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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 through a hybrid Product Marketing + Developer GTM role. Your immediate priority is TEAM for Builders, Atlassian’s Tier 1 developer event, where you’ll own the developer marketing strategy—from audience and narrative to launches, programming, acquisition, and post-event activation—crafting a cohesive GTM motion. You will own developer platform positioning for Forge, partner with Product and Engineering to translate technical capabilities into developer value (including AI-enabled development, extensibility, APIs, MCP, and agents), and collaborate across Product, Developer Advocacy, Events, Brand, Community, and Ecosystem to align launches, advocacy, community, and growth into a year-round developer journey. The role requires 7+ years in product or developer marketing, experience with technical products, strong storytelling, a track record of owning complex launches and cross-functional programs, strategic thinking with hands-on execution, and comfort working with technical concepts without needing to write production code. In year one, success means making TEAM for Builders a defining developer moment, delivering a clearer, cohesive platform narrative, connecting launches, events, advocacy, community, and growth into a stronger GTM motion, and becoming a trusted partner to Product and Engineering, with Atlassian offering flexible work arrangements and global hiring.

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.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Atlassian's Rovo Experiences & Growth organization builds customer-facing AI experiences to help people find, understand, and act on their organization's knowledge, with teams spanning Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions. The organization leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences, and shapes the convergence of Search and Chat for multi-step interactions and actions. It develops rich, reusable experience foundations, reduces fragmentation, and partners with product, design, data science, ML, and engineering to define and deliver a roadmap of high-impact Rovo experiences, enabling rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. Additional responsibilities include leading complex cross-organizational initiatives, raising quality and operational excellence, standardizing AI development and deployment into scalable, composable approaches, and mentoring senior engineers while fostering inclusive collaboration and continuous learning.

- 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.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country with a legal entity to help employees balance family, personal goals, and priorities. The way people find and use knowledge at work is changing: AI agents must understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called context-layer across the enterprise ecosystem, with their team working at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. They are solving problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, presenting an opportunity to shape search in the agent era. The role involves building systems for AI agents to discover information, reason over enterprise knowledge, and choose capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with considerations of permissions, freshness, latency, trust, heterogeneous data, and multi-tenant systems.

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 looking for 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, home, or a hybrid—and the company can hire in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition and data exploration to model development, experimentation, evaluation, deployment, and optimization, partnering with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions. You will design and implement state-of-the-art ML algorithms for production, own ML projects end-to-end, and design robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design and execute rigorous experiments and evaluations, collaborate with cross-functional teams to integrate AI capabilities into Atlassian products, translate research into reliable production-quality systems, identify opportunities to improve model performance and customer outcomes, communicate decisions and results clearly to technical and non-technical audiences, and mentor others while contributing to technical strategy and a culture of experimentation and iterative delivery.

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 seeking a Senior Machine Learning Engineer for its Search & Intelligence group to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Atlassian offers flexible work options and hires in any country where it has a legal entity. In this role you will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the entire ML lifecycle from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class part of AI development, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and guiding product and engineering decisions, while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. You will design scalable architectures, apply modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models; conduct offline and online evaluations, build datasets and pipelines, communicate technical decisions clearly, mentor engineers, 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.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the customer lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, while striving for durable business value. Requirements include 5+ years in ML, a Bachelor’s or Master’s degree (preferably CS), strong Python (plus Java/Typescript), SQL, Spark, cloud data environments, and experience delivering large-scale ML in business applications, with the ability to communicate ML concepts to diverse audiences and a pragmatic, iterative mindset. Nice-to-have: experience in consumer or B2B SaaS contexts, familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, and collaboration with product/analytics/marketing/sales to build personalized journeys.

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—office, home, or hybrid—and is hiring a Machine Learning Engineer to join Growth to build intelligent, personalized experiences that help customers discover value, adopt Atlassian, and progress through the lifecycle. The Growth team brings together product, engineering, data science, analytics, and product operations to optimize the full funnel—from acquisition and onboarding to activation, expansion, and retention—through experimentation, personalization, and intelligent orchestration. You will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including creating data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product rankings and personalized journeys. You will define the ML strategy to support Atlassian’s short-, mid-, and long-term goals and partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, while monitoring attribution, latency, quality, and fairness. Requirements include a Bachelor’s or Master’s in CS (or equivalent), 5+ years of ML experience, proficiency in Python (and Java/Typescript), SQL, Spark, cloud data environments (AWS, Databricks), experience building scalable models and datasets/evaluations, strong communication skills, an agile, iterative mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional experience in SaaS/B2B or consumer growth contexts.

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 offers flexible work options, 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 inserting a job description. Overall, the message emphasizes adaptable work arrangements and international hiring capabilities.

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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 text includes a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the message emphasizes flexible work options and broad global hiring.

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.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility helps Atlassians better support 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 indicating that a job description should be inserted. Overall, the text emphasizes flexible work arrangements and global hiring capabilities.

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, office/home/hybrid work and hires globally where it has legal entities, and operates the Trusted Data Platform (TDP) for secure, scalable data storage across clouds, including data residency, encryption, and compliance, with TDP SQL as the managed relational database layer. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, accountable for people, strategy, execution, and operating outcomes, working with senior engineers, product, infrastructure, security, and other Atlassian teams to make TDP SQL a dependable internal platform. The role emphasizes building an inclusive, high-performing engineering organization, establishing effective operating practices, and balancing strategic investments, customer commitments, and technical debt. Responsibilities include defining and executing the TDP SQL strategy and roadmap, ensuring reliability with SLAs and incident response, and improving adoption by reducing integration complexity while supporting data residency and regulatory needs. Cross-functional leadership covers architectural direction across multiple clouds, managing platform costs and partner relationships, and making investments that prioritize customer trust and 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, remote, or hybrid) and hires in any country where they have a legal entity. The Public Sector Enterprise Advocate role requires deeply understanding customers and how they leverage Atlassian’s products, nurturing existing relationships and building new ones, with a focus on migrating customers to the FedRAMP cloud offering. The advocate will be the customer account lead, directing resources and orchestrating cross-functional teams such as Channel Partners and Solutions Engineers throughout the customer journey. They will serve as a liaison between executives in product and engineering and the customers to help guide future roadmap and improve the customer experience. If you’re customer-obsessed and creative, can organize resources, love the Enterprise Sales process, and fit Atlassian’s sales model, this is a career-changing opportunity and you would report to the Director of Federal Sales.

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 options (office, home, or hybrid) and hires in any country where it has a legal entity, guided by core principles centered on customer outcomes, strategic engagements, long-term value, and crafting beautiful, repeatable results. - The Principal Value Advisor for DX is a highly influential individual contributor who shapes strategic value engagements, defines the value proposition of DX solutions, and sets the standard for craft excellence and customer-centricity across the organization. - Key responsibilities include engaging with senior executives to develop tailored value-based solutions, building business cases and metrics, delivering executive storytelling, driving innovation in DX offerings, and collaborating across functions with up to 15-20% travel. - Must-have qualifications include 7+ years in value or strategy consulting, extensive experience with cloud technologies and digital transformation, proven ability to lead cross-functional engagements, and strong financial modeling and executive communication skills. - Nice-to-have elements include familiarity with Atlassian products, experience with workflow or service management tools, regional language coverage, and relevant industries such as financial services, software/tech, and government.

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 arrangements (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The Sales and Success Strategy team creates pragmatic, customer-centric GTM strategies driven by data insights to uncover growth opportunities, optimize the sales process, and boost market share, with success measured by profitability, market share, and customer delight. Atlassian is seeking a Principal Strategist to develop the GTM strategy for Public Sector, using qualitative and quantitative methods to identify opportunities and design initiatives that drive P&L growth from Public Sector customers and scale value across customers and partners. The role is an individual contributor who will partner with Public Sector sales and product executives and cross-functional stakeholders to define the long-term direction of the business, thrive in a fast-paced environment, and ideally bring a strong SaaS background. Responsibilities include developing actionable GTM strategies from ideation to design, conducting due diligence, performing financial and market analysis, forecasting revenue targets, testing novel ideas, and leading multi-layered stakeholder management to secure cross-functional support from frontline to C-suite.

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.

Atlassian allows employees to choose their work location—office, home, or a mix. This arrangement 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 policy emphasizes flexibility to help staff balance work with life considerations. Overall, the text highlights a flexible, globally accessible work model designed to empower employees.

- 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.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally to build a 100-year company with empowered engineering teams and the right tools. Engineering at Atlassian prioritizes AI and the transition to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, champion a high technical standard across Atlassian, and drive cross-functional, company-wide initiatives. You will transfer knowledge, share best practices, and mentor the next generation of technical leaders to improve engineering excellence. The ideal candidate has 10+ years of full-stack experience (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication and mentoring skills, a focus on customer impact in decision-making, and familiarity with A/B testing.

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.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees control over family and personal priorities. It aims to build a 100-year company through a world-class engineering organization of empowered teams, focused on AI and the cloud transition for customers, while delivering value through Jira, Confluence, Trello, and Bitbucket. Atlassian seeks individuals eager to shape the future and collaborate to achieve extraordinary results. In this role, you will tackle the largest and most complex problems, provide technical leadership, address architecture challenges, raise the technical bar, collaborate on company-wide initiatives, share best practices, and mentor future technical leaders. Requirements include 10+ years of full-stack experience with languages such as Java, Scala, Node, JavaScript, or React; a CS degree (or equivalent), deep systems engineering experience at scale (testing, reliability, security, observability), strong communication, mentoring ability, customer-focused decision making, and 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's Strategy Collection aims to connect company strategy to execution, align teams around priorities, track progress, and enable scalable decision-making, while offering flexible work options and global hiring where legally allowed. They are seeking a Principal Product Manager to lead core Focus capabilities within Strategy Collection, shaping how Focus helps leaders define priorities, connect work to outcomes, and monitor progress. The role is hands-on and cross-functional, responsible for defining the product strategy, roadmap, and operating cadence for Focus, and for driving AI-native development across discovery, prototyping, experimentation, evaluation, launch planning, and post-launch learning. Qualifications include 8+ years in enterprise SaaS product management with AI fluency, 0-to-1 product development, experience shipping AI/ML-powered capabilities (LLMs, agentic workflows), and strong cross-functional leadership and executive communication. The position reports to the Head of Product for Strategy Collection and requires the ability to translate customer and business needs into pragmatic priorities, create executive-ready narratives, and drive teams from ambiguity to execution with measurable outcomes.

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 supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The company is hiring a Lead Product Designer for the Rovo & AI team, with responsibilities spanning the Rovo flagship AI experience and AI features across Jira, Confluence, Bitbucket, and other Atlassian apps, with the team primarily based in Australia and the U.S. West Coast. Responsibilities include leading the strategic vision and design outcomes for AI experiences, applying systems thinking to navigate complex product relationships, and demonstrating strong visual and interaction design to communicate impact while guiding other designers. You will partner with leadership and cross-functional teams to create a unified design view of AI capabilities, lead end-to-end design projects, tie outcomes to customer value, identify success metrics, and seek opportunities to accelerate AI and search experiences. Qualifications call for 10+ years of enterprise product design, a track record of org-wide design programs, end-to-end UX design, storytelling, balancing user, business, and technical feasibility, cross-functional collaboration, design systems expertise, and experience measuring success and improving processes.

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 aims to unleash the potential of every team and is investing in Generative AI, seeking a Principal ML Systems Engineer (P60) to lead GenAI Products & Knowledge Innovations in the US. The role focuses on building 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 scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and build retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. You’ll enable rapid prototyping and applied research by partnering with scientists to create POC systems and evolve them into production-ready services, while optimizing latency, throughput, and resource efficiency. You’ll collaborate across disciplines and contribute to best practices in deployment, monitoring, and evaluation, helping establish the team as a world-class GenAI systems innovation hub, with flexible work options (office, home, or hybrid) and hiring across any country where Atlassian 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 Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. They are 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 Atlassian’s Teamwork Graph. The team also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. Atlassian offers flexible work arrangements and hires in any country where they have a legal entity, giving teams control over office, remote, or hybrid work. The role will lead the development and implementation of cutting-edge ML algorithms and models, collaborate with product, engineering, and analytics teams, design architectures, drive rigorous experimentation, 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 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.

- Atlassians can choose where they work, including 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. - The company can hire people in any country where it has a legal entity. - This policy highlights a commitment to flexible work and global hiring. - The excerpt ends with the letters "NTD."

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 supports flexible work arrangements—employees can work in an office, from home, or a mix—and hires in any country where the company has a legal entity. In this role, you’ll be the Manager, Customer Success Architects (AI), leading a pod that drives adoption of Atlassian's AI platform, Rovo, and delivers real, measurable business value in production. You’ll hire, coach, and develop Customer Success Architects (AI), own pod-level operations, capacity planning, engagement quality, and adoption metrics, ensuring engagements progress from initial activation to outcomes. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering to deliver solutions, surface product friction, influence roadmap priorities, and help expand AI use cases across new markets, with collaboration across Account Teams, CSMs, and Sales leadership. On day one you’ll lead with people management and enablement, maintain playbooks and product updates, align pod capacity with pipeline, advocate cross-functionally, and travel up to 15% while complying with GDPR and EU AI Act requirements.

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, home, or a combination—and hires in any country where they have a legal entity. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities and cross-sell and user expansion opportunities, nurturing relationships, and achieving revenue targets, while also acting as customer advocates by providing feedback to product and engineering to improve the customer experience. Collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers is essential to guide customers’ deployment and utilization of Atlassian at scale. The role includes leading a Central Region Mid-Market sales team, developing customized sales strategies and programs to expand market share, mentoring and guiding the team, setting performance goals, and recruiting and onboarding new Account Executives. Additional duties involve analyzing sales data and market trends, conducting regular performance evaluations, staying informed about industry dynamics and competitors, and upholding Atlassian values as a compass for the evolving sales model.

Atlassian offers flexible work arrangements—office, home, or a hybrid model—and hires in any country with a legal entity, giving employees control over family and personal priorities. The Mid-Market sales team is responsible for managing a portfolio of mid-sized customers, focusing on cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and achieving revenue targets. The role also requires advocating for customers by providing feedback to product and engineering to improve the customer experience, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deploy Atlassian at scale. In this role, you will lead and manage a team of Mid-Market sellers in the Central Region, develop strategic sales plans, provide mentorship, set performance goals, and recruit, hire, and onboard new Account Executives. You will analyze sales data and market trends, conduct regular performance evaluations, stay informed about industry trends and competitor activity, and collaborate with internal teams to improve sales processes and overall customer satisfaction.

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 options (office, home, or hybrid) and hires in any country with a legal entity, giving employees more control over personal and family priorities. The role focuses on leading an enterprise Account Executive team to meet regional sales targets, develop strategic plans to expand market share, and provide mentorship and performance management. Responsibilities include recruiting and onboarding new sales members, collaborating with internal teams to streamline processes, analyzing sales data, evaluating performance, managing key client relationships, and reporting progress to senior management. Qualifications require 10+ years in sales, 5+ years in management (preferably as a second-line sales leader), a proven track record of meeting or surpassing targets, proficiency with CRM and analytics tools, and fluency in French preferred, along with experience in consultative, value-driven sales and working with senior stakeholders. The ideal candidate is motivated to challenge traditional sales models, excel in a fast-paced international environment, take initiative, and share insights with the team.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where it has a legal entity. The role centers on leading an enterprise Account Executive team to achieve regional sales targets, developing strategic plans to expand enterprise market share, mentoring the sales team, setting performance goals, and recruiting as needed while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes and improve customer satisfaction. Responsibilities also include analyzing sales data and market trends, conducting regular performance evaluations, managing key client relationships and negotiations, and providing updates on sales performance to senior management while staying informed about industry dynamics. Qualifications require 10+ years in sales and at least 5 years in management, with preferred experience as a second-line sales leader, a proven track record of meeting or exceeding targets, proficiency with CRM/pipeline/analytics tools, and French language skills preferred. The ideal candidate should be coachable and motivated to empower selling professionals, adept at value-driven and solution-oriented consultative selling, comfortable engaging senior stakeholders, eager to challenge traditional sales models, and thrive in a fast-paced international environment.

Atlassian supports flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity. The role is Lead Paid Search Strategist, a senior individual contributor who will own the global paid search program across the Jira, Confluence, Trello, Loom, and other products, defining brand and nonbrand portfolio strategies and advancing bidding, attribution, and measurement systems. Responsibilities include owning and governing paid search strategies, driving in-house search automation and value-based bidding, directing agencies on execution and quality, and partnering with Data Science to run causal experiments and embed search data into MMM, MTA, and customer lifetime value models. The role also covers forecasting budgets across product lines, evolving strategies for AI-driven SERP changes, collaborating with Ad Ops on data resilience and privacy-compliant tracking, monitoring auction insights, and implementing automated counter-conquesting. Qualifications include 8+ years of paid search in high-growth B2B SaaS/enterprise tech, multi-million-dollar budget management, technical direction for conversion APIs and attribution models, expertise in causal experimentation and MMM, agency leadership, and preferred skills in SQL, BigQuery, and multilingual campaign governance.

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 options (office, home, or hybrid) and hires in any country where it has a legal entity. The role centers on expert executive calendar management across time zones, meeting prep with agendas and notes, and leading the planning and logistics of virtual and in-person events with vendor and contract oversight. It also drives the rhythm of business by coordinating leadership cadences, planning offsites, town halls, and quarterly reviews, while handling budgeting, purchase orders, expenses, and travel for the leader. The position requires cross-functional collaboration, strategic partnership with executives, and producing internal communications and presentations to align teams and goals, using tools like the Atlassian suite, Google Workspace, Slack, Zoom, and Workday. The ideal candidate has 7+ years of executive assistant experience in high-growth tech, is a team player who can navigate change, make data-informed decisions, and is eager to grow within Leadership Operations.

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 supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, as it moves from product-led growth to an AI-powered enterprise go-to-market. - This role, Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada, exists to generate pipeline for sales and translate Atlassian’s AI and platform transformation into in-market narratives and proof points. - You’ll own the 1:1 omni-channel ABM strategy, partner with sales to create campaigns for target accounts, plan events, and collaborate with central teams and partners to accelerate deals—using AI tools to inform strategy and measure performance. - On day one, the candidate should have 7+ years of B2B marketing, 3+ years of 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. - Nice-to-have items include experience marketing platform or enterprise transformation products to C-suite buyers, familiarity with both PLG and sales-led motions, knowledge of Atlassian’s product suite, and a background in a high-growth B2B SaaS company navigating a major product or positioning shift; the team is Regional & Partner Marketing, a global group of strategists accountable for pipeline.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity, while the company is at an inflection point, evolving from a product-led growth engine to an enterprise go-to-market on top of its installed base, with AI accelerating everything as Jira, Confluence, Loom, and Rovo become an AI-powered platform. The role of Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada is to bring Atlassian’s AI and platform transformation story to life in-market and generate pipeline for sales. Key responsibilities include directly generating and accelerating pipeline, creating 1:1 omni-channel ABM campaigns using AI tools (Rovo, Atlassian Intelligence, third-party platforms), and collaborating with sales leadership, events, partner marketing, and central teams to meet regional priorities. On day one, the role requires 7+ years of B2B marketing with 3+ ABM, proven pipeline generation across multiple channels, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation/CRM (Salesforce & Marketo a plus). The position sits within Regional & Partner Marketing, a global, strategy-forward team aiming to shape Atlassian’s next chapter market-by-market and align with both PLG and enterprise GTM motions.

As an Atlassian Support Account Manager (SAM), you will be the primary technical contact for high-profile customers, requiring deep product knowledge and a focus on delivering exceptional service and proactive guidance to prevent issues while building strong relationships. You will collaborate with Support, Engineering, and Product Management to resolve problems efficiently, drive fast resolutions of open support cases and escalations, and provide high-touch support during incidents and security events with root cause analysis and action items. You’ll act as the voice of the customer inside Atlassian, prioritizing bug fixes, enhancement requests, and action items, coordinate planned events (system health checks, upgrades, migrations), and align action plans with customers' business goals to maximize their investment. You will create account plans, stay current on new product versions and roadmaps, advise customers on beneficial upgrades, produce security alerts and release communications, and present insights and strategies to customers and Atlassian leadership. Atlassian supports flexible work locations (office, home, or hybrid), hires globally where there is a legal entity, and weekend/holiday coverage may be required for events, HOTs, and escalations.

As a Support Account Manager (SAM) at Atlassian, you’ll be the primary technical contact for high-profile customers, requiring deep product knowledge and proactive guidance to prevent issues. You’ll build direct relationships with the customer’s senior technical leadership and drive open support cases and escalations to fast resolutions, collaborating with cross-functional teams such as Support, Escalations, Engineering, and Product. You’ll provide high-touch support during incidents and security events, ensure constant communication, deliver root cause analyses and action items, and align your plans with the customer’s business goals while voicing their needs to prioritize bugs and enhancements. You’ll coordinate planned events like system health checks, upgrades, and migrations; create account plans to improve support experience and efficiency; and stay current on new product versions and roadmaps that may benefit their environment. You’ll conduct customer deep dives and present insights to customers and Atlassian senior leadership, work Monday–Friday with possible weekend/holiday coverage for events and escalations, and enjoy flexible work locations with hiring available in any country where Atlassian has a legal entity.

As a Support Account Manager (SAM), you’ll serve high-profile customers as the primary technical contact, requiring deep product knowledge and a focus on delivering exceptional service and proactive guidance to prevent issues. You’ll build direct relationships with the customer’s senior technical leadership, develop in-depth knowledge of their environment, and drive open support cases and escalations to fast resolution by coordinating with Support, Escalations, Engineering, and Product. You’ll provide high-touch support during incidents and security events, ensure constant communication, conduct root cause analyses with actionable items, and be the voice of the customer to prioritize product bugs and enhancement requests. You’ll coordinate planned events such as system health checks, upgrades, and migrations, conduct regular technical reviews, create account plans, and advise on new product versions and roadmaps that benefit the customer’s environment. Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where we have a legal entity, with regular hours Monday–Friday and possible weekend/holiday coverage for events and escalations.

A Support Account Manager (SAM) is the primary Atlassian contact for customer technical needs, building direct relationships with senior technical leadership and possessing deep product knowledge to address issues promptly. The role drives fast resolution of open support cases and escalations by coordinating cross-functional resources across Support, Escalations, Engineering, and Product, and provides high-touch incident and security event support with clear communication, root cause analysis, and action items. SAM represents the voice of the customer inside Atlassian, prioritizing bug fixes, enhancement requests, and action items, coordinating events such as system health checks, upgrades, and migrations, and proactively preventing issues through technical reviews and trending analysis. They create account plans to improve the customer experience, stay current on product versions and roadmap benefits, and produce and present insights, action items, and strategies to customers and Atlassian senior leadership. The role includes regular Monday-Friday hours aligned to the customer’s time zones, with possible weekend/holiday coverage for events, HOTs, and escalations, and Atlassian supports flexible work locations and hiring in any country where it has a legal entity.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The company’s growth in the service management market, especially Jira Service Management, is accelerating, and channel partners are essential to customer success. Atlassian is seeking a Sr. Partner Solutions Architect to grow the service management partner ecosystem by providing pre-sales through post-sales consulting and architectural support. The role involves collaborating with Partner & Alliance teams, partner managers, Marketing, Sales, and Product to enable partners, develop acceleration strategies, build collateral and reference architectures, and guide deals through the cycle. Additional duties include partnering with product management to identify opportunities, delivering technical enablement workshops, sharing resources to evolve practices, and contributing to thought leadership at conferences and partner events.

Atlassian supports flexible work locations, global hiring, and virtual interviews as part of a distributed-first culture. They are seeking a Sr. Partner Solutions Architect to grow ITSM‑focused channel partners around Jira Service Management, with pre‑sales to post‑sales consulting and architectural skills. The role sits in the Partner Solutions Acceleration team, collaborating with Partner & Alliance, Channel, Marketing, Sales, and Product to help partners build enterprise JSM services and accelerate the partner ecosystem. Responsibilities include creating collateral and reference architectures, supporting deals across sourcing, pre‑sales, and post‑sales, and delivering technical enablement workshops and thought leadership. The person will also feed market feedback to product teams, develop account strategies with Channel teams, and represent Atlassian at conferences and partner events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever they have a legal entity, with virtual interviews and onboarding as part of their distributed-first approach. The company is accelerating growth in the service management market, led by Jira Service Management, and channel partners play an essential role in customer success. They seek a Sr. Partner Solutions Architect to help grow channel partners focused on service management, leveraging pre-sales to post-sales consulting and architectural expertise. The role is part of the Partner Solutions Acceleration team, collaborating with Partner & Alliance teams, Partner managers, Marketing, Sales, and Product to develop a strategy and collateral such as ESM solutions, blueprints, and reference architectures. Responsibilities include supporting partners through the deal cycle, developing compelling account strategies, delivering technical enablement workshops, gathering market feedback for product improvements, and representing Atlassian at conferences and partner events.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and other priorities. The company is hiring a Senior Incident Response Analyst with strong technical skills in threat analysis and incident management to protect Atlassian’s corporate and cloud environments and safeguard data for Atlassian, its customers, and partners. Key responsibilities include acting as an escalation point for security incidents, investigating logs across multiple sources, conducting post-incident reviews, participating in on-call rotations, developing automated response capabilities, leading incidents, and performing threat hunting, forensics, playbook development, and tabletop exercises. Qualifications include 5+ years in a security domain, specialization in areas such as malware analysis or threat hunting, experience with AI-assisted tools, programming or scripting in languages like Python, Ruby, Java, or Go, cloud experience (AWS/GCP), project delivery, open-source contributions, and strong communication skills. The role sits within Atlassian’s Security Detection and Response organization, and the company values diverse skills, collaboration with development teams, and ongoing security improvements across products and engineering practices.

Atlassian supports flexible, location-agnostic work and hires globally where it has a legal entity. They are seeking a Senior Incident Response Analyst/Incident Responder with strong technical skills, threat analysis expertise, and a solid background in incident management to safeguard Atlassian's and customers' data and systems across corporate and cloud environments. The role involves leading security incidents, hunting for signs of compromise, developing and automating response strategies, and collaborating with cross-functional teams to enhance security posture, with day-to-day duties including escalation, log analysis, post-incident reviews, on-call duties, threat hunts, tooling and automation, playbooks, evidence collection, and tabletop exercises. Requirements include 5+ years in security, specialization in areas such as malware analysis/forensics/threat hunting/network analysis/cloud endpoint analysis, experience with AI-assisted tools, programming/scripting languages, cloud experience (AWS/GCP), project delivery, and strong communication, with contributions to the security community or open source a plus. The role sits within Atlassian's Security Detection and Response organization, a cross-disciplinary group spanning Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering, which collaborates with development teams to improve product security and practices, with remote work options noted (#LI-Remote).

Atlassian supports flexible work arrangements and hires globally where they have a legal entity. The company is seeking a Principal Customer Success Manager in the Strategic Segment to help customers realize value from Atlassian investments by delivering scalable methodologies for product adoption and long-term growth. The role involves building executive-level relationships, guiding complex enterprise customers across multiple products, and executing adoption strategies to drive early and sustained success. Responsibilities include developing customer success plans with the account team, conducting regular check-ins and quarterly business reviews, navigating complex implementations with partners, and mitigating churn by identifying risks early. It also emphasizes being the Voice of the Customer, sharing feedback to improve services for strategic accounts, and aligning with Atlassian’s value-driven, team-oriented culture for 300,000+ customers.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. The company is seeking a Principal Customer Success Manager in the Strategic Segment to help customers realize value from Atlassian products by delivering scalable methodologies that drive adoption, solution expansion, and long-term growth. The Principal CSM will build executive-level relationships, guide complex enterprise customers across their journey, and work across multiple products and practice areas to support diverse, global teams. Responsibilities include developing customer success plans with regular check-ins and QBRs, navigating complex implementations with partners, and executing adoption strategies to mitigate churn and expand the customer footprint. The role also entails being the Voice of the Customer, providing internal feedback to improve service for strategic customers within a collaborative, value-driven team culture.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, enabling employees to balance family, personal goals, and other priorities. Atlassian is seeking a Principal Customer Success Manager in the Strategic Segment; CSMs help customers realize value from their Atlassian investment by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth. In this role you’ll build relationships across the Atlassian customer journey, guide complex customers through hurdles, deliver value through proactive engagement and best practices, and work across multiple products and solution areas with executives and global teams. The team serves more than 300,000 customers—including NASA, IBM, HubSpot, Samsung, and Coca-Cola—focusing on value and teamwork, and you’ll develop trusted advisor relationships, guide success plans with check-ins and QBRs, navigate global deployments with partners, and drive adoption and expansion while mitigating churn. You’ll be the Voice of the Customer, providing internal feedback to help Atlassian better serve its strategic customers.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally in countries where it has a legal entity. - In the Strategic Segment, Principal CSMs help customers realize value from their Atlassian investment by delivering scalable methodologies that support product adoption, solution expansion, and long-term user growth. - The role involves building executive-level relationships, guiding complex enterprise customers, and working across multiple products to support adoption and value realization. - You’ll develop trusted advisor relationships, create customer success plans with regular check-ins and QBRs, navigate multi-partner implementations, and drive adoption strategies to mitigate churn and expand footprints. - Finally, you’ll be the Voice of the Customer, providing internal feedback to help Atlassian better serve strategic customers within a collaborative, value-driven culture.

Atlassian offers flexible work options—office, remote, or hybrid—and can hire in any country where it has a legal entity. The role is Principal Customer Success Manager in the Strategic Segment, focused on helping customers realize value from Atlassian by delivering scalable methodologies that drive product adoption, solution expansion, and long-term customer growth. You’ll build relationships with C-suite and executive stakeholders, guide complex enterprise customers across multiple products, and collaborate with global teams to maximize value and expansion of their Atlassian investments. Responsibilities include developing Customer Success Plans with regular check-ins and QBRs, navigating multi-partner implementations, maintaining up-to-date product knowledge, executing adoption and change management for high-value accounts, and mitigating churn with the account team. You’ll act as the Voice of the Customer, providing internal feedback to help Atlassian better serve strategic customers.

Atlassian supports flexible work arrangements and hires in every country where it has a legal entity. The Principal Customer Success Manager in the Strategic Segment helps customers realize value from Atlassian by delivering scalable methodologies that drive product adoption, solution expansion, and long-term growth across multiple products. The role requires building trusted advisor relationships at the C-suite, guiding complex enterprise customers through hurdles, and delivering value through proactive, programmatic engagement. Responsibilities include developing Customer Success Plans with regular check-ins and QBRs, navigating multi-party global implementations, and keeping product knowledge up to date to address specific needs. The position aims to mitigate churn, expand high-value accounts, act as the Voice of the Customer, and collaborate with account teams in a value-driven, team-focused culture, serving customers like NASA, IBM, HubSpot, Samsung, and Coca-Cola.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ family and personal goals. Atlassian is seeking a Principal Customer Success Manager in the Strategic Segment, whose CSMs help customers realize value by delivering scalable methodologies for product adoption, solution expansion, and long-term growth. In this role you’ll build executive relationships, guide complex customers through hurdles, and enable value realization via proactive, programmatic engagement across multiple products and practice areas. You’ll engage a range of customer profiles, develop trusted advisor relationships at the C-suite and executive levels, create success plans with regular check-ins and quarterly business reviews, and navigate complex global implementations with partners to meet enterprise needs while driving adoption and expanding customer footprint and mitigating churn. Finally, you’ll act as the Voice of the Customer, providing internal feedback to help Atlassian better serve its Strategic customers.

Atlassian offers flexible work arrangements, letting employees work from the office, from home, or in a hybrid setup to support personal goals and priorities. The company can hire people in any country where it has a legal entity, with its office in Bengaluru but remote work options available across India. They are looking for a Principal Backend Software Engineer to join a world-class engineering organization focused on AI initiatives and helping customers transition to the cloud, delivering value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, from technical design to launch, setting architectural standards, and leading thorough code reviews and high-risk bug fixes. It also requires collaborating across engineering teams on company-wide initiatives, transferring knowledge between languages, and mentoring junior engineers while driving technical leadership.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with an office in Bengaluru but remote work available across India. They are seeking a Principal Backend Software Engineer to join and drive creative improvements for engineering teams. The future team is building a world-class engineering organization focused on AI, cloud transitions, and delivering value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling large, complex problems from design to launch, delivering cross-team solutions, planning large projects, addressing architecture challenges, leading code reviews and documentation, fixing high-risk bugs, and setting standards. It also includes mentoring junior engineers and sharing knowledge to excel in the current programming language.

Atlassian offers flexible work options (office, home, or a mix) and a fully remote non-traditional sales role eligible in the UK. The company helps teams worldwide, with the Mid Market Sales team established in 2019, supporting large customers like Vodafone, Daimler, and Klarna to scale their Atlassian investments. They seek a proactive Account Executive to unlock untapped potential within existing customer relationships and drive growth by expanding Atlassian’s footprint with accounts that already know us but haven’t fully realized our value. Responsibilities include identifying and developing growth opportunities within an assigned UKI customer portfolio and developing strategic account plans to expand adoption and uncover new use cases. The role also involves implementing named account or territory plans, collaborating with channel sales to build territory strategies, and serving as the main point of contact for designated Mid-Market accounts.

- Atlassian offers flexible work options (office, home, or hybrid) and the Sales role is fully remote, eligible for candidates in the UK. - The Mid Market Sales team helps large customers scale their Atlassian investments. - The team was established in 2019 and includes professionals from Fortune 500 companies and startups, united by a commitment to hit targets while upholding Atlassian’s values. - They are seeking a proactive Account Executive who will unlock untapped potential within existing customer relationships and drive growth by expanding Atlassian’s footprint. - Key responsibilities include identifying opportunities within an assigned UKI portfolio, developing strategic plans to expand adoption and use cases, executing territory or named account plans to maximize product expansion and customer success, collaborating with channel sales, and serving as the main point of contact for designated Mid-Market accounts.

The Account Executive, Mid-Market (P50) is a senior, quota-carrying sales role in the Benelux region responsible for driving strategic revenue growth across a defined mid-market portfolio, owning the entire commercial process from outbound to close. At the P50 level, the role emphasizes moving beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, using data-driven territory planning and executive-level engagements. Success is measured by quota attainment, executive engagement (a minimum of 3 executive briefings and 7 executive sales calls per fiscal year), and the ability to influence cross-functional teams to deliver a coordinated customer experience. The role includes Strategic Revenue Ownership, Advanced Territory & Account Planning, Executive Relationship Management, Consultative Value Selling, and Cross-Functional Leadership to orchestrate Solution Engineers, Channel Partners, Marketing, and Customer Success. Additional responsibilities cover CRM hygiene and MEDDPICC forecasting, contributions to sales playbooks, expansion into emerging Atlassian products, and mentorship of junior AEs/SDRs along with pursuing mandatory certifications.

The Account Executive, Mid-Market (P50) in the Benelux region is a senior, quota-carrying seller responsible for strategic revenue growth across a defined mid-market book, acting as the account team's quarterback from outbound pipeline generation to negotiation and close. The role requires moving beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, supported by data-driven territory plans and engagement with C-level stakeholders through strategic briefings. Success is measured by quota attainment, executive engagement, and the ability to lead cross-functional teams to deliver a coordinated, high-impact customer experience. Key responsibilities include owning an annual ACV quota for new business and expansion, sophisticated territory planning, executive relationship management (minimum 3 executive briefings and 7 executive calls per fiscal year), consultative value selling with ROI/TCO models, cross-functional leadership, and driving strategic product expansion in areas like Jira Service Management and Atlassian Intelligence. The role also emphasizes operational and analytical excellence (CRM hygiene, MEDDPICC forecasting) and mentorship, including completing mandatory certifications and helping develop junior AEs/SDRs while sharing regional market insights.

The Account Executive, Mid-Market (P50) in Benelux is a senior, quota-carrying role responsible for driving strategic revenue growth across mid-market accounts and serving as the quarterback of the end-to-end sales process. At P50, the role moves beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, using data-driven territory plans and strategic C-level engagements. Success is measured by quota attainment, executive engagement, and the ability to influence cross-functional teams to deliver a coordinated, high-impact customer experience. Core responsibilities include owning an annual ACV quota targeting new business and expansion, executing advanced territory planning, building and maintaining executive relationships (minimum 3 briefings and 7 executive calls per fiscal year), and employing ROI/TCO models in a discovery-led approach. The position also requires cross-functional leadership with Solution Engineers, channel partners, Marketing, and Customer Success; maintaining CRM hygiene and MEDDPICC forecasting; driving product expansion into areas like Jira Service Management and Atlassian Intelligence; and mentoring junior AEs/SDRs.

- 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 arrangements (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. They’re seeking an exceptional Solutions Engineer who will partner with enterprise sales and regional channel partners to understand customer needs, deliver compelling demos, and help close significant deals. The team serves over 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, and Coca-Cola, and emphasizes value selling and a culture where employees work with Atlassian, not for Atlassian. The role focuses on strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, and technical sales leadership. It also highlights collaboration with sales, customer advocacy, and feeding feedback to product teams, with high earnings potential and opportunities at the forefront of cloud and AI.

Atlassian offers flexible, distributed-first work arrangements and hires globally where they have a legal entity, with virtual interviews and onboarding. They’re seeking an exceptional Solutions Engineer to work with enterprise sales and regional channel partners to understand customer needs, strategize, deliver demonstrations, and drive enterprise deals to closure while ensuring solutions meet client demands. The role sits on a team serving 300,000+ customers worldwide (NASA, IBM, HubSpot, Samsung, Coca-Cola) and emphasizes value selling and a culture of “play as a team,” where employees work with Atlassian, not for Atlassian. It offers high earnings potential with opportunities in cloud and AI, focusing on leveraging enterprise opportunities and cross-product solutions. Key responsibilities include strategic technical engagement, opportunity identification for cross-product expansion, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

1) Atlassian offers flexible work options—office, remote, or hybrid—so employees can better balance family and personal priorities. 2) The company hires people in any country where it has a legal entity. 3) Roles involve driving large, complex projects autonomously from technical design to launch. 4) They tackle architecture challenges, evolve architectural standards, lead code reviews and documentation, and own high-risk bug fixes. 5) They collaborate across engineering teams on company-wide initiatives and mentor junior engineers through pairing and design coaching.

Atlassian offers flexible work options—office, remote, or a hybrid arrangement. This flexibility helps Atlassians better support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. Engineers drive large, complex projects autonomously from technical design to launch, tackling architecture challenges and evolving standards. They also lead code reviews and documentation, own high-risk bug fixes, partner across engineering teams for company-wide initiatives, and mentor junior engineers through pairing and design coaching.

Atlassian supports flexible work arrangements—employees can work from office, home, or a mix—and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company; this particular role requires you to be located in India. You will lead an engineering team within Jira Service Management's IT Operations organization, one of Atlassian's fastest-growing cloud portfolios and a recognized leader in the modern ITSM/ITOM market, with a mission to transform how engineering and IT teams detect, respond to, resolve, and prevent incidents at enterprise scale. The team builds and runs mission-critical, high-throughput, and highly reliable services—powering alerting, on-call scheduling, incident orchestration, and mobile experiences—that thousands of global organizations depend on 24/7, as part of a distributed, highly collaborative triad of Engineering, Product, and Design. In this role, you will be responsible for high-quality software delivery, grow individuals and groom leaders, contribute to architecture, partner closely with Product and Design to define roadmaps and measure impact, identify blockers and success metrics, guide technical and architectural decisions, and foster an inclusive, high-performing team culture. Your background should include 12+ years of experience managing software engineers, recent hands-on coding experience, experience building and operating large-scale cloud-based web or SaaS products, a proven track record partnering with Product Management and Design, excellent communication in a distributed environment, and a Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Atlassian offers flexible, distributed work and hires globally with virtual interviews and onboarding, but this role requires you to be located in India. You will lead an engineering team within Jira Service Management IT Operations, one of Atlassian’s fastest-growing cloud portfolios and a leader in the ITSM/ITOM market, building and running mission-critical services that power incident management for thousands of organizations 24/7. You’ll be part of a distributed triad (Engineering, Product, and Design) and focus on technical excellence, operational rigor, and continuous innovation to deliver high-velocity experiences. Responsibilities include delivering high-quality software, growing individuals and shaping architecture, partnering with Product and Design to define roadmaps and measure impact, identifying blockers, ensuring OKR/roadmap awareness, guiding architectural decisions for speed, reliability, and maintainability, and fostering an inclusive, high-performing team culture with coaching. The required background includes 12+ years managing software engineers in production environments, hands-on coding experience, building large-scale cloud/SaaS products, partnering with Product Management and Design, strong communication in distributed settings, and a CS/Engineering degree or equivalent.