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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 priorities. The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments to trust Atlassian Cloud products. As Senior Manager, you will lead an AMER-based team, collaborate with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to processes, tooling, and customer engagement to strengthen trust. You will shape enterprise strategy, oversee escalation management, present Atlassian’s Trust Strategy in executive briefings, support legal in negotiating security/compliance terms for Customer Agreements, and ensure scalable trust programs. The ideal candidate has 10+ years in security/GRC management, experience building high-performing teams, cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, plus experience with regulatory compliance and cloud security in a large enterprise.

Atlassian supports flexible work locations and hires people in any country where they have a legal entity, with the globally distributed Advisory Services team helping their largest strategic and enterprise customers succeed using Atlassian solutions. They are hiring a Senior Solution Consultant with a Strategy Collection focus to join the Advisory Services Delivery team as an individual contributor, delivering strategic technical guidance and helping clients realize value from their Atlassian investment. Responsibilities include collaborating on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities within a client’s organization, building deep industry expertise, creating technical content, and traveling up to 30% for internal and customer-facing events. Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical administrators to executives, expertise in Enterprise Agility, ability to map customer practices to product capabilities, experience delivering enterprise strategy and planning tool implementations, and familiarity with multiple tools and AI integrations, with English fluency and a second language (e.g., Spanish, French, Portuguese) as a plus. Perks include ample time off and an annual education budget, and Atlassian emphasizes non-discrimination and confidentiality with resources available in the Candidate Resource Hub.

Atlassian supports flexible work locations and global hiring wherever there is a legal entity, enabling values-based prioritization of family, personal goals, and other priorities. In this role you’ll lead high-impact incident response in a complex cloud environment, coordinating across teams such as Detection, Security Engineering, Product Security, Legal, Crisis Communications, and Support, while directly managing a 5–8 person US team. You’ll improve incident response through playbooks, metrics, exercises, post-incident reviews, and better tooling, and drive the adoption of investigative AI and automation to speed triage and surface signals, including work in regulated environments. On day one you’ll bring strong incident leadership, operational maturity, people leadership, executive communication, and hands-on experience with multi-stakeholder security incidents, detection/response tooling, and cross-region coordination, plus systems thinking. This role offers a rare opportunity to shape Atlassian’s security operations, advance AI-assisted investigations, and build durable, scalable incident response capabilities that improve customer outcomes.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where it has a legal entity. They are seeking a Principal Technical Program Manager to lead the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with cross-functional scope. The role involves translating business objectives into technical problems, defining a long-term strategy and roadmaps for platform components, and delivering programs that can include capacity planning, migrations, high availability, network architecture, performance optimization, and reliability improvements, with measurable outcomes. Responsibilities include managing end-to-end technical programs, prioritizing tasks, scoping projects, budgeting and scheduling, and coordinating with engineers, architects, and leaders across multiple functions to handle dependencies and drive progress. Minimum qualifications are 8+ years on software teams as a Development Manager or TPM, ability to derive technical programs from business objectives, technical understanding of systems, and strong leadership and communication skills; TPMs are not required to write code but must understand system flows and APIs, with a preferred B.S. in Software Engineering, Computer Science, or a related technical discipline.

Atlassian offers flexible work locations—office, home, or a blend—and hires in any country where they have a legal entity. They’re seeking a Principal Sales Solutions Engineer, Strategic for enterprise, to be a product expert in the sales cycle, solve customers’ toughest business problems with Atlassian solutions, and help close multi-million dollar deals. The Solutions Engineering Team collaborates with Enterprise Sales and Channel Partners to understand customer needs, deliver value-based demonstrations, support Proofs of Value, and show how Atlassian’s products drive outcomes for 250,000+ customers such as NASA, IBM, HubSpot, Samsung, and Coca-Cola, all within a culture of teamwork. Key responsibilities include partnering with sales on global transformation deals, engaging C-level executives, conducting discovery, mapping needs to Atlassian products, identifying cross-product opportunities, leading value-based demos, guiding technical requirements, coordinating with account executives and cross-functional teams, and documenting feedback and competitive intelligence. Required background includes 8+ years in pre-sales with Fortune 100 customers, strong executive communication and multi-level presentation skills, the ability to operate in both business and technical contexts, a problem-solving mindset, and a commitment to continuous learning and collaboration.

- Atlassian offers flexible work options (office, from home, or a hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams organize, discuss, and complete work, and are used by Fortune 500 companies and many others worldwide. - The Mid-Market LATAM role covers about 40 accounts (200–10,000 seats) with an annual quota of $2–4M and requires full fluency in Portuguese. - The role leads cross-functional deal teams, builds executive-level relationships across IT, business, and marketing, and uses MEDDPICC to qualify and win complex, multi-solution opportunities focused on customer value. - Responsibilities include collaborating with channel, marketing, product, and customer success teams, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends, negotiating pricing, and occasional travel for meetings and events.

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

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

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

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

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

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

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

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ personal priorities. The company is hiring a Technical Head of Engineering to lead the Agent Platform, combining people management with hands-on technical leadership in applied ML, agentic systems, platform engineering, and production-grade AI. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, and scalable across Atlassian, connecting to Rovo, Teamwork Graph, Jira agent workflows, and other products to enable agentic experiences that reason over work context and orchestrate tools while ensuring security and evaluation systems. This role exists because Atlassian is heavily investing in AI-native experiences and needs a leader who can set direction, build talent, and translate AI strategy into practical platform capabilities with ML and systems depth, not just management. Key responsibilities include setting technical direction with stakeholders, leading and developing the team (including hiring), hands-on production coding, guiding decisions on ML systems and operations, establishing an operating cadence, balancing speed with quality, trust, security, and cost efficiency, and collaborating with other teams to align roadmaps and foster an inclusive, high-accountability culture.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The role is Senior Solutions Engineer, Strategic, focused on being a product expert in the sales cycle to solve customers’ hardest business problems and help close enterprise deals. Responsibilities include partnering with sales teams and executives in large global accounts, conducting customer discovery to map needs to Atlassian products, and leading value-based demonstrations while identifying cross-product opportunities. The role also involves building executive relationships, guiding technical requirements with cross-functional teams, and collecting product feedback and competitive intelligence for internal use, with ongoing learning to deepen product knowledge. Compensation is equitable and competitive, with base pay by geographic pay zones (Zone A: 168,300–219,725; Zone B: 151,271–197,493; Zone C: 139,506–182,132), and may include benefits, bonuses, commissions, and equity; details are available at go.atlassian.com/payzones and should be confirmed with a recruiter.

Atlassian supports flexible work locations and hires globally in any country where it has a legal entity. The company is seeking a Head of Global Field Readiness to lead role-based and regional readiness across its revenue organization, translating business priorities into focused readiness plans that improve field performance. The role will manage a team of readiness professionals, serve as strategic partners to field leaders, and connect global enablement programs to the needs of specific roles, segments, and regions while arming frontline managers with coaching and reinforcement tools. Responsibilities include setting field readiness strategy, developing the team, partnering with field leadership, translating programs into field execution, advancing AI-enabled readiness, prioritization, field insights, and measuring impact with Revenue Operations and field leaders. Requirements include significant experience in revenue enablement or sales leadership within a complex B2B tech organization, ability to build trusted partnerships with senior revenue leaders, understanding enterprise selling and coaching, translating business priorities into readiness, and experience with AI-enabled learning; direct sales or sales management experience is a plus.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Technical Head of Engineering to lead Atlassian’s Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, capable of being an IC or a people manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, and scalable, connected to Rovo, Teamwork Graph, Jira agent workflows, and other products, enabling agentic experiences that reason over work context and orchestrate tools. The role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring ML and systems depth to translate broad AI strategy into practical platform capabilities. Key responsibilities include setting technical direction with stakeholders, leading and developing a team (including hiring and performance management), writing production code, guiding decisions on ML systems and production operations, establishing an operating cadence, balancing speed with quality, security, and cost efficiency, aligning roadmaps across teams, and fostering an inclusive, high-accountability culture.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity, empowering employees to balance family and personal goals. - Atlassian seeks a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers' hardest business problems with Atlassian products, and help close enterprise deals. - The role involves partnering with sales teams on transformation deals in large global accounts, engaging with C-level executives, conducting discovery, mapping needs to Atlassian solutions, and identifying cross-product opportunities. - Responsibilities include leading value-based demonstrations, guiding customers' technical needs to gain buy-in, forging strong partnerships with account executives, coordinating cross-functional support, and feeding product feedback to management. - Compensation is designed to be equitable and competitive with three US geographic pay zones, offering base pay ranges (Zone A: $168,300–$219,725; Zone B: $151,271–$197,493; Zone C: $139,506–$182,132) plus benefits, bonuses, commissions, and equity, with zone confirmation through a recruiter.

- Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines to power GenAI products at Atlassian. - They will use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. - The role provides the opportunity to lead other engineers on projects from technical design to launch. - They will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. They’re building Service Collection and are seeking a US-based Outbound Product Manager to convert High Touch GTM plays into a repeatable product and competitive advantage, collaborating across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and leadership. The OPM is not a quota-carrying seller or conventional product marketer; they act as a mini GM, turning customer and competitive evidence into product strategy and building scalable operating mechanisms for enterprise transformation, trust, and compliance. Responsibilities include owning the operating system for priority plays, turning field signals into strategy with executive-ready briefs, leading cross-functional execution without formal authority, and creating durable playbooks, dashboards, and measurement systems. Requirements include significant experience in relevant product or enterprise roles, the ability to convert ambiguity into executable plans, strong communication and influence skills, willingness to travel, and preferences for service management, security/compliance, field-to-product mechanisms, and distributed-team experience, all underpinned by evidence-led, customer-grounded, system-building attributes.

At Atlassian, employees can choose office, remote, or hybrid work arrangements and the company hires in any country where it has a legal entity. The Revenue Operations team acts as a strategic partner to customer-facing groups, turning business priorities into clear operating plans, scalable processes, and reliable insights to improve post-sales performance. The role sits in the Your Future Team, providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams to coordinate priorities and reporting. Responsibilities include shaping operational priorities with senior Customer Success leaders, coordinating cross-functional programs, defining cadences and roadmaps, translating business questions into analytics requirements, and building scalable data and reporting frameworks across Salesforce, Gainsight, and Tableau. It also emphasizes driving accountability, delivering leadership-ready materials, and identifying automation and AI-enabled workflows to enhance speed, consistency, and scale.

At Atlassian, work location is flexible and the company hires in any country with a legal entity, with the role of Sales Leader overseeing a team of Teamwork Collection Specialists focused on enterprise customers. The sales strategy centers on the Teamwork Collection, highlighting Loom and Rovo alongside Jira and Confluence, aiming to achieve aggressive revenue targets and collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers. The position includes recruiting top sales talent, fostering a high-performance culture, and building strong relationships with key Enterprise and Strategic clients while leading the team to meet sales targets and revenue goals. Responsibilities also involve developing strategic sales plans to penetrate and expand market share in the Enterprise and Strategic segments, mentoring the team, setting and tracking performance metrics, onboarding new hires, and analyzing sales data and market trends for growth opportunities. Additional duties include maintaining relationships with peer leaders, providing regular updates to senior management, staying informed on industry trends and competitors, possessing a working knowledge of organizational teamwork workflows, and emphasizing Software Delivery with AI’s emerging role in the Enterprise and Strategic segments.

Atlassians can work in the office, from home, or a hybrid, and Atlassian hires in any country where it has a legal entity, giving employees flexibility to support family and personal goals. Atlassian’s Strategy & Business Operations team is a high-impact group that partners with business leaders to drive strategy, growth, and operations, owning projects from inception to delivery and delivering creative, high-quality recommendations. The role supports leaders in the Rovo and AI organization, Atlassian’s central AI platform team that builds foundational AI infrastructure and intelligent capabilities to power the Future of Teamwork across Atlassian’s apps. You’ll map AI innovations to company-wide priorities, drive data-driven decision-making, lead operational processes for long-, medium-, and short-term planning with OKRs, and steward business reviews to inform executives through cross-functional collaboration. On day one, you should have 8+ years of experience in a high-growth software/tech environment in BizOps or consulting/investment banking, be comfortable with ambiguity, demonstrate strong executive presence and communication skills, use AI tools to accelerate work, and show ownership and curiosity about technology.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity, enabling employees to balance family, personal goals, and priorities. They’re seeking a Principal Sales Solutions Engineer, Strategic for their enterprise business, who is a product expert in the sales cycle, solves customers’ hardest business problems with Atlassian’s products, and helps close enterprise deals. The team serves over 250,000 customers worldwide (including NASA, IBM, HubSpot, Samsung, and Coca-Cola) and emphasizes value selling and cross-product solutions, guided by a teamwork-focused culture where employees work with Atlassian, not for Atlassian. The Solutions Engineering team partners with Enterprise Sales and Channel Partners to handle transformation deals in large global accounts, engaging C-level executives, performing customer discovery, identifying opportunities for cross-product expansion, and mapping business problems to Atlassian products. Responsibilities include being a product expert in pre-sales, leading value-based demonstrations, guiding customers’ technical needs to gain buy-in, forging strong partnerships with account executives, coordinating cross-functional teams, collecting product feedback and competitive intelligence, and continuously improving pre-sales knowledge and processes.

- Atlassian offers flexible work locations (office, home, or a mix) and hires in any country with a legal entity, giving employees more control over family, personal goals, and priorities. - They’re hiring a Principal Sales Solutions Engineer, Strategic for enterprise, to be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. - The company serves over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, focusing on value selling and showing how product combinations create enterprise outcomes, with a “play as a team” culture where employees work with Atlassian, not for Atlassian. - The Solutions Engineering Team collaborates with Enterprise Sales and Channel Partners to understand customer needs, strategize large multi-million dollar deals, deliver value-based demos, and support proofs of value to unlock the potential of customers’ teams. - Responsibilities include partnering with sales, partners, and executive-level customers; conducting discovery; identifying cross-product opportunities; acting as a product expert in pre-sales; leading demos; guiding technical requirements; coordinating with account executives; and continuously learning about products, offerings, and sales processes.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity to support employees’ personal goals and priorities. The role is an Enterprise solution seller focused on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. Responsibilities include exceeding targets for Enterprise Strategy & Planning bookings and OKRs, developing strategic plans for Land & Expand across AMER/APAC, closing complex six/seven-figure SaaS transactions, building strong CXO relationships, collaborating with Account Executives, Solution Engineers, Advisory Services, SDRs, and Channel partners, and presenting forecasts while identifying market shifts and competition status. Qualifications require 12+ years of enterprise cloud software sales experience, expertise in Strategic Portfolio Management, PPM, ERP, or CRM solutions, a proven track record of meeting or exceeding targets, experience leading CXO relationships and closing complex enterprise SaaS deals, and a BS/MS in business, IT, or a related field. The role emphasizes cross-functional collaboration and market awareness to drive pipeline, revenue, and expansion opportunities.

Atlassian offers flexible work options, letting employees work in an office, from home, or in a hybrid arrangement. They can hire people in any country where the company has a legal entity. The role includes acting as a knowledge leader in Service Management trends to inform sales strategies and the positioning of Jira Service Management. It involves collaborating with sales teams to develop and execute strategies that drive revenue growth, and engaging with customers to understand their business needs and propose value-based solutions. There is cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on sales strategies and explore co-selling opportunities.

At Atlassian, employees can choose where they work, and they hire in any country where the company has a legal entity; as a senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search, and drive end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants with strict SLO targets for availability, latency, and relevance. In ML Model Development & Serving, you will build production ML models including neural rankers, embedding models, and reranking systems, integrate them into serving infrastructure using frameworks such as Triton and PyTorch, and collaborate with ML researchers to translate experiments into production-grade systems with robust monitoring and evaluation harnesses. In Agentic Search & Retrieval, you will design retrieval systems for agentic and RAG use cases—personalized indexes, grounding pipelines, and multi-step retrieval workflows—and partner with Rovo and AI platform teams to evolve search infrastructure as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale. You will drive operational excellence and cost discipline through observability, monitoring, incident response, and FinOps-driven optimization across vector search and ML serving fleets, while maintaining production health and mentoring junior engineers as part of cross-functional collaboration with engineering leads, product managers, and platform stakeholders.

Atlassian offers flexible work setups and hires globally wherever they have a legal entity. The Product Counsel team acts as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in AI and related technologies. The Director of Product Counsel will advise on emerging AI, data governance, IP, and platform architectures, develop scalable playbooks and guardrails, and serve as the primary legal partner for product initiatives. The role requires a versatile generalist who can navigate unfamiliar products and tech stacks, synthesize input from multiple legal disciplines, and thrive in a fast-paced, async environment. Applicants should have 8+ years of software/product counseling experience, a JD with bar license, a background in both law firm and in-house settings, strong writing skills, and familiarity with Atlassian tools is a plus.

Atlassian offers flexible work arrangements and hires globally wherever there is a legal entity. As Principal Machine Learning Engineer in Confluence AI, you’ll shape the next generation of AI-powered experiences and turn rapid ML advances into scalable product features. You will own the full stack of AI product development—from product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership—collaborating with product, platform, and partner teams. Responsibilities include setting technical direction for ML initiatives across Confluence (content creation, editing, summarization, recommendations, multimodal interaction), building production-grade ML systems and evaluation loops, and delivering customer-facing AI capabilities with measurable outcomes. You will identify failure modes, make high-leverage architectural decisions balancing quality, latency, cost, safety, and maintainability, mentor other engineers, and help ship deeper AI experiences across editor surfaces, content types, and collaborative workflows.

The AI Productivity Lead, Sales Development, is a hands-on product builder embedded in SDR who will embed AI into prospecting, prioritization, personalization, coaching, and pipeline creation, with an executive mandate to redesign how the team works and increase pipeline without adding headcount. You will discover, build, ship, measure, and scale AI-powered workflows that make SDRs and SDR managers more productive. You will identify high-value opportunities by shadowing SDRs and managers and analyzing workflows across tools like Salesforce, Outreach, Gong, and Slack, maintaining a prioritized backlog of AI improvements. You will design, prototype, launch, and iterate internal AI products such as research agents, account briefs, meeting-prep assistants, manager briefs, coaching copilots, forecast assistants, territory planners, and pipeline inspectors, and you will lead an experimentation roadmap across meetings, connect rates, personalization, ramp, administrative time, forecasting, coaching, and qualified pipeline. You will lead cross-functional delivery with Engineering, RevOps, Enablement, Product Marketing, Sales leadership, and AI governance to deliver secure, governed, adopted solutions; embed AI into daily work; build guardrails for privacy, security, cost, performance, and human judgment; and measure impact through adoption, time saved, meetings booked, pipeline created, conversion, manager hours reclaimed, ramp impact, and revenue contribution.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires globally where it has a legal entity, aiming to unleash the potential of every team with its agile, DevOps, IT service management, and work-management software. Its solutions, including Jira Software, Confluence, and Jira Service Management, are used by Fortune 500 companies and others (NASA, Audi, Kiva, Deutsche Bank, Dropbox) to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and targets revenue while acting as a customer advocate to provide feedback to product and engineering. In this role you will own roughly 40 accounts (200–10,000 seat), carry a 2–4M annual quota, lead cross-functional deal teams, develop executive-level relationships, apply MEDDPICC to qualify and win complex opportunities, pursue multithreaded, multi-solution deals, collaborate with channel, marketing, product, and customer success, negotiate pricing, source leads, forecast accurately, and stay informed on industry trends. Occasional travel for customer meetings, industry events, and team gatherings is expected, with all activities aligned to Atlassian's values and evolving sales model.

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.

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

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

Atlassians can choose to work in an office, from home, or a combination, giving them more control over family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. DX's Solutions Engineering Team is seeking a Pre-Sales Senior Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical enterprise deals. The role involves leading technical evaluations with Account Executives, running PoCs and pilots, and guiding discovery, strategy, and consultative questioning to understand client needs and design tailored solutions. The engineer also acts as a trusted advisor on deployment methodologies and analytics integrations and provides technical feedback to Product and Engineering to inform roadmaps.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where the company has a legal entity. The Forward Deployed Architect is a non-traditional role that blends enterprise-grade technical design with consulting-style business transformation; it's not a traditional Solutions Engineer or hands-on-keyboard role, and the FDA is embedded with 1–3 strategic accounts for 3–9 months with up to 50% travel. In business transformation and expansion, the FDA designs the customer’s System of Work using Jira, Confluence, Rovo, and the Atlassian platform, leads cross-functional workflow design, expands adoption beyond development to HR/Finance/Marketing/PMO/Operations, and drives AI adoption with enablement and success metrics. In architecture and technical design, they own the target-state architecture across Plans, Goals, Work, Knowledge, Code, and AI, design full-stack patterns, co-design AI-native workflows, and ship durable artifacts such as reference architectures and IaC modules. In orchestration and influence, they lead executive discovery with CIOs/CTOs and other leaders, orchestrate cross-team delivery, feed product with field patterns, mentor colleagues, and represent Atlassian externally through talks and publications.

Atlassian offers flexibility in where employees work and hires in any country where they have a legal entity. The DX Solutions Engineering Team at Atlassian is seeking a Pre-Sales Senior Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals as the solution expert throughout the sales cycle. Responsibilities include leading technical evaluations with Account Executives, driving POCs and pilots, and clearly demonstrating platform value and feasibility. The role involves technical discovery, strategy, consultative questioning to understand client engineering processes and goals, and designing tailored solutions that integrate the company's APIs with client workflows. It also includes acting as a trusted advisor on deployment methodologies and analytics integrations, and capturing feedback from prospects to inform product and roadmap improvements.