The Ampin App
deep insights into the Atlassian community

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, but this Senior Principal Engineer role must be located in the United States to coordinate with teams in the US, Australia, and India. The role centers on Atlassian’s Trusted Data Platform (TDP) and Data Exchange Platform (DXP), delivering secure, scalable data storage, streaming, processing, and movement across multi-cloud environments while meeting data residency, encryption, regulatory, reliability, disaster recovery, and operation requirements. It is a high-leverage individual-contributor position that provides organization-wide technical leadership, shaping the architecture and evolution of the cloud-agnostic data infrastructure, including compute/runtime, streaming substrates, and platform intelligence for reliability, cost, adoption, and operational health. Responsibilities include establishing architectural direction across multiple teams, leading reviews, mentoring engineers, defining multi-year strategy, coordinating across the US, Australia, and India, and driving multi-cloud data/compute, streaming, and intelligence initiatives with emphasis on reliability, security, and cost efficiency. Success means delivering reusable platform capabilities, translating complex requirements into architectures and roadmaps, guiding cross-functional decisions and investments, and improving engineering quality while maintaining hands-on involvement for key technical work.

The Sales and Success Strategy team at Atlassian builds customer-centric GTM strategies using data-driven insights to drive sustainable, profitable growth, optimize the sales process, and enhance customer experiences. They measure success by profitability, market share, and customer delight, and develop initiatives that fuel P&L growth across various programs. Atlassian is seeking a Principal Strategist (an individual contributor) to develop GTM strategy across initiatives, partnering with cross-functional executives to define long-term direction and unlock the Atlassian System of Work. The role involves turning ideas into actionable GTM plans—from ideation and due diligence to applying frameworks and creating scalable options to meet fiscal year goals and long-term performance targets, using qualitative and quantitative analysis. It requires strong stakeholder management, influencing across all levels from frontline staff to the C-suite, and building trust and relationships to marshal resources and test novel approaches that deliver value at scale.

At Atlassian, employees can work anywhere; Atlassian hires from any country with a legal entity, and the Rovo team builds search capabilities to help AI agents find, understand, and act on enterprise knowledge across Atlassian products and connected applications. Enterprise search is challenging because information is scattered across documents, conversations, tickets, and other systems, and agent queries depend on company-specific terminology, permissions, and information that changes over time. The Principal Architect will define the architecture for enterprise agentic search, owning the design of retrieval, agent orchestration, context construction, evaluation, and LLM training, while delivering prototypes and guiding engineers and scientists. Responsibilities include establishing system boundaries and reusable capabilities, designing for enterprise complexity (permissions, tenant isolation, freshness, domain language), balancing search quality with scalability, latency, cost, and reliability, and defining benchmarks, datasets, evaluation environments, and reproducible experiments. They will lead technical direction across teams with a multi-quarter roadmap, validate architecture through implementation and production results, and drive continuous improvement of agent task success.

At Atlassian DX, the mission is to unleash the potential of every team through open work, and as a CSM you will partner with DX’s customers to drive engineering transformation using our platform, managing an important segment through implementation, rollout, and renewal while ensuring product utilization, business alignment, and high-value use cases. Atlassians can work anywhere—office, home, or hybrid—and the company hires in any country where it has a legal entity. You’ll join a collaborative team of CSMs reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and influencing important company decisions beyond individual performance. The role emphasizes proactive, strategic partnership over firefighting, including becoming a product expert and owning the full customer lifecycle from implementation to renewal, creating and maintaining a success plan, meeting renewal and expansion targets, forecasting renewals, identifying renewal risks, and establishing DX as a key driver of customers’ business goals through executive discussions and expansion opportunities. You will work cross-functionally to ensure customer success, proactively track key account metrics, and identify new use cases where DX can support while driving continuous improvement.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments to trust Atlassian’s Cloud products. As a Senior Manager, you will drive the growth and expansion of how Atlassian earns and maintains customer trust, oversee an AMER-based team, and coordinate with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support to improve practices and influence product features. You will lead strategic planning, improve processes, tooling, and reporting to scale Trust Engagement programs, act as the primary contact for Strategic & Enterprise customer escalations, and support executive briefings and legal negotiations. Requirements include 10+ years in security/GRC management, a track record of leading high-performing teams and cross-functional influence, experience scaling trust programs across large organizations, familiarity with AI tools and AI security/compliance considerations, and knowledge of certifications like FedRAMP, ISO 27001, PCI-DSS, plus cloud security experience in large enterprises.

Atlassian supports flexible work locations and global hiring, with a Trusted Data Platform that provides secure, reliable, and scalable data storage to meet data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operation needs. TDP SQL is Atlassian’s managed relational-database platform, giving engineering teams a supported way to build applications without handling the underlying infrastructure, availability, security, scaling, or enterprise controls, and the company seeks a Senior Engineering Manager to lead the TDP SQL engineering team. The role entails leading and developing engineering managers and engineers, building an inclusive, high-performing team through effective hiring, onboarding, talent development, and succession planning, and establishing operating practices for predictable execution while balancing capacity across strategic investments, customer commitments, operational work, and technical debt. Strategy and execution involve defining and executing the TDP SQL strategy and roadmap aligned with Atlassian’s data-platform and cloud-infrastructure goals, translating enterprise and product requirements into measurable outcomes and milestones, surfacing risks early, and increasing platform adoption by reducing integration complexity and delivering production-ready capabilities. Reliability, customer trust, and cross-functional leadership include owning the platform’s operational health (availability, durability, performance, security, compliance, recoverability), establishing service-level objectives and on-call practices, guiding architectural direction across multiple clouds, managing cost posture and unit economics, and representing TDP SQL in engineering reviews, leadership forums, and portfolio planning.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity. The role sits on a team delivering solutions for US Public Sector, focusing on scaling Atlassian Government Cloud (FedRAMP Moderate) with a “build once, authorize many” architecture. The team defines the end-to-end roadmap, partners with core platform, product engineering, security, Risk & Compliance, Legal, and GTM, engages agency sponsors and public sector partners, shapes pricing/packaging, and drives Marketplace readiness and ecosystem collaboration. As a Product Manager, you will co-create and sequence the roadmap, translate regulatory controls (e.g., NIST 800-53, RMF) into product requirements, drive cross-functional execution, gather agency feedback, and guide pricing and launch readiness, while serving as an SME on public sector needs and compliance. Requirements include B2B SaaS PM experience with a focus on platform/security/compliance, US public sector or regulated environments, understanding of cloud concepts and control mappings, and a proven ability to lead cross-functional initiatives; nice-to-have items include FedRAMP lifecycle experience, 3PAO assessments, GSA/FedRAMP PMO engagement, and knowledge of NIST SP 800-53, NIST RMF, CMMC, or related frameworks, plus experience enabling third-party apps and partner ecosystems.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—to better support employees’ family, personal goals, and priorities. The company hires people in any country where it has a legal entity. Core responsibilities include system integration and API engineering: designing, building, and maintaining robust custom integrations, middleware, and webhooks linking third-party SaaS tools (e.g., Atlassian/JSM, enterprise AI tools, developer software) with internal systems. The role also covers tool optimization and rationalization with SAM/HAM, DevInfra, and procurement; automation and workflow engineering; technical support and troubleshooting; vendor and SLA oversight; budgeting and licensing; and cross-functional alignment. Experience managing or deploying developer AI integrations (e.g., OpenAI, Anthropic, Cursor APIs) and enterprise usage tracking frameworks is valued.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The role leads high-impact incident response in a complex cloud environment, coordinating with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, and directly manages a US-based team of 5-8. You’ll improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, and drive the adoption of investigative AI tools and automation to speed triage, surface relevant signals, reduce toil, and maintain rigorous security without compromising judgment. You’ll need a strong track record of leading multi-stakeholder security incidents in SaaS, cloud, or enterprise settings, with excellent executive communication, experience building metrics-driven programs, and hands-on familiarity with investigation workflows, detection/response tooling, log analysis, and cross-region coordination, including deploying investigative AI tools. The team culture emphasizes calm execution, collaboration, blameless reviews, continuous learning, psychological safety, and accountability, and the role offers a rare opportunity to shape Atlassian’s major-incident response, mature security operations (including follow-the-sun models), and responsibly scale investigative AI in security.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is Senior Manager for the Atlassian Government Cloud platform, leading a team of engineers to build end-to-end release components and shift toward operator-approved releases, with hands-on leadership. You will own the Government release process—from planning and branching to release readiness, cutover, rollback, and go/no-go decisions—defining what “ready to ship” means and escalating incidents as needed. You’ll manage 10-15 engineers, set expectations and career development, build bench strength, and drive a multi-quarter roadmap that reduces risk and cycle time using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. Finally, you’ll collaborate across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance to align release and launch readiness, communicate with senior leadership, run blameless post-release reviews, and ensure compliance with change management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian offers flexible work locations and hires globally wherever they have a legal entity. They are seeking a Sales Leader to oversee Teamwork Collection Specialists, building enterprise-level sales strategies around Teamwork Collection (Loom, Rovo, Jira, and Confluence) to meet aggressive revenue targets. The role involves cross-functional collaboration with Core accounts, channel partners, product specialists, account managers, and solution engineers to refine sales processes and enhance customer value and satisfaction, while recruiting and coaching high-performing sales professionals and managing enterprise/strategic client relationships. Responsibilities include leading the team to achieve targets, developing strategic plans to grow market share, mentoring, setting and tracking performance metrics, hiring/building the team, analyzing data and market trends, and conducting regular evaluations. The position requires maintaining relationships with peer leaders, providing updates to senior management, staying current on industry trends and competitor dynamics in the Enterprise/Strategic segments, and having a working knowledge of organizational teamwork workflows; ideally with emphasis on Software Delivery and the evolving role of AI in those segments.

Atlassian offers flexible, distributed work options and hires in any country with a legal entity, with details at go.atlassian.com/distributed. Atlassian’s Grad++ program provides hands-on technical training, professional growth, dedicated mentorship, and strong social connections to launch a successful career at the company; the role is located in Seattle, WA, and you must be able to work from that location, with no F1/J1 eligibility and no sponsorship. As a New Graduate in the Data Engineering team, you'll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers and products to ensure the quality and usefulness of data assets, while helping strategize measurement, data collection, and generated insights to improve product experience, engagement, efficiency, costs, and guide strategy. You'll report to a Data Engineering Manager and learn from mentors who are among the best Data Engineers, with Data Engineering offering a multi-faceted role including defining metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, enablement, alerting, visualization, and reporting, all while developing at scale and improving efficiency. In sum, this opportunity blends technical data work, cross-functional collaboration, and strategic data initiatives to empower product decisions.

- Atlassian offers flexible work locations and hires in any country where they have a legal entity, emphasizing distributed collaboration. - The Intern program combines hands-on technical training, mentorship, and social connections to prepare students for a successful career at Atlassian; this role is located in the Seattle hub and requires working from that hub, with no eligibility for F1/J1 students or any sponsorship. - The paid internship runs for 12 weeks, roughly May/June through August/September 2027. - As a Data Engineering intern, you’ll influence product teams, support Data Science and Analytics Platform teams, and partner with data consumers to ensure data assets are high quality and useful, including defining metrics, collecting data, and generating insights to improve product experience, engagement, efficiency, and costs. - You’ll report to a Data Engineering Manager and learn from a team mentor, with responsibilities spanning metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, alerting, visualization, reporting, and scalable, efficient development.

Atlassian lets employees choose where they work—office, home, or a mix—and hires from any country with a legal entity, serving over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca‑Cola to unleash team potential with software and drive revenue growth. The company emphasizes the value of “play as a team,” supports one another, shares knowledge, and has employees work with Atlassian, not for it, while offering strong sales earning potential in a vast enterprise market. Atlassian is advancing responsible AI integration into its cloud products, migrating customers to the cloud, and building trust through cost transparency, faster collaboration, and improved business outcomes as part of a bold sales strategy. The sales role focuses on steering a set of high-value, strategic accounts, understanding their long-term goals, and developing customized plans to expand and retain them, while nurturing relationships with decision-makers and executives and collaborating across internal teams and partners to deliver aligned solutions. Key responsibilities include strategic account or territory planning, serving as the primary contact or escalation point, negotiating contracts, conducting market research, providing forecasts, maintaining deep product knowledge, traveling as needed, and mentoring junior team members.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity. The Advisory Services Delivery team is a globally distributed group of Atlassian experts helping large strategic and enterprise customers realize value from Atlassian products. They’re hiring a Senior Solution Consultant (Strategy Collection focus) as an individual contributor to provide strategic technical guidance, align outcomes, drive business results, create prescriptive content, and identify opportunities for service and product expansion. Ideal candidates have 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience with Strategy Collection tools and other enterprise tools, AI integrations, fluency in English (a second language is a plus), and up to 30% travel. Atlassian offers perks like ample time off, an education budget, volunteer days, and a culture that emphasizes inclusion and confidentiality, with resources such as a Candidate Resource Hub to learn more about the process.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role is Principal Technical Program Manager, a senior individual contributor with department- and portfolio-level scope to shape and deliver high-priority, complex programs for the Developer Infrastructure & Productivity teams. Responsibilities include translating business objectives into technical problems, defining a long-term strategy and roadmap, coordinating with leaders across product, engineering, design, and other functions, and delivering measurable outcomes through scalable program-management systems. The role requires managing end-to-end programs across capacities such as migration, high availability, network, performance, and reliability, and partnering with engineers and architects to progress on these problems with a systematic approach to scope, prioritization, budgeting, and scheduling. Qualifications include 8+ years of software-team experience as a Development Manager or TPM, the ability to translate business objectives into technical problems, understanding of systems, and strong leadership and communication skills; a BS in software engineering, CS, or related discipline is preferred.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where they have a legal entity. The Principal Enterprise Security Engineer serves as the senior technical authority for corporate architecture, SaaS platforms, and workforce technologies, driving long-term vision and controls to safeguard assets while enabling business agility at scale. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture, lead architectural reviews of major initiatives (e.g., AI adoption, zero trust modernization, vendor onboarding), and establish controls and periodic maturity assessments. They provide technical SME guidance, influence platform and service design to embed security from the outset, offer risk-based architectural recommendations, and improve productivity by automating control deployment and drift detection via IaC/PaC, enabling CI/CD for policy/config changes. Collaboration spans security, engineering, and product teams, serving as the architecture liaison between Corporate Security and Product Security, and acting as a role model and mentor for engineers across multiple seniority levels.

- Atlassian offers flexible work options and hires globally; the role is based in the US with a preference for Pacific or Mountain time, and regular travel to Sydney, San Francisco, and Seattle is expected. - The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping how humans and agents collaborate across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. - This leader will head a global team across Australia, the United States, and India, report to Jira’s Head of Product, and act as an immediate deputy responsible for strategy, team-building, and executing major initiatives. - Key focuses include owning a multi-year strategy for human-agent work in Jira, driving the core Jira experiences, defining AI/agent context, and accelerating agent adoption through in-product discovery, onboarding, automation, and related efforts. - Additional responsibilities involve building and scaling a large product organization, upholding experience-led product management standards, partnering cross-functionally with Atlassian teams, and representing customer and market voice to shape a durable Jira vision.

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

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

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

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

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

- Atlassian supports flexible work locations and hires globally where they have a legal entity. - They’re hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences. - The Agent Platform Team builds foundational, reusable capabilities to make AI agents useful, secure, scalable, and integrated with products like Rovo, Teamwork Graph, and Jira agent workflows. - The role requires both strategic direction and hands-on coding—guiding ML architecture, evaluation, quality, reliability, observability, production operations, and team development while balancing speed with security, privacy, and cost. - The leader will translate AI strategy into practical platform capabilities, align roadmaps with stakeholders across Rovo, Product and platform teams, and foster an inclusive, high-accountability culture.

Atlassian offers flexible work options—office, home, or a mix—and hires globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role focuses on analyzing objectives, customer needs, adoption inhibitors, and industry trends to define a long-term platform and product strategy and roadmaps in collaboration with stakeholders. It involves identifying architectural bottlenecks to shape multi-year technical strategies for core Sales, Commerce & Finance systems and translating complex business requirements into clear technical problems and roadmaps. The position leads cross-organizational programs such as billing modernization, legacy platform migrations, high availability, and SOX/financial controls, and identifies gaps to plan actions to realize the strategy with engineers and architects. It requires partnering across UX, engineering leaders, and cross-functional teams to align on experiences and scalable integrations, while driving governance, predictable delivery, and mentoring the Technical Program Management craft.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both to better support personal goals and priorities. The company hires people in any country where it has a legal entity. They are hiring a Senior Front End Software Engineer who will report to an Engineering Manager and collaborate with design and product management to influence the product direction. The role involves writing and shipping efficient, fast, scalable, and high-quality client code that delivers value to customers and supports the goal of becoming the best project management tool for business teams. Responsibilities include delivering projects autonomously from design to launch, collaborating across engineers, designers, and managers, partnering with design and product teams, and contributing to code reviews, documentation, and complex bug fixes.

- Atlassian supports flexible work options (office, remote, or hybrid) and hires globally in countries where it has a legal entity. - The company is seeking a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI & Agent Platforms. - The role will drive the evolution of foundational conversational interfaces, agent execution runtimes, extensible skill ecosystems, contextual memory architectures, and policy-driven model routing, treating the AI platform as Platform Products with first-class developer experience, robust API contracts, and sound economics. - Responsibilities include multi-quarter roadmaps for agent loops and memory/skill orchestration, large-scale platform migrations with zero user disruption, and establishing SLOs, observability, AI cost optimization, caching, capacity planning, plus data residency, privacy controls, and AI safety guardrails. - The position requires cross-functional influence across leadership, alignment with executive stakeholders, and mentoring of TPMs to elevate platform thinking and execution excellence.

Atlassian offers flexible work options to balance business responsibilities and family needs. They are hiring a Machine Learning Engineer for the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The role focuses on turning behavioral and product signals into scalable ML systems for cross-product recommendations and a unified, value-aware orchestration of personalized journeys across surfaces like navigation, flags, and app-switcher experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, expansion, and sales experiences, define the ML strategy, and collaborate with product, engineering, data science, analytics, marketing, and sales to translate opportunities into experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include a BS/MS in CS or equivalent, 5+ years of ML experience, strong Python (plus Java/TypeScript), SQL, Spark, cloud data environments, large-scale modeling, datasets/evals, excellent communication, and an agile, pragmatic approach; familiarity with contextual bandits, uplift modeling, recommender systems, causal inference is a plus, with preferred experience in SaaS/B2B growth and personalization.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where the company has a legal entity. Atlassian’s design approach centers on clarity, connection, and joy, with AI at the core to create intuitive, human-centered interactions across tools. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo), unifying strategic bets, workforce capacity, delivery, and financials into a single living view. Responsibilities include defining the 0-to-1 design vision, setting craft standards, managing 5–10 designers, partnering with Product and Engineering leadership, and championing AI-native workflows to earn trust from C-suite and portfolio managers. Qualifications include experience scaling senior ICs/managers, a portfolio demonstrating consumer-grade craft, success in nascent 0-to-1 environments, hands-on AI prototyping, and fluency in B2B/enterprise domains; preferred are AI-first backgrounds and familiarity with SPM, OKRs, analytics, workforce planning, or financial governance platforms.

Atlassian supports flexible work locations and hires globally, with virtual interviews and onboarding as part of being a distributed-first company. Atlassian is seeking a Principal Machine Learning Scientist to join the Central AI team in Bellevue, WA. The Central AI organization builds the fundamental infrastructure, data pipelines, frameworks, models, and other capabilities to accelerate AI feature development across the company. Central AI is part of the Atlassian Intelligence program and aims to accelerate AI innovation, provide cohesive AI experiences, and lay the AI infrastructure for the future, while most AI work will be conducted by federated product teams. In this role, you’ll drive development of cutting-edge ML algorithms, train sophisticated models, collaborate with product, engineering, and analytics teams, design system and model architectures, conduct experiments and evaluations, and mentor other ML engineers to realize AI's potential across Atlassian's offerings.

Atlassian supports flexible work locations, letting employees choose between office, home, or a hybrid arrangement to better support family and personal goals. They can hire people in any country where they have a legal entity. The role is ML System Engineer on the AI & ML Platform's Inference team, responsible for designing and optimizing large-scale model serving systems end-to-end. Responsibilities include architecting scalable distributed infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimizing latency and throughput under real production workloads, building reliable, high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, and creating robust CI/CD for model deployment and inference engine updates. The role also involves partnering with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian offers flexible work locations—office, home, or a hybrid—allowing hires in any country with a legal entity, and this role is located in PST. The company seeks a Credit and Collections Manager to lead the AMER region’s Credit and Collections function as a regional people manager, delivering reliable operations, strengthening controls, reducing risk, and supporting quote-to-cash priorities. Key duties include leading day-to-day operations, coaching the team, overseeing credit assessment, limits, monitoring, collections, disputes, and customer reviews, approving complex credit checks, using risk analytics to identify emerging risk, and partnering across Sales, Revenue, Accounting, IT, and other teams. Requirements include 7+ years in Accounts Receivable, Credit, Collections, or related areas, 3+ years of people leadership, strong knowledge of credit management and controls, and excellent communication and cross-functional collaboration skills; preferred qualifications include Oracle Fusion, SAP/NetSuite, broader quote-to-cash experience, automation experience, and a CPA. The role sits within the Atlassian Accounting Team and emphasizes supporting audit processes and continuous improvement while upholding Atlassian’s commitment to diversity and inclusion.

Atlassian offers flexible work options—office, remote, or a mix—and can hire people in any country where it has a legal entity, helping employees support family and personal goals. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI, and the role can be hands-on as an individual contributor or a manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, connected to Rovo, Teamwork Graph, Jira agent workflows, and other products, enabling agentic experiences that reason over work context and orchestrate across tools. The role exists because Atlassian is investing heavily in AI-native experiences and needs a leader who can set direction, build talent, and create an execution rhythm across fast-moving AI platform work, with ML and systems depth to discuss architecture, evaluation, quality, reliability, and tradeoffs. Key responsibilities include setting technical and execution direction with stakeholders, leading and developing a team (hiring, performance management, and career growth), writing production code, guiding decisions across ML systems, agent workflows, context retrieval, evaluation, observability, and production operations, creating an operating cadence, ensuring speed is balanced with trust, security, privacy, and cost efficiency, and partnering with leaders across Rovo and product/platform teams to align roadmaps and foster an inclusive, high-accountability culture.

Atlassian offers flexible work arrangements—office, remote, or hybrid—with hiring in any country where we have a legal entity to support personal goals and family needs. You'll drive large, complex projects autonomously from technical design to launch. You will tackle complex architectural challenges, apply standards, and start using them on new projects. You'll lead code reviews and documentation, handle high-risk bug fixes, and model thorough, meaningful reviews while partnering across engineering teams on company-wide initiatives spanning multiple projects. You'll transfer your depth of knowledge from your current language to excel as a Java developer and mentor junior team members.

Atlassian offers flexible work options—office, home, or a mix—to give employees control over personal priorities. They can hire people in any country where Atlassian has a legal entity. In this role, you will regularly tackle the largest and most complex problems on the team, from technical design to launch, and provide technical leadership on high-impact projects. You will routinely address complex architecture challenges, apply architectural standards, and propagate them to new projects, while championing a high technical standard across the organization. You will mentor and grow the next generation of technical leaders, transfer your depth of knowledge, share best practices, and drive company-wide engineering initiatives.

- Atlassian supports flexible work options—office, remote, or hybrid—giving employees control to support family and personal goals. - The company hires in any country where it has a legal entity. - At the portfolio level, Atlassian sets strategic direction and drives a multi-year program across Security, Compliance, GRC, and Privacy, aligning company priorities with executive decisions. - They lead cross-functional delivery across Trust Engineering, Product, Platform, Legal, GRC, and IT, embedding secure-by-default engineering with automated security controls, AI-native SDLC, software supply chain defenses, and continuous vulnerability monitoring. - They enable regulated market access, turn ambiguity into clarity through decision forums, influence executive leadership with risk insights, establish scalable risk and compliance mechanisms, and measure impact with metrics on security posture, vulnerability reduction, audit readiness, and business value.

Atlassian lets employees choose where they work and hires in any country where they have a legal entity. Atlassian is building Service Collection and is hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and competitive advantage, sitting at the intersection of product strategy and the field as a mini GM; this is not a quota-carrying seller and not a conventional product marketing role, and you will collaborate across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. The primary focus is Transformation & Compete—helping customers move from fragmented or incumbent platforms to a modern Service Collection operating model—and Enterprise Trust & Compliance—translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy and proof. Responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks, dashboards, and templates that scale beyond one person or account. Requirements include significant experience in enterprise-focused product or related roles, ability to transform ambiguity into executable strategy, strong communication and influence, travel willingness, with preferred background in service management, security/compliance concepts, and field-to-product mechanisms; and key personal attributes such as being evidence-led, commercially literate, customer-grounded, low ego, and a system builder.

Atlassian supports flexible work locations and global hiring where they have a legal entity, enabling employees to balance family and personal goals. The company’s mission is to unleash the potential of every team, centered on the Teamwork Graph—a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They see the next frontier of AI-powered teamwork as personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—to deliver precise, relevant answers via Rovo Chat and the TWG CLI. They’re seeking a Principal Machine Learning Engineer (P60) to design and lead knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the TWG CLI, including building personal work context graphs, inference pipelines, schemas, permissions, and evaluation frameworks. The role includes integrating context into Rovo Chat, delivering low-latency, permission-safe graph APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work arrangements, allowing collaboration from home or global offices, and hires in any country with a legal entity. The Intern program combines hands-on technical training, dedicated mentorship, professional growth opportunities, and strong social connections to launch students into a successful Atlassian career. The role is located in the Seattle or San Francisco hub, and you must work from one of those hubs to qualify; it is not eligible for F1/J1 students and does not offer work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure to address business, product, security, and engineering challenges, spanning governance and compliance, recommendation and optimization, and ML development platforms. You will work with mentors on a focused project to develop skills while delivering measurable improvements, building and evaluating AI/ML solutions, contributing to generative AI projects, translating business needs into technical work, and communicating results and next steps.

Atlassian offers flexible work arrangements, allowing remote, in-office, or hybrid setups, and hires in any country with a legal entity; details are available at go.atlassian.com/distributed. The Grad++ program provides hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful and impactful career at Atlassian, with the Seattle hub as the role location. Applicants must be able to work from the Seattle hub; the position is not eligible for F1 or J1 visas and does not offer any work sponsorship. Atlassian Data Scientists partner with product, engineering, and business teams across domains to turn large-scale data into actionable decisions, designing experiments, building statistical frameworks, and developing machine learning models. They influence product roadmaps by defining metrics, analyzing user behavior, translating business questions into analytical approaches, communicating results to broad audiences, and collaborating cross-functionally with product managers, engineers, designers, data engineers, and other data scientists.

At Atlassian, employees can work from an office, from home, or a combination, and the company hires in any country where it has a legal entity to support family, personal goals, and other priorities. The Rovo Experiences & Growth organization builds customer-facing experiences that help people find, understand, and act on their knowledge, delivering Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions to integrate Rovo into daily work. The role leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences while shaping the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. It drives the development of reusable experience foundations that work across Atlassian products and third-party tools, and partners with product, design, data science, ML, and engineering leaders to define a roadmap of high-impact Rovo experiences that enable sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. The position also leads complex cross-organizational initiatives, standardizes how AI experiences are developed and deployed into scalable, composable, repeatable approaches, and mentors senior engineers to advance technical excellence, inclusive collaboration, and continuous learning.

Atlassian offers flexible work options—home, global offices, or both—and hires in any country where it has a legal entity, enabling distributed collaboration. The Grad++ program combines hands-on technical training, mentorship, professional growth opportunities, and social connections to prepare students for impactful careers. The role is based in Seattle, WA, and applicants must be willing to work there; it is not eligible for F1 or J1 visas and does not offer any work sponsorship. Responsibilities include building production-ready features for Jira, Confluence, and Trello, owning end-to-end projects from design through deployment, testing, and production monitoring. The role emphasizes Agile teamwork with product managers and designers, and involves innovating with AI/ML technologies, tackling complex distributed systems, data processing, and user experience optimization using data-driven validation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. The company is seeking a Senior Incident Response Analyst with strong technical skills, threat analysis expertise, and incident management background to monitor Atlassian’s corporate and cloud environments, hunt for compromises, protect data for Atlassian, customers, and partners, and lead security incidents with cross-functional collaboration. Day-to-day duties include acting as an escalation point for security incidents, analyzing log data from multiple sources, conducting post-incident reviews, participating in on-call rotations, delivering mitigations, advocating for security best practices, performing threat hunts, researching threat actor TTPs, building automation tools, maintaining IR playbooks and SOPs, leading evidence collection and forensics, and running tabletop exercises. Requirements include 5+ years in security domains, incident response or related experience, fluency in modern programming languages (Python, Ruby, Java, Go) or scripting, experience with AWS/GCP, being self-motivated and delivery-focused, strong collaboration skills, and specialization in areas like malware analysis, forensics, threat hunting, network analysis, or cloud endpoint analysis, plus contributions to the security community. The role sits within Atlassian’s Security Detection and Response organization—encompassing Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering—focused on improving security across the environment, products, and engineering practices and working with development teams to address issues.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you’ll work on Oracle Fusion Cloud and Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and other priorities, leading a group of application development and software engineers from design to launch while collaborating with teams and internal customers. You will lead run-the-business operations, partner across engineering teams on company-wide initiatives, maximize Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), ensure projects meet OKRs, and foster an automation mindset using RPA and low-code/no-code tools with exposure to AI/ML. You will build and maintain integrations between Fusion Cloud and a best-of-breed Finance SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), drive metrics to demonstrate outcomes, work with Internal Audit for SOX compliance, and collaborate with engineers, data scientists, and product managers to impact reliability and performance across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance with expertise in Oracle Fusion Cloud and related SaaS, experience leading Finance transformations, automation/PaaS/BRE tools (RPA, Workato, Camunda), exposure to Salesforce/Databricks a plus, familiarity with AI/ML use cases, comfort with 24x7 operations and incident-driven continuous improvement, and strong communication skills for senior stakeholders.

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

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

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

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

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

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

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

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

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to shape Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket by collaborating with teams throughout Atlassian. The role entails leading the strategic vision and conceptual design, applying systems thinking, and driving visual and interaction design while running design reviews and coaching other designers for cohesive AI experiences. You will lead design projects end-to-end, work with leadership and cross-functional teams to unify AI capabilities, tie outcomes to customer value with success metrics, and identify opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years in enterprise product design, experience delivering organization-wide design programs, end-to-end UX design, storytelling, balancing user needs with business/technical feasibility, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods.

Atlassian offers flexible work arrangements—office, home, or hybrid—with a preference for being in the San Francisco Bay Area or US West Coast, but hires are possible in any country where the company has a legal entity. As a Lead Design Technologist, you lead projects that affect multiple departments and deliver scalable design technology solutions that empower product builders across Atlassian, enabling PM/Eng/Design peers and driving AI-led prototyping and workflows. You’ll join the Design Technology team within the Core Design organization and report to the Senior Manager for Design Technology, building foundational tools, components, and AI-native product builder workflows used across Atlassian apps. The team is multidisciplinary, drawing from design, engineering, and product, and collaborates with product, engineering, and accessibility experts to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and cross-functional collaboration, mentoring less experienced designers and technologists, enhancing workflows with custom tooling and automation, solving complex design technology issues with AI/LLMs, showcasing advanced JS/framework and motion design skills, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.

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. They are looking for product-minded Principal Engineers who are hands-on senior individual contributors bridging deep technical craft and strong product judgment. The role owns customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering measurable outcomes. Responsibilities include making architecture and technical decisions aligned with user and business outcomes, using telemetry and metrics to guide design, and building AI-enabled experiences with LLMs for millions of users. Additional duties involve setting technical direction, partnering with product managers, designers, and platform teams, raising the engineering bar through mentoring, and driving high-leverage problems from prototype to scalable production systems.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll work on Rovo Chat, delivering bleeding-edge innovations and building agent harnesses that deliver a step-function improvement in quality, reliability, and latency, from design to launch. You’ll set the technical vision, architect scalable ML and evaluation systems, advance agentic capabilities across reasoning and planning, and close the loop between evaluation and product impact. You’ll lead cross-organizational initiatives, establish reusable methods and quality standards, and multiply impact through mentorship and technical leadership. The role requires a track record of shipping large-scale ML/AI systems (including LLM-powered products), hands-on production engineering skills, and strong leadership, judgment, and communication.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for designing, developing, and deploying ML systems that power search across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across regions and tenants to meet strict SLOs for availability, latency, and relevance. The position covers ML model development and serving (neural rankers, embeddings, reranking) integrated into serving infrastructure with Triton and PyTorch, plus collaboration with ML researchers to productionize models with robust monitoring and evaluation. It also includes designing agentic and Retrieval-Augmented Generation use cases, partnering with Rovo and AI platform teams for scalable retrieval, maintaining operational excellence and FinOps cost discipline, and working cross-functionally to define roadmaps, mentor juniors, and uphold engineering best practices.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The Product Counsel team partners with R&D and product leaders to enable rapid, responsible AI-enabled product innovation. They are seeking a creative, adaptable Director of Product Counsel to shape the team’s operating model and playbook for the AI era. Responsibilities include counseling product and engineering on AI, data governance, IP, and platform architectures; creating repeatable frameworks and guardrails; acting as the primary legal partner for product initiatives; and helping mature the function with new tools and async collaboration. Requirements include 8+ years of software product counseling (ideally B2B SaaS), a JD with a license to practice, experience in both law firm and in-house settings, strong generalist skills and comfort with ambiguity, plus a bonus for familiarity with Atlassian tools.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control to balance family and personal goals. Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate, with customers ranging from Fortune 500 companies to NASA and Deutsche Bank relying on them to deliver quality results. The Mid-Market sales team manages a portfolio of about 40 accounts (200-10,000 seats) with a $2-4M annual quota, driving net new growth and expansion while advocating for customers to feed product feedback for a better experience. The role leads cross-functional deal teams, builds executive relationships, uses MEDDPICC to qualify and win complex opportunities, and closes multithreaded, multi-solution opportunities through outcome-based selling. Success depends on collaborating with channel, marketing, product, and customer success, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends and competitors, and occasionally traveling for customer meetings and events.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - Its Future Org internship program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to prepare students for impactful careers. - The internship role is located in Seattle, WA or San Francisco, CA, and applicants must be willing to work there; F1/J1 sponsorship is not available. - The paid 12-week program runs May/June through August/September 2027, and interns will be part of a development team, making code changes with direct product impact from day one. - Interns will join a unified R&D team focused on cloud migration while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexibility in work location—office, remote, or a mix—and hires in any country where it has a legal entity. The Principal Machine Learning Engineer in the Confluence AI organization will be a hands-on role that shapes AI-powered experiences across Confluence and works with product, platform, and partner teams to turn advances in ML into scalable, customer-facing capabilities. The role spans the full AI product development lifecycle, from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives, building production-grade ML systems, improving model behavior and retrieval, and driving cross-functional initiatives with a focus on reliability, safety, latency, and user experience. The position also involves mentoring engineers, raising engineering standards, and laying foundations to enable deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassians can choose where they work—office, from home, or a combination. This flexibility helps them support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. They’re seeking a senior technical leader who can shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences, and requires tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

Atlassians can choose where they work—in an office, from home, or a combination—giving them more control over family, personal goals, and priorities. Atlassian can hire people in any country where they have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that improve quality, reliability, and latency. You’ll have the opportunity to lead other engineers through technical design to launch and collaborate with other teams and internal customers to set expectations and communicate results, with the role being pivotal in realizing AI’s transformative potential across offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for any team to find, understand, and act on their knowledge, with the product surface growing rapidly and showing 10x growth over the last year.

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.

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 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.

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

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

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

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

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

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

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

At Atlassian, employees can work from office, home, or a mix, and the company hires in any country where it has a legal entity. The role is Senior Principal Technical Program Manager, a senior individual-contributor position with portfolio scope, reporting to the Head of Program Management for Enterprise and Emerging and part of the Program Management Technical craft. You will shape and deliver top-priority, ambiguous programs across multiple teams—Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation—to achieve measurable customer and business outcomes. Your responsibilities include setting portfolio direction, leading end-to-end cross-functional delivery, turning ambiguity into clarity, driving launches and transformations, influencing senior leaders, establishing scalable governance and readiness mechanisms, and mentoring program managers. In the first 12 months, success means delivering high-impact programs with clear customer/revenue impact, improving executive visibility and decision speed, introducing a reusable program-management mechanism, and building durable partnerships with senior leaders.

Atlassian offers flexible work locations (office, home, or a blend) and hires globally where it has a legal entity. They’re seeking a Product Manager for AI-powered conversational experiences to lead Rovo Chat. The role is part of the Central AI team and is responsible for the vision, strategy, and execution to drive adoption and impact across Atlassian’s product suite. Responsibilities include building intelligent chat experiences that access knowledge from Jira, Confluence, Bitbucket and third-party sources, as well as cross-functional delivery and program-level execution. The role also emphasizes defining metrics for chat quality and adoption and championing safe, transparent, and inclusive AI practices.

- Atlassian lets employees work from office, home, or a hybrid arrangement, giving them more control over family and personal priorities, and the company hires in any country where it has a legal entity. - Dev Infra builds the tools, platforms, and infrastructure that every Atlassian engineer uses to ship software and also stress-tests the same class of developer tools Atlassian sells. - They are hiring a Senior Principal Engineer for the AI Foundations team, the group responsible for making AI work well across the engineering lifecycle—how it’s measured, the context it’s given, and the compute it runs on. - The role involves setting the technical vision for AI across the lifecycle, staying hands-on, prototyping the hardest parts, leading by doing, building foundational AI systems, and delivering real signal to engineers and leaders while partnering with engineering and product teams to shape internal tools and customer-facing AI capabilities, including decisions to buy, build, or build something purpose-built. - It also includes mentoring senior engineers, aligning principals across the organization, and raising the ceiling for what the team believes is possible.