to drive DX growth in mid-market and commercial sectors. You will scale our pre-sales technical strategy, coach SEs through fast-paced sales cycles, and serve as a bridge between Sales, Customer Success, Product, and Engineering to ensure our platform meets the needs of rapidly growing engineering organizations. Team development and deal strategy involve recruiting, onboarding, and mentoring SEs, fostering technical excellence and continuous learning, and acting as a player-coach on high-stakes opportunities while partnering with Account Executives to drive deal strategy and oversee POCs. Process optimization and resource allocation require standardizing POC playbooks, demo environments, and pre-sales workflows to improve efficiency and win rates, deploying SEs across a high-velocity pipeline, and representing the voice of the customer in leadership meetings while prioritizing roadmap items with Sales, Product, and Engineering based on friction and market trends, all measured by aligned KPIs. Qualifications include 5+ years in Pre-Sales/Solutions Engineering with at least 2+ in leadership, a proven track record in mid-market/commercial sales cycles, experience building scalable technical sales processes, deep engineering context (SDLC, DORA, SPACE), familiarity with APIs, SQL, and Git, and strong consultative stakeholder management and conflict-resolution skills.

DX is a Salt Lake City–based, fast-growing SaaS company that helps engineering leaders build high-performing teams and collects millions of data points daily to provide productivity insights for customers such as Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and recently closed on an acquisition by Atlassian, which will expand resources and accelerate growth and R&D to benefit customers. The role is seeking candidates in EST and CST only, and the company emphasizes mastery and performance, focusing on individuals who strive to be the best at their craft and thrive in autonomous, fast-moving environments. Responsibilities include prospecting, qualifying, and closing net-new opportunities across defined territories, owning the full sales cycle, conducting proofs of concept and business-case discussions, building a disciplined pipeline with accurate forecasts, guiding buyers through complex evaluations, and feeding market insights back into product and GTM, with a mixed AMER and LATAM territory. The ideal candidate loves winning, builds repeatable processes, is self-motivated, embraces change, takes ownership of outcomes, is a continuous learner, communicates clearly, and maintains a bias for action balanced with diligence.

DX is a fast-growing Salt Lake City–based SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily to provide insights into developer productivity, and serves clients like Pinterest, GitHub, BNY, and Xero, with profitability culminating in an acquisition by Atlassian. By joining Atlassian, DX will gain expanded resources, accelerate growth and R&D, and deliver greater impact to customers. The role is open to candidates in EST and CST only. DX values mastery and a culture centered on individual performance, recognizing that while outcomes are influenced by external factors, individuals can control their own level of work and craftsmanship. The job responsibilities include prospecting, qualifying, and closing net-new opportunities across defined territories, owning the full sales cycle, running proofs of concept and business-case discussions, building a disciplined pipeline with accurate forecasting, guiding buyers through complex evaluations, feeding market feedback to product and GTM, staying current on industry trends and roadmaps, and covering a mixed AMER/LATAM territory, while the ideal candidate loves winning, builds repeatable processes, thrives on autonomy and ownership, is a continuous learner, communicates with impact, and maintains a bias for action with diligence.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals with enterprise customers in the Central/West U.S., Canada, and LATAM, in close partnership with Sales. The role will involve negotiating enterprise cloud agreements, guiding customer requests, and driving deals to execution while developing training materials for Sales on contract terms and other legal issues. It also includes leading special projects to scale the Legal and Sales functions and bringing a legal perspective to cross-functional quote-to-cash initiatives, collaborating with Privacy, Trust, Finance, and Product teams. The candidate should be autonomous, collaborative, risk-aware, able to manage multiple priorities under tight deadlines, and capable of navigating Atlassian's decentralized, global organization with empathy for customers. They should have a strong understanding of software, cloud services, generative AI, and technology trends, think creatively to propose solutions, and Atlassian offers flexible work arrangements and hires anywhere with a legal entity.

Atlassian offers flexible work arrangements—office, home, or a mix—to help employees balance family, personal goals, and other priorities. They hire people in any country where they have a legal entity. They’re seeking a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS. You’ll own end-to-end features in a highly scalable, cross-geo environment, building robust REST APIs, crafting customer-facing UI, writing performant SQL, reviewing code, and ensuring observability, security, and performance. You’ll collaborate with product, design, and other engineers, participate in Agile ceremonies, and uphold a high bar for quality while improving engineering practices and tooling around data correctness and reliability.

Atlassian aims to reinvent B2B selling and has built a multi-billion business by delivering products that delight customers and remove friction, with this role serving as a key operational partner to the Global Solution Sales Engineering organization to drive in-period performance and scalable growth. The ideal candidate thrives in a fast-paced, high-growth environment, is highly organized, analytical, a self-starter, and able to communicate effectively from analysts to senior sales leadership. Responsibilities include acting as a trusted partner to SSE leaders across segments and geos to drive revenue performance, operational rigor, forecasting discipline, and data-driven decision-making. Core focus areas comprise forecasting and pipeline management, coverage and capacity planning, territory design and headcount planning, and driving the adoption of franchised SSE sales practices, with opportunities to implement AI and automation. The role also involves collaborating with Central Operations, Analytics, Sales Acceleration & Systems, and Sales Enablement to optimize processes, support QBRs, SPIFF tracking, performance reporting, and cadence planning for the SSE organization.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Principal Technical Program Manager is a senior individual-contributor role with portfolio-level scope, tasked with shaping and delivering the highest-priority, most complex programs across Enterprise and Emerging Businesses and held accountable for outcomes rather than just project plans. The role requires partnering with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation, spanning multiple teams and time horizons from near-term launches to multi-year platform and operating-model transformations. You will own portfolio outcomes, drive cross-functional delivery, turn ambiguity into clarity, establish durable planning and governance mechanisms, measure impact, raise the program-management craft, and lead through influence without relying on formal authority. In the first 12 months, success includes delivering high-impact programs with measurable customer or revenue impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and building durable partnerships with senior leaders.