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Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where they have a legal entity. They are building an observability layer for AI-assisted software development to measure how much of a team's code is written by AI coding agents and to attribute every line back to its source. You’ll own major parts of a cross-platform endpoint agent end-to-end—architecture, implementation, and real-world deployment on developer machines. Your responsibilities include building core systems to detect and attribute AI-generated code at the line level across real Git workflows, designing pipelines to capture/classify/store and ship developer and agent activity, and integrating with coding agents via editor/CLI hooks while working with Git internals to avoid interrupting developers. They’re seeking strong systems engineers with backend/OS internals or developer-infra experience, comfortable with concurrent, low-level software (Go is used but not required), who are high-agency, product-focused, and excited about developer tools, with bonuses for Git internals, dev-ops, endpoint/monitoring agents, SQLite or embedded storage, or cross-platform native development.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity to support employees’ family and personal goals. The Central AI Org is dedicated to driving AI innovation across Atlassian products, building robust AI infrastructure, and establishing a centralized Search, Q&A, and Conversational AI system that integrates with all products while exploring solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by delivering productive, reliable tools for developing, deploying, measuring, and operating AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving end-to-end, from distributed infrastructure to deep low-level optimizations, and will architect scalable infrastructure, optimize latency and throughput, build high-concurrency serving for billions of requests, benchmark and accelerate inference engines, and establish CI/CD for model deployment. On day one, candidates should have 5+ years of software engineering, 2+ years of system performance optimization, deep low-level systems programming (C/C++ or Rust), experience with large-scale high-concurrency serving and GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM), with strong system optimization skills; desirable extras include low-level and algorithmic inference optimizations, testing/benchmarking/reliability experience, and CI/CD infrastructure for inference.

Atlassian lets employees work from the office, home, or a mix, and hires people in any country where it has a legal entity. As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by delivering cutting-edge innovations, leading other engineers from technical design to launch, and collaborating with other teams and internal customers. You’ll tackle open-ended problems, set the technical vision for measuring and improving Rovo Chat, and build production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, and quality signals). You’ll advance agentic capabilities, close the loop between evaluation and product impact, and make high-leverage decisions across model choice, prompting, data strategy, system architecture, inference, latency, safety, and cost while leading cross-organizational initiatives and establishing reusable methods and standards. The ideal candidate has a proven track record shipping large-scale ML/AI systems with measurable impact, deep experience with LLM-powered and agentic products, strong production engineering skills, and principal-level leadership, communication, and mentorship abilities.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over their personal goals and priorities. The role sits in the Agentic AI Integrations team, focusing on the Rovo MCP Server and Agent-to-Agent integrations while leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance Atlassian’s AI ecosystem. The position favors those excited about bleeding-edge AI tech, who can move from prototyping to scalable enterprise-grade products used by thousands of developers and enterprises, with a systems-thinking mindset emphasizing security, scalability, reliability, and maintainability. Key responsibilities include building and mentoring a software engineering team, delivering foundational components for multi-agent systems, adopting protocols like MCP and A2A, collaborating cross-functionally, ensuring high-reliability (4 9s SLA) and cost/latency optimization, and representing Atlassian in AI interoperability groups. Requirements include 8-10+ years in software development with at least 4+ years of people management, hands-on AI/ML platform engineering or agent frameworks experience, proficiency in Python, TypeScript, or Go, and experience with high-scale distributed systems, vector databases, and observability pipelines.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where they have a legal entity, helping employees support personal goals and priorities. The role described is Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, owning technically complex, high-impact outcomes from problem definition through production, applying deep expertise in agent infrastructure and distributed systems to shape architecture and direction, while balancing security, isolation, performance, scalability, portability, cost, and developer experience, and working closely with code and operations and across geographies while mentoring others. Success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader leverage across Atlassian. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities, and owning end-to-end outcomes for cross-team initiatives from design to adoption and measurable results. Additional duties encompass advancing portable cloud-native execution on GCP and AWS, promoting operational excellence for a tier-0 platform (reliability, security, privacy, incident learning, performance, cost), improving developer experience through self-service APIs and clear platform contracts, and setting direction via proposals while mentoring engineers to grow an inclusive, high-performing team.

SMB Solution Sales Executives focus on helping SMB customers succeed in their Atlassian cloud journey by showing how Jira Service Management can meet their goals and acting as champions for customers at scale. They coordinate with Product specialists and Marketing, provide feedback to product and engineering teams, and help optimize the overall customer experience. They follow up on qualified inbound leads (MQLs, trial signups, demo requests) and drive outbound prospecting to generate net-new and expansion pipeline, while understanding the customer buyer journey and optimizing the Atlassian Sales Model. They demonstrate the value of Jira Service Management, identify opportunities to land new customers and upsell existing customers to drive revenue growth, and assist customers in building a compelling business case to demonstrate ROI of Atlassian products and services in a consultative sales motion. They develop and execute territory/account plans to meet or exceed quota and stay updated on industry trends, market dynamics, and competitor activities in the service management space.

SMB Solution Sales Executives help customers succeed in their Atlassian cloud journey, focusing on Jira Service Management (JSM) and acting as champions by feeding feedback to product/engineering and coordinating with Product specialists and Marketing. They are customer-focused, creative, and able to think at scale and organize resources to meet SMB needs, while understanding the buyer journey to optimize the Atlassian Sales Model. Their responsibilities include following up on qualified inbound leads (MQLs, trial signups, demo requests) for JSM and driving outbound prospecting to generate net new and expansion pipeline. They demonstrate the value of JSM, identify opportunities to land new customers and upsell existing ones to drive revenue growth and maximize SMB customer value, and they qualify customer needs in a consultative sales motion while helping build compelling business cases for Atlassian products and services. They develop and execute territory/account plans to meet or exceed quota and stay updated on industry trends, market dynamics, and competitor activities in the service management space.

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 offers flexible work locations (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Agentic AI Integrations team is responsible for Rovo MCP Server, agent-to-agent integrations, and leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to integrate AI across the Atlassian ecosystem. The team pursues bleeding-edge AI technology, moving from prototyping to building scalable enterprise-grade AI products used by thousands of developers and enterprise users. They focus on ML performance, reliability, and systems—tuning MCP servers for latency and efficiency, enabling dynamic tool discovery and context optimization, observability and automated evaluations, semantic retrieval, and developing accessible frontend experiences with React/TypeScript, reusable components, and robust APIs. They aim for end-to-end reliability and security, implementing semantic search, quality programs, CI/CD evaluations, and enterprise security measures such as OAuth 2.1, tenant isolation, audit logs, prompt-injection defenses, and confirmation flows for high-impact actions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They are seeking a Pre-Sales Solutions Engineer for the enterprise business who is passionate about product expertise, solving complex customer problems, and helping close enterprise deals. The team emphasizes value selling, collaboration, and pursuing enterprise opportunities in cloud and AI collaboration solutions. In the role, you will partner with account teams and channel partners, conduct customer discovery, map customer needs to Atlassian products, and lead value-based demonstrations for multiple stakeholders while guiding technical requirements. You will also build strong partnerships with account executives, track pipeline, collect product feedback and competitive intelligence, advocate for internal development, and continually enhance pre-sales and product knowledge.

Atlassian supports flexible work arrangements—office, home, or a mix—across a distributed workforce, and hires in any country where it has a legal entity, with virtual interviews and onboarding. The Principal Enterprise Delivery Manager serves as the primary stakeholder, acting as a strategic advisor and technical consultant while leading delivery and governance of large-scale cloud migrations. You will collaborate with cross-functional teams—Sales, Solutions, Support, Product Management, Channel Partners, and Engineering—to navigate architectural decisions, risk mitigation, and adoption planning, aligning technical execution with business outcomes and cloud features including AI. Responsibilities include migration strategy, risk management, technical architecture involving APIs, webhooks, and automation components, trusted advisor to senior leadership, delivery excellence with disciplined governance, accountability, stakeholder communications, escalation management, and team leadership. This role demands a data-driven, consultative mindset and proven experience in shaping customer cloud strategies and adoption, suitable for someone who thrives at the intersection of strategy, data, and execution to guide Atlassian’s most strategic customers to Cloud.

At Atlassian, employees can work from an office, home, or a combination, and the company hires in any country where it has a legal entity, offering tools like Jira Software, Confluence, and Jira Service Management to support teams worldwide. The Mid-Market sales team handles a portfolio of mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, sustaining customer relationships, and meeting revenue targets while advocating for customer feedback to improve products. In this role you’ll own about 40 accounts (200-10,000 seats) with a $2-4M annual quota, lead cross-functional deal teams as the quarterback, and build executive relationships across IT, business, sales, and marketing. You will qualify opportunities and close complex deals using MEDDPICC, pursuing multithreaded, multi-solution opportunities with outcome-based selling and stakeholder alignment. Collaboration with channel, marketing, product, and customer success is essential to maintain high customer satisfaction, along with lead qualification, forecasting accuracy, industry trend awareness, and occasional travel for meetings and events.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where it has a legal entity. They are seeking a Pre-Sales Solutions Engineer for their enterprise business who is passionate about being a product expert in the sales cycle, solving enterprise customers’ hardest business problems with Atlassian products and solutions, and helping close enterprise deals. The Presales Enterprise Solution Engineering team focuses on value selling, teamwork, celebrating wins, and sharing knowledge while targeting enterprise white space in cloud and AI collaboration. In this role you will partner with account teams and channel partners, participate in customer discovery, map customer problems to Atlassian products, identify cross-product opportunities, and lead compelling value-based demonstrations to gain buy-in from various stakeholders. You will understand customers’ technical needs, build strong partnerships with aligned account executives, document product feedback for internal advocacy, and continuously learn to refine your pre-sales knowledge and processes.

Atlassian supports flexible work arrangements and hires in any country with a legal entity. The role is Senior Machine Learning Systems Engineer on the Search Platform, responsible for 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—retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML delivery from experimentation through production across multiple regions and tenants, aiming for high-throughput, low-latency systems with strict SLOs for availability, latency, and relevance. Responsibilities include building production ML models (neural rankers, embeddings, rerankers), integrating with serving infrastructure via Triton and PyTorch, collaborating with researchers to translate experiments into robust, monitored production systems; plus agentic/RAG retrieval solutions with personalized indexes and multi-step workflows in partnership with Rovo and AI platform teams. The role emphasizes operational excellence and cost discipline through observability, incident response, FinOps-driven cost optimization, on-call readiness, and capacity planning, along with cross-functional collaboration to define roadmaps, OKRs, design reviews, and best practices.

Atlassian supports flexible work arrangements—office, remote, or hybrid—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 5-8 person US-based team. Responsibilities include improving the incident response program through playbooks, metrics, exercises, post-incident reviews, and better tooling, while driving adoption of investigative AI tools and automation to speed triage and maintain consistency without compromising security. Requirements include proven leadership of multi-stakeholder security incidents in SaaS/cloud/enterprise settings, strong executive communication, experience with metrics-driven program design and tooling, hands-on investigation workflows, and experience deploying investigative AI in security operations, plus comfort with regulated environments. The team culture emphasizes calm execution, blameless review, continuous learning, and cross-region trust-building, presenting a rare opportunity to shape major incidents, mature security operations, and advance AI-enabled security at scale.

Atlassian offers flexible work options and hires globally in any country where it has a legal entity. The role centers on Expert Product Selling, acting as a knowledge leader in ITSM and ESM trends to inform sales strategies and the positioning of Jira Service Management within Atlassian's platform. You will own end-to-end JSM sales motions, leading the full sales cycle from prospecting and discovery through solution design, business case, negotiations, and close in your territory. Responsibilities include sales strategy development with AEs, AMs, and SDRs to drive net new revenue and expansion; customer engagement and value selling with ROI cases tied to outcomes; and leading competitive campaigns and cloud migrations from Data Center to Cloud. The role also requires cross-functional collaboration with Solution Engineers, Customer Success, Marketing, and Partners; forecasting and pipeline management using MEDDPICC; and providing a field feedback loop to shape JSM roadmap and go-to-market strategy.

Atlassian offers flexible work locations—office, home, or hybrid—with a preference for 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 high-quality, scalable design technology solutions that empower all product builders and drive innovation in prototyping, motion, and AI-led design workflows. You’ll join the Design Technology team within Core Design, reporting to the Senior Manager, building foundational tools, components, and AI-native workflows, and collaborating with product, engineering, and accessibility experts to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering across multiple workstreams, championing rapid prototyping, user testing, and cross-functional collaboration, mentoring less experienced designers and technologists, and identifying opportunities to enhance workflows through custom tooling and automation, while solving complex design-tech issues and leveraging AI/LLMs. The role requires advanced skills in JS frameworks, prototyping, and motion design, and involves co-creating sense-making artifacts and driving adoption of best practices and continuous improvement.

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. The Principal Machine Learning Systems Engineer on the Search Platform sets the technical direction for search infrastructure powering Rovo, Jira, Confluence, and the broader Atlassian AI platform, influencing across teams without relying on positional authority. They define multi-year roadmaps for search serving, vector infrastructure, and agentic retrieval, identifying architectural inflection points like semantic search and retrieval-for-agents and building consensus through technical credibility and clear tradeoffs. They lead without authority to drive high-impact cross-team initiatives, framing problems, co-authoring shared strategies, and running forums where best ideas win on merit across the Search Platform, ML Platform, AI Gateway, and Rovo product teams. They own the agentic retrieval architecture, anticipate stress from use cases, set platform scalability and FinOps-oriented decisions (such as vector cluster sizing and embedding caching) for cost savings without sacrificing SLOs, and mentor engineers toward principal-level impact.

Atlassian supports flexible work locations—office, remote, or hybrid—so employees can balance family, personal goals, and other priorities. They hire in any country where they have a legal entity. Data is central: billions of events are ingested monthly into analytics platforms, with many teams relying on data platforms to drive decisions. Atlassian is seeking an Engineering Leader to join Data Engineering to build data products that power GTM (Marketing and Sales) strategy and key organizational decisions, and to lead a world-class data engineering practice. The role involves shaping technical strategy and data architecture, developing data products for reporting, analytics, data science, machine learning, and AI workloads, and partnering with IT, data platforms, product engineering, GTM stakeholders, analytics teams, and data scientists to support multiple programs.

At Atlassian, you can work in an office, from home, or a combination, and the company hires in every country where it has a legal entity. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, partnering with customers and cross-functional teams to deliver AI-powered solutions and drive business impact. You’ll lead the design, development, and deployment of AI/ML solutions, architect robust integrations with APIs and microservices, and steer data-driven product direction. The role emphasizes championing AI-augmented workflow automation, overseeing end-to-end production deployments, and navigating AI risk, data privacy, and regulatory compliance. You’ll also mentor junior engineers and communicate complex technical concepts to both technical and non-technical stakeholders, aligning technical progress with clear business objectives.

Atlassians can choose to work in an office, from home, or a combination, giving them flexibility to support family and personal goals, and Atlassian hires in any country where it has a legal entity. The Principal Enterprise Security Engineer is the senior technical authority across corporate architecture, SaaS platforms, and workforce technologies, responsible for the long-term vision, design controls, and paved paths that safeguard assets while enabling business agility at scale. Key responsibilities include Strategic Leadership: defining and maintaining the end-to-end enterprise security architecture blueprint (endpoint, identity, network, and data), leading architectural reviews of major initiatives (AI adoption, zero trust modernization, vendor onboarding), and establishing architectural controls, paved paths, and periodic maturity assessments. The role also functions as a Technical SME, providing expert guidance on security practices and technologies to engineering teams, and in Architecture & Design, reviewing platform and service architectures, offering risk-based recommendations, and enabling safe, rapid change by automating control deployment and drift detection via IaC/PaC, plus supporting CI/CD for policy/config rollouts. Collaboration involves working with security teams, engineering partners, product leaders, and other principal architects to drive large-scale security initiatives, serving as the architecture liaison between Corporate Security and Product Security to unify security strategy across enterprise and customer-facing environments, and mentoring engineers across multiple seniority levels.

Atlassian offers flexibility in where you work—office, home, or a blend—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. As a Senior Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions across industries. The FDE team partners with top organizations to help them leverage Atlassian’s AI capabilities, collaborating with product, engineering, and design to grow technical and domain expertise and drive tangible business outcomes. Your responsibilities include leading the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, building robust integrations with Python or JavaScript, guiding customers through last-mile challenges, enabling AI-augmented workflow automation, and overseeing production deployment with ongoing evaluation and compliance. You’ll mentor other engineers, communicate complex concepts to technical and non-technical stakeholders, and align technical solutions with business objectives to set a clear vision and measurable results.

At Atlassian, employees can choose office, home, or hybrid work, giving them flexibility to balance family, personal goals, and priorities, and we hire in every country where we have a legal entity. Our Global Strategic Alliances team oversees Atlassian’s most strategic Global System Integrator partnerships, owning the investment plan and strategic framework while regional teams manage relationships, pipeline, and execution, in collaboration with Partner Program, Solutions, Marketing, Enablement, and Field Sales. This is an individual-contributor role that leads through influence, managing Accenture as a global 360° relationship to embed a dedicated Atlassian business unit within Accenture for scalable joint growth and customer value. You’ll be the global lead for the Accenture partnership—developing strategy and joint business plans, governing investments, running executive reviews, aligning regional managers, and building repeatable co-sell plays and a global pipeline. The ideal candidate has substantial global alliance experience in enterprise software or services, a proven track record of meeting revenue targets, end-to-end partnership management, cross-functional leadership, strong executive presence with senior partners, and, ideally, direct Accenture or Tier-1 GSI exposure plus related strategy consulting or enterprise transformation experience.

Atlassian supports flexible work locations—office, home, or a combination—and hires people in every country where they have a legal entity to better accommodate personal priorities. Atlassian is seeking a Senior Manager to join the Financial Planning & Analysis (FP&A) team, overseeing the consolidation and reporting of $1B in quarterly spend and driving finance optimization while partnering with FP&A and finance leaders, with a particular focus on FP&A Commercial Finance planning and monthly/quarterly forecasting. Responsibilities include leading and shaping the R&D investment and finance strategy to enable differentiated, agile innovation in the AI era, guiding capital allocation with data-driven insight and predictive scenario models, owning FP&A Commercial Finance planning processes (monthly outlooks, rolling forecasts, long-range planning), building finance principles and controls to operationalize annual and long-term plans, acting as a liaison between FP&A Commercial Finance and other CFO functions to manage end-of-period calendars, delivering succinct monthly/quarterly reporting to leaders, and driving end-to-end finance initiatives and cross-functional spend optimization, including work with newly acquired entities such as Browser Company of New York and DX. On day one, candidates should bring both qualitative and quantitative strengths: ability to prioritize in a fast-paced environment with multiple stakeholders' budgets, excellent critical thinking, organization and collaboration skills, attention to detail and follow-through, teamwork with self-starting ability, strong work ethic, concise communication to non-finance partners, comfort with senior leaders and challenging the status quo when appropriate, plus a minimum of 7 years in FP&A (at least 3 supporting an R&D organization), experience with planning and budgeting, forecasting and P&L interpretation and reporting, preference for software/Cloud/SaaS sectors, required Anaplan or other enterprise planning tools, advanced financial modeling, solid Excel and data warehousing/finance systems knowledge, and a quantitative bachelor’s degree (MBA and/or CPA a plus). The FP&A team at Atlassian is highly visible, analytics-driven, and cross-functional, valuing decision-making, openness, and transparency as they support growth; you’ll join a passionate team that collaborates with business leaders across the company and with customers.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. The Rovo Chat & GenAI Platform team sits within the Rovo Chat and TWG Group of the Atlassian Rovo Intelligence & Experience Organization and collaborates across Growth, GTM, Product, Finance, and Sales to support Rovo Chat with generative AI, ML infrastructure, and modeling applications; the team includes ML and systems engineers and emphasizes collaboration and business impact. As engineering manager, you’ll work with product managers and various teams to manage the end-to-end ML lifecycle—from data collection and preprocessing to deployment, evaluation, and monitoring. You’ll research novel ML techniques to improve recommendations and other AI/ML models, mentor team members on best practices, and hire and retain top talent while fostering a culture of innovation and excellence. Required qualifications include a master’s or PhD in a quantitative field (or relevant experience), 5+ years of ML engineering team management at scale, experience building scalable ML models in business applications, ability to communicate data science concepts to diverse audiences, and an Agile mindset with a focus on practicality and delivering value.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity, serving over 300,000 customers like NASA, IBM, HubSpot, Samsung, and Coca-Cola, with a goal to unleash every team’s potential through software, deliver exceptional customer impact, and drive ongoing revenue growth. Our unique value is “play as a team,” supporting each other, celebrating wins, and sharing knowledge, with employees working with Atlassian—not for Atlassian—and strong earning potential for sales amid a vast enterprise market and steady customer preference for our products. We are leading the responsible integration of artificial intelligence into our cloud products, migrating customers to the cloud, building trust through cost transparency, moving faster through collaboration, and accelerating customers’ business outcomes with a strong sales strategy. The role focuses on steering a portfolio of high-value, strategic accounts, understanding their long-term goals, and developing customized growth strategies while nurturing relationships with key decision-makers and collaborating with internal teams and partners to deliver aligned solutions. Responsibilities include developing and implementing named account or territory plans, serving as the main contact or escalation point for designated accounts, leading complex negotiations, conducting market research and forecasting, maintaining deep product knowledge, traveling as needed, and mentoring junior sales teammates.

Atlassian emphasizes developers as the core audience and is evolving its AI-native SDLC through DevAI, with an ecosystem designed to enhance every step of the developers’ productivity cycle and products like code reviewers, code generation, agentic engineering, and spec-driven development. The company’s vision is to transform software development with ambitious plans to deeply integrate AI into the developer experience. The role involves innovating core intelligence solutions within DevAI, including LLM integration, prompt engineering, and end-to-end AI features, in collaboration with a diverse team of scientists, engineers, and partner groups. General responsibilities cover strategic leadership, building and developing a high-performing team, stakeholder management, performance management, and providing technical leadership and mentoring to ensure code quality and excellence. Daily duties include overseeing end-to-end AI/ML initiatives, balancing resources across priorities, optimizing processes, and proactively managing risks to sustain team momentum.

- 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.

- Atlassian offers flexible work options—office, remote, or a mix—and hires globally in countries where they have a legal entity. - Atlassian is a publicly traded tech company expanding its tax function and is seeking a Tax Senior to join the US Income Tax team, reporting to the US Tax Manager. - The role assists with the tax provision, compliance, and other tax matters, and helps prepare the quarterly and annual US federal and state income tax provision and audited financial statements for a publicly traded corporation. - Responsibilities include gathering information for US tax returns prepared by external advisors, conducting tax research, and using technology (including AI) to improve processes, with analysis and recommendations for the company. - The position also involves communicating with federal or state tax authorities to resolve tax matters and supporting employees at all levels within a global organization.

- Atlassian supports flexible work options (office, home, or hybrid) and hires people in any country where the company has a legal entity. - The role is Principal ML System Engineer in the Rovo & AI Engineering org, focusing on Rovo Chat and delivering bleeding-edge innovations and agent harnesses to significantly improve quality, reliability, and latency. - You will lead other engineers through technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results. - The role is pivotal in realizing AI’s transformative potential across Atlassian’s offerings. - The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on knowledge, with 10x growth in the product surface over the past year.