The Ampin App
deep insights into the Atlassian community

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. They’re seeking product-minded Principal Engineers who are hands-on senior individual contributors at the seam of deep technical craft and strong product judgment. The role owns customer-facing products end-to-end across the full stack, shaping what gets built and delivering AI-native, agentic experiences used by teams globally. Responsibilities include end-to-end feature ownership across React/TypeScript front ends, backend services, and APIs; setting success metrics, instrumenting and monitoring, and adjusting design based on data; and setting technical direction while partnering with product managers, designers, and platform teams. The position also emphasizes raising the engineering bar through code reviews and mentoring, finding high-leverage problems in ambiguous spaces, prototyping quickly, and delivering production-grade quality at scale.

Atlassian supports a distributed-first culture with flexible work options and virtual interviews/onboarding. The Solution Sales organization consists of specialized sellers driving enterprise-wide, multi-product transformations; as a Teamwork Collection Solution Sales Executive, you focus on Jira, Confluence, Loom, and Rovo and partner across the business to drive adoption beyond IT. You will lead end-to-end complex deals, driving multi-product expansions, Cloud Enterprise upgrades, and broad collaboration deployments. You will co-sell with AEs, SEs, EDO, and CS, positioning TWC as the single system of work and competing against fragmented tools. You’ll champion AI-native, asynchronous collaboration, apply structured methodologies (MEDDPICC, Command of the Message), and work with Atlassian Solution Partners and GSIs to accelerate migrations and expand deployments.

Atlassians can choose where to work—office, home, or a hybrid arrangement—to better support their family and personal goals. Atlassian hires people in any country where it maintains a legal entity, enabling global recruitment. The role involves acting as a knowledge leader on Service Management trends to inform sales strategies and Jira Service Management positioning. It includes collaborating with sales teams to develop and execute strategies that drive revenue growth and engaging with customers to understand their needs and offer value-based solutions. It also entails cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on strategies and explore co-selling opportunities.

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

Atlassian supports flexible work options (office, remote, or hybrid) and hires people in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful career at Atlassian. The paid internship runs for 12 weeks between May/June and August/September 2027 and is a hybrid role in Seattle, WA or San Francisco, CA; applicants must be willing to work in those locations and this program does not offer F1/J1 eligibility or sponsorship. From day one, interns join a development team, are trusted to change code that impacts products, and gain deep experience in full lifecycle product development under senior engineers. The Engineering team focuses on moving customers to the cloud while continuing to deliver value across Jira, Confluence, Trello, and Bitbucket as part of a unified R&D effort.

At Atlassian, employees can choose to work in an office, from home, or a hybrid mix, and the company hires people in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful and impactful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA, with no eligibility for F1 or J1 visas and no sponsorship offered. It runs for 12 weeks (May/June–August/September 2027), and from day one interns are part of the development team, reporting to Senior Engineers, contributing code that directly impacts products, and gaining deep knowledge of full lifecycle product development. The program sits within a unified R&D team that focuses on cloud migration while delivering value across core products like Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, giving employees control to support family and personal goals. The role is Senior Principal Forward Deployed Engineer (FDE) focused on applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. The FDE team partners with top organizations across industries to leverage Atlassian’s AI capabilities, while you grow technical and domain expertise and make a tangible business impact. Responsibilities include coding across the product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, architecting robust integrations with Python/JavaScript and APIs/microservices, influencing product direction with customer feedback, promoting AI-augmented workflow automation, overseeing end-to-end production deployment with monitoring and improvement, and navigating AI risk, data privacy (GDPR), and regulatory requirements, plus mentoring others. You’ll also communicate complex technical concepts clearly to technical and non-technical stakeholders and align technical solutions with business objectives to deliver measurable results.

The Sales and Success Strategy team develops pragmatic, customer-centric go-to-market strategies that adapt to changing market dynamics and drive sustainable, profitable growth through data-driven insights and optimized sales processes to enhance customer experiences and increase market share. Success is measured by profitability, market share, and customer delight. Atlassian is seeking a Principal Strategist to develop GTM strategy across initiatives, evaluating opportunities with qualitative and quantitative methods to fuel P&L growth for customers. The role involves developing actionable GTM strategies from ideation to design, conducting internal and market due diligence, using frameworks, and creating scalable options to meet fiscal-year goals and long-term targets, while thriving as an individual contributor. Responsibilities include analyzing complex information, identifying opportunities, testing new ideas, performing financial and market analysis, and leading multi-layered stakeholder management to influence across all levels and marshal cross-functional resources.

- The Sales and Success Strategy team creates pragmatic, customer-centric go-to-market strategies that leverage data-driven insights to drive sustainable growth, optimize the sales process, and increase market share and customer delight. - Atlassian is seeking a Principal Strategist to develop GTM strategies across initiatives and design opportunities that fuel P&L growth for customers and scale value across the organization. - The role partners closely with cross-functional executives and stakeholders, thrives in a fast-paced SaaS environment, and can operate independently while evaluating challenges from multiple angles. - Responsibilities include turning ideas into actionable GTM plans, conducting internal and market due diligence, applying relevant frameworks, and delivering scalable options to meet fiscal year goals and long-term targets, supported by financial and market analysis. - It also requires proactive opportunity identification, willingness to test new ideas, the ability to synthesize insights for executive leadership, and strong multi-layered stakeholder management to build trust and marshal resources.

The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies that adapt to market dynamics, use data-driven insights to uncover growth opportunities, optimize the sales process, and increase market share while delivering rich customer experiences; success is measured by profitability, market share, and customer delight. Atlassian is seeking a Principal Strategist to develop GTM strategy across initiatives, using qualitative and quantitative methods to evaluate opportunities and design initiatives that drive P&L growth from customers. This role will deliver value and delight at scale to customers, partners, and across Atlassian, while creating outcomes that unlock the Atlassian System of Work and establish the long-term direction of the business through cross-functional collaboration with executives and stakeholders. The ideal candidate is an independent, highly-capable individual contributor who thrives in a fast-paced environment, can move seamlessly from high-level strategy to detailed action, and has a strong understanding of SaaS business models; responsibilities include developing actionable GTM strategies from ideation to design with internal and market due diligence, frameworks, and scalable options to meet fiscal year goals and longer-term targets. They will analyze complex information, test novel approaches, perform financial and market analyses, and lead multi-layered stakeholder management across all levels from front lines to the C-suite through clear communication, building trust and cross-functional support to accomplish goals.

At Atlassian, you can choose where you work—office, remote, or a hybrid—and the company hires in any country where it has a legal entity, giving you flexibility to support family and personal goals. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and work with product, engineering, and design to grow your technical and domain expertise. The FDE team partners with top organizations to help them leverage Atlassian’s AI capabilities to solve real-world problems, offering a high-visibility, high-impact role in fast-paced, ambiguous environments. You’ll lead the design, development, and deployment of AI/ML-powered solutions, architect integrations using Python or JavaScript, and drive data-driven insights while championing AI-augmented workflow automation and end-to-end production deployment. You’ll also navigate risk and compliance (AI risk assessment, GDPR, regulatory frameworks), mentor junior engineers, and communicate complex concepts to both technical and non-technical stakeholders while aligning solutions with business objectives and measurable results.

Atlassian supports flexible work arrangements and hires globally in countries where it has a legal entity. They are looking for a Sales Leader to oversee a team of Teamwork Collection Specialists, building enterprise-focused sales strategies for the Teamwork Collection that leverage Loom, Rovo, Jira, and Confluence to meet aggressive revenue targets. The role collaborates with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures, drive value propositions, and boost customer satisfaction, while also recruiting and developing top sales talent and maintaining relationships with Enterprise and Strategic clients. Responsibilities include leading the team to achieve sales targets in Enterprise and Strategic segments, developing strategic plans, mentoring, setting metrics, onboarding new hires, analyzing sales data, and providing regular updates to senior management. A working knowledge of organizational teamwork workflows is preferred, ideally with experience in Software Delivery and an understanding of AI's emerging role in the Enterprise and Strategic segments.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - The company is seeking a Sales Leader to oversee a team of Teamwork Collection Specialists focused on enterprise and strategic customers, developing sales strategies that highlight Loom, Rovo, Jira, and Confluence to drive the Teamwork Collection and meet aggressive revenue targets. - The role involves collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. - Responsibilities include recruiting and developing top sales talent, mentoring the team, setting and tracking performance goals, onboarding new hires, analyzing sales data and market trends, and reporting progress to senior management. - Additional duties include building relationships with peer leaders across Core and complementary teams, staying informed on industry trends and competitor activity in Enterprise/Strategic segments, and applying knowledge of organizational teamwork workflows with a focus on Software Delivery and the evolving role of AI.

Atlassian offers flexible work options (office, home, or a mix) and hires globally wherever it has a legal entity. They are seeking a Sales Leader for the Teamwork Collection to develop and implement enterprise-focused sales strategies that showcase Teamwork Collection, Loom, and Rovo alongside Jira and Confluence to meet aggressive revenue targets. The role involves collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures and elevate customer value and satisfaction. Responsibilities include recruiting and mentoring a high-performance sales team, setting goals, onboarding new members, analyzing sales data and market trends, and providing regular performance feedback and updates to senior management. The position also entails maintaining relationships with peer leaders, staying informed about industry and competitor dynamics in Enterprise/Strategic segments, and possessing working knowledge of organizational teamwork workflows, ideally with an emphasis on Software Delivery and the emergent role of AI in these segments.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They are hiring a Sales Leader to oversee a team of Teamwork Collection Specialists responsible for enterprise-focused sales strategies that highlight the Teamwork Collection and leverage Loom, Rovo, Jira, and Confluence to meet aggressive revenue targets. The role collaborates with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, elevate value propositions, and drive customer satisfaction, while recruiting and developing top sales talent and cultivating relationships with Enterprise and Strategic clients. Responsibilities include leading the team to achieve sales targets in the Enterprise and Strategic segments, creating strategic plans to expand market share, mentoring and coaching the team, setting performance goals, onboarding new hires, and analyzing sales data and market trends to identify opportunities. Additional duties involve maintaining relationships with peer leaders, providing regular updates to senior management, staying informed about industry trends and competitors, and applying knowledge of organizational teamwork workflows with a focus on Software Delivery and the emerging role of AI in the Enterprise and Strategic segments.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The Senior Principal Forward Deployed Engineer role sits at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help organizations leverage Atlassian’s AI capabilities. You will lead the design, development, and deployment of AI/ML-powered solutions using Rovo, and architect robust integrations with Python/JavaScript, APIs, and enterprise-scale systems. You’ll influence product direction through customer collaboration, drive AI-augmented workflow automation, oversee end-to-end production deployments with monitoring and improvement, and navigate risk and compliance, including GDPR. You will mentor other engineers, foster innovation, and communicate complex concepts clearly to technical and non-technical stakeholders while aligning solutions with business objectives and measurable outcomes.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where it has a legal entity. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-enabled teamwork. You’ll lead the design, development, and deployment of AI/ML solutions tailored to customer needs, architect robust integrations using Python or JavaScript, and drive data-driven insights to inform product direction and workflow automation. You’ll oversee end-to-end production deployment, ensure ongoing evaluation and improvement, navigate AI risk and data privacy/regulatory requirements, and mentor junior engineers. You’ll also translate complex technical concepts for technical and non-technical stakeholders and align solutions with business objectives, establishing a clear vision and measurable results.

Atlassian supports flexible, distributed work and hires in any country where it has a legal entity. The Grad++ program offers hands-on technical training, dedicated mentorship, and strong social connections to set up students for a successful career. The role is hybrid and 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 sponsorship. You will build production-ready features for Jira, Confluence, and Trello, owning end-to-end work from design to deployment. The job also involves collaborating in Agile teams, innovating with AI/ML technologies, and solving complex technical problems using data-driven insights.

Atlassian supports flexible, distributed work and hires in any country with a legal entity, allowing collaboration from home, offices, or both. Its Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set up students for a successful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA, and it is not eligible for F1/J1 sponsorship or any work sponsorship. As an intern in the Security team, you will own a scoped project addressing a real security problem, guided by a Security Engineering Manager and mentored by a senior engineer. You’ll develop security tools and automation, conduct security research, use AI-assisted coding and research tools, potentially build AI-enabled security capabilities, and collaborate with security and software engineers through design discussions and reviews.

Atlassian supports flexible work locations, allowing collaboration where teams are most effective, and hires in any country with a legal entity. The Atlassian Intern program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful, impactful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA; you must be willing to work there, and it is not eligible for F1/J1 visas and does not provide sponsorship. As an intern on the Security team, you’ll oversee Atlassian services that host tens of thousands of customers, report to a Security Engineering Manager, and learn from a skilled team mentor. You’ll own a scoped security engineering project, develop tools and automation to find weaknesses or prioritize risks, conduct security research, use AI-assisted coding, and collaborate through design discussions and code reviews, delivering a solution ready for others to use and maintain.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, encouraging distributed collaboration across home, offices, or both. The Intern program is a 12-week paid internship during Summer 2027 (May/June – Aug/Sept 2027), in a hybrid role based in Seattle, and it does not support F1/J1 visas or any sponsorship. The role is a Research Intern on the AI Research Systems (AIRS) team within the Research and Insights organization, focused on powering AI-native research workflows and delivering insights to cross-functional partners. Responsibilities include reporting to a Research Manager, contributing AI tools, pipelines, and systems for the R&I team, and conducting a research project using existing AI tooling. Minimum qualifications require a 12-week full-time commitment and current enrollment with return after the internship; preferred qualifications include experience building AI tools, understanding the research process, proficiency in qualitative and some quantitative UX research, data management/analysis, and the ability to share research insights effectively.

Atlassian offers flexible work options—home, global offices, or a mix—and hires in any country with a legal entity. The Intern program combines hands-on technical training, dedicated mentorship, and strong social connections to set students up for a successful career. It’s a hybrid internship based in Seattle, WA or San Francisco, CA, and applicants must be willing to work from those cities; it is not eligible for F1/J1 or sponsor-based work authorization. Interns will work on Atlassian’s AI/ML products and platforms, across governance, compliance, recommendations, and observability, partnering with teams across Engineering, Product, Growth, Sales, Marketing, and Security. Responsibilities include building and evaluating applied AI/ML solutions, contributing to projects involving models, agents, retrieval, and evaluation workflows, translating business needs into technical projects, and clearly communicating results with documentation of trade-offs and next steps.

Atlassian offers flexible work options—remote, global offices, or a mix—and hires in any country where it has a legal entity. Its Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful career. This internship is a hybrid role based in Seattle, WA or San Francisco, CA, and applicants must be willing to work from those cities; it is not eligible for F1 or J1 students and does not provide work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure to address business, product, security, and engineering challenges across the company, including governance, compliance, recommendation and optimization, and ML development platforms. Interns will work on real-world AI/ML projects with mentors, translating business needs into technical projects, contributing to models, retrieval, and evaluation workflows, and evaluating solutions through experimentation, feedback, and documentation.

Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity (details at go.atlassian.com/distributed). The Grad++ program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to set graduates up for a successful career at Atlassian. The described role is hybrid and based in Seattle, WA, and you must be willing to work from that location; it is not eligible for F1/J1 students and does not offer work sponsorship. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, including areas like search, recommendation, personalization, Generative AI applications, and large language models. Responsibilities include building and evaluating ML models and Generative AI, using data and experimentation to improve quality, translating 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 multi-step problems.

Atlassian offers flexible work options and hires in any country where they have a legal entity, allowing collaboration from home, offices, or both. The Grad++ program blends hands-on technical training, mentorship, professional growth, and social connections to kickstart a career at Atlassian, and it is a hybrid role based in Seattle, WA, requiring that location; it is not eligible for F1/J1 visas or sponsorship. Atlassian’s Data Scientists collaborate with product, engineering, and business teams across Product Development, Growth, Marketing, and Operations to turn large-scale data into actionable decisions. They design and analyze experiments, build statistical frameworks, and develop machine learning models to solve business challenges and drive product innovation, defining core success metrics and uncovering user behavior trends to influence roadmaps. The role combines technical craft with strategic storytelling, developing data-driven hypotheses, analyzing telemetry data, identifying friction points and growth opportunities, and communicating results across the organization while partnering cross-functionally with product managers, engineers, designers, data engineers, and other data scientists.

Atlassian supports flexible work arrangements, letting employees collaborate from home or global offices, and hires in any country where it has a legal entity. The Atlassian Intern program combines hands-on technical training, mentorship, professional growth, and social connections, and runs for 12 weeks in Summer 2027 as a paid, hybrid role based in Seattle, WA (not eligible for F1/J1 and no work sponsorship). The Future Team role centers on data, reporting, and analytics to power the product with insights, requiring you to develop data-driven hypotheses and evaluate experiments, bridging data science, data engineering, and business teams. You will analyze rich telemetry datasets to uncover user journeys, friction points, and growth opportunities, and build robust data artifacts such as interactive dashboards, reproducible notebooks, or AI agents/skills to scale data-driven decision making. The ideal candidate has SQL and Python or R skills, solid stats knowledge, experience with A/B testing and ML fundamentals, familiarity with BI tools and AI/GenAI tools, strong communication, and is available for a 12-week full-time Summer 2027 while enrolled in a Masters program returning after the internship (graduating by August 2028).

Atlassian offers flexible work options, allowing collaboration at home, in global offices, or both, and hires in any country where they have a legal entity. The Grad++ program provides hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to support a successful Atlassian career. The position is a hybrid, Seattle-based New Graduate Data Engineering role and is not eligible for F1/J1 visas or any work sponsorship. In this role you’ll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers to measure, collect data, and generate insights that improve product experience, engagement, efficiency, costs, and strategy. Responsibilities include defining metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, alerting, visualization and reporting, and developing at scale to improve efficiency.

Atlassian offers flexible work locations, allowing collaboration from home, global offices, or both, and hires in any country where it has a legal entity. Atlassian’s Intern program combines hands-on technical training, professional growth, dedicated mentorship, and social connections to set students up for a successful and impactful career, with a 12-week paid internship running May/June–August/September 2027 in Seattle, WA, hybrid. This internship places you in the Data Engineering team, where you’ll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers to ensure data assets are of high quality and usefulness. Interns will help define metrics, collect data, build insights, and support improvements to product experience, engagement, efficiency, and costs, helping guide strategy. You’ll report to a Data Engineering Manager and work with a team mentor, and the role encompasses a broad set of responsibilities such as defining metrics, instrumenting logging, data acquisition and ingestion, data architecture and modeling, data transformation, data quality and governance, and alerting, visualization, and reporting at scale.

Atlassian offers flexible work options—office, remote, or a combination—so employees can balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. General responsibilities include solving problems, collaborating with cross-functional teams, building sustainable partnerships across technical backgrounds, communicating technical details effectively, and continuously learning to apply cutting-edge ML/AI knowledge. Daily responsibilities involve designing LLM-based methodologies and algorithms tailored to product needs, performing data preprocessing and feature engineering, and evaluating experiments with diverse metrics to ensure design specifications are met. They also include implementing and optimizing ML pipelines and monitoring and maintaining deployed intelligence solutions to ensure ongoing accuracy and efficiency.

At Atlassian, employees can work flexibly—office, remote, or hybrid—and the company hires in any country where it has a legal entity. DX, headquartered in Salt Lake City, Utah, is a fast-growing SaaS firm known for helping engineering leaders build high-performing teams and for collecting data to illuminate developer productivity and experience; it was recently acquired by Atlassian. The acquisition will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX emphasizes mastery and high performance, recognizing that while outcomes are unpredictable, individuals who perform at the highest level will be rewarded. In the role, you will build and maintain data pipelines, design data models for AI Impact Reports and benchmarks, collaborate with research and engineering, ensure data quality, support ad hoc data requests, and document schemas, logic, and pipelines to enable self-service.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally in any country where it has a legal entity, with the Risk and Compliance Senior Manager playing a key role across cloud and enterprise programs. The role requires deep expertise in compliance frameworks, risk management, and internal controls, plus the ability to lead cross-functional initiatives and influence stakeholders at all levels to maintain an audit-ready posture across multiple certifications and regulatory obligations. Core responsibilities include owning the annual compliance plan, driving robust internal control programs, leading end-to-end audit activities, and managing deficiencies with remediation follow-up. Additional duties involve strategic collaboration, building compelling business cases, serving as a trusted advisor, sharing knowledge, driving continuous improvement, and applying AI to streamline audit preparation, evidence management, control monitoring, and reporting with proper human oversight. Qualifications include 7+ years in technology risk management, compliance, or information security; deep expertise in SOC 2, ISO 27001, HIPAA (IRAP/PCI/C5 a plus); external audit leadership experience; strong communication and cross-functional collaboration; plus AI tooling experience and relevant certifications (CISA, CISM, CRISC, CISSP) and familiarity with Jira/Confluence.

Atlassian offers flexible work arrangements and hires in any country where it has a legal entity. The Risk and Compliance Senior Manager will drive Atlassian's risk and compliance strategy for cloud and enterprise programs, requiring deep expertise in compliance frameworks, risk management, and internal controls, and the ability to lead cross-functional initiatives and influence stakeholders at all levels. Responsibilities include owning the annual compliance plan, leading end-to-end audit activities across SOC 2, ISO 27001, HIPAA and other frameworks, managing control deficiencies, and driving continuous improvements in processes, metrics, and reporting, including applying AI to streamline audit preparation, evidence management, control monitoring, and reporting, while ensuring appropriate human oversight. The role involves collaborating strategically to align team objectives with organizational goals, building business cases, and serving as a trusted advisor to business partners and cross-functional peers. Required qualifications include 7+ years in technology risk management or information security, expertise in SOC 2/ISO 27001/HIPAA, external audit experience, strong communication and cross-functional collaboration, plus certifications such as CISA/CISM/CRISC/CISSP and familiarity with Jira/Confluence; experience with AI tools is a plus.

Atlassian allows employees to choose their work location—office, home, or a hybrid mix. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company states it can hire people in any country where it has a legal entity. There is a placeholder indicating that a specific job description will be inserted. Overall, the text emphasizes flexibility in work location and global hiring capabilities.

Atlassian's DX team helps teams worldwide advance through software, and as a CSM you partner with DX's customers to drive engineering transformation using the platform across implementation, rollout, and renewal. The role focuses on driving customer success by ensuring product utilization, business alignment, and high-value use cases, while becoming a product expert and managing the full customer lifecycle from implementation to renewal. You will create and maintain a customer success plan, track initiatives, meet net renewal and expansion targets, forecast renewals, and resolve renewal challenges to sustain a high renewal rate. You will establish DX as a strategic driver of customers' goals, lead executive discussions, identify expansion opportunities and new use cases, and collaborate with all functions to ensure customer success. Atlassians can work from an office, home, or hybrid, Atlassian hires in any country with a legal entity, and the team is collaborative with influence over decision-making, aiming to build an exceptional customer success function and a generational business.

The role is a Customer Success Manager for DX at Atlassian, partnering with customers to drive engineering transformation using our platform and overseeing implementation, rollout, and renewal to ensure program success. You’ll focus on product utilization, business alignment, and high-value use cases, while Atlassians can work flexibly from office, home, or a combination, and the company hires in any country with a legal entity. You’ll join a collaborative team reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and having influence over important decisions. Your responsibilities include becoming a product expert, owning the full customer lifecycle, creating and maintaining a customer success plan, meeting renewal and expansion targets, forecasting renewals, and proactively resolving renewal challenges. You will establish DX as a strategic driver, lead executive discussions, identify opportunities for expansion, collaborate across functions, and track key account metrics to measure and improve success.

At Atlassian, our mission is to unleash the potential of every team through open work, and as a CSM you’ll partner with DX’s customers to drive engineering transformation using our platform. You’ll manage an important segment of customers through implementation, rollout, and renewal, focusing on product utilization, business alignment, and ensuring DX supports high-value use cases at the company. Atlassians can choose where they work—office, home, or a hybrid—and we hire in any country where we have a legal entity. You’ll join a collaborative CSM team reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and influencing key company decisions, focusing on proactive, strategic work rather than firefighting. Responsibilities include owning the full customer lifecycle, creating and maintaining a customer success plan, meeting net renewal and expansion targets, forecasting renewals, resolving renewal challenges, establishing DX as a strategic driver, conducting executive discussions, identifying expansion opportunities, collaborating cross-functionally, and proactively tracking key account metrics.

Atlassian frames teamwork as foundational to great human achievements and aims to unleash every team’s potential through open work with their software. As a Customer Success Manager for DX, you will partner with customers to drive engineering transformation using the platform, managing implementation, rollout, and eventual renewal while optimizing utilization, business alignment, and high-value use cases. Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The role entails owning the full customer lifecycle, creating and tracking a success plan, forecasting renewals, meeting renewal and expansion targets, facilitating executive and C-level discussions, and positioning DX as a strategic driver within the customer’s goals. You will collaborate across functions, identify expansion opportunities, and proactively track key account metrics to measure success and identify improvements.

At Atlassian, 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. You will manage a key segment of customers from implementation through rollout and renewal, focusing on program success, 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 will join a collaborative team reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and driving real change for customers. Your responsibilities include owning the full lifecycle, creating a customer success plan, meeting renewal and expansion targets, forecasting renewals, addressing renewal challenges, positioning DX as a strategic driver, conducting executive discussions, exploring expansion opportunities, collaborating across functions, and tracking key metrics.

The role of a Customer Success Manager (CSM) at Atlassian DX is to partner with customers to drive engineering transformation using the platform, managing implementation, rollout, and renewal while focusing on product utilization, business alignment, and high-value use cases. Atlassians can work from office, home, or a mix, and the company can hire anywhere there is a legal entity. The CSM will join a collaborative team reporting to the Manager of Commercial Customer Success, with a broader aim of building an exceptional customer success function and influencing key decisions. Responsibilities include becoming a product expert, owning the full lifecycle, creating a customer success plan, meeting renewal and expansion targets, forecasting renewals, identifying renewal challenges, and positioning DX as a strategic driver through executive discussions and growth opportunities. The role requires close collaboration with all business functions, proactive tracking and reporting of key metrics, and continuous pursuit of customer success improvements.

Atlassian offers flexible work locations and hires globally, with the Rovo + AI team aiming to shape the next era of teamwork by making Rovo a trusted intelligent teammate that delivers durable customer value. The Rovo Chat Quality team builds evaluation systems, datasets, quality signals, and production ML capabilities to measure and improve how Rovo performs for customers. As a Principal Machine Learning Engineer, you’ll be deeply hands-on while setting cross-team direction and driving advances in models, agents, and evaluation to meaningfully improve millions of users’ experiences. You’ll architect and operate production ML and evaluation systems at scale (including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals) and push Rovo’s capabilities in reasoning, planning, tool use, memory, and long-horizon execution; you’ll close the loop by identifying failure modes, shipping interventions, and linking them to better outcomes. You’ll lead ambitious cross-organizational initiatives, establish reusable methods and standards, and mentor others, leveraging a track record of large-scale ML, LLM/applications, production engineering, and strong leadership to drive safe, reliable, and cost-conscious AI products at Atlassian.

Atlassian describes its mission to unleash the potential of every team through open work and invites CSMs to partner with DX customers to drive engineering transformation using the platform. The CSM will manage an important segment from implementation through rollout and renewal, ensuring product utilization, business alignment, and high-value use cases. The role emphasizes a proactive, strategic partnership over firefighting, with a collaborative team that influences key decisions and aims to build a generational customer success function. Responsibilities include becoming a product expert, owning the full customer lifecycle, creating success plans, meeting renewal and expansion targets, forecasting renewals, addressing renewal challenges, driving DX as a strategic driver, pursuing executive discussions, identifying expansion opportunities, collaborating across functions, and tracking key metrics. Atlassian offers flexible work arrangements and can hire globally in any country where it has a legal entity.

Atlassians can choose where they work—office, home, or a combination—and Atlassian hires in any country where it has a legal entity. Atlassian is looking for a Data Engineer to join the Data Engineering team to build world-class data solutions and applications that power crucial decisions across the organization, focusing on building systems at scale and contributing to a data-driven culture. Data is a big deal at Atlassian, with billions of events ingested each month into the analytics platform and many teams relying on data and services to guide decisions and operations. The data engineering team manages data models and pipelines across functions like finance, growth, product analysis, customer support, sales, and marketing, and the team is smart, direct, and asks hard questions to continually improve their work. As a Data Engineer, you will apply technical expertise to build analytical data models for diverse requirements, work with extended teams to evolve solutions as business processes change, own problems end-to-end, and continuously improve data by adding sources, coding business rules, and producing new metrics.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or a mix to support family, personal goals, and priorities. They hire people in any country where they have a legal entity. Atlassian is looking for a Data Engineer to join the Data Engineering team, build scalable data solutions, and drive a data-driven culture. Data is a big deal at Atlassian, with billions of events ingested monthly to power analytics for dozens of teams across finance, growth, product analysis, customer support, sales, and marketing. The role involves end-to-end ownership, evolving solutions as business processes change, adding new data sources, coding business rules, and producing new metrics.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity to help employees balance family and personal goals. They are looking for a Data Engineer to join the Data Engineering team to build world-class data solutions and applications that power crucial decisions across the organization. The role requires an open-minded, structured thinker who is passionate about building systems at scale and helping establish Atlassian’s data-driven culture, including backend systems and data models to support analytics. Atlassian processes billions of events per month in its analytics platform, with dozens of teams relying on data and services across finance, growth, product analysis, customer support, sales, and marketing, and the team values direct communication and continuous improvement. The Data Engineer will own end-to-end problems, collaborate with extended teams to evolve solutions as business processes change, and continuously improve data by adding sources, coding business rules, and producing new metrics.

The company offers flexible work options—office, remote, or hybrid—and hires globally wherever it has a legal entity. You will join a collaborative team of Commercial Customer Success Managers reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and influencing important company decisions. The role focuses on partnering with customers to drive real change and positive impact, supported by a strong team so you can work proactively and strategically rather than firefighting. You will own the full customer lifecycle—from implementation to renewal—create and maintain a customer success plan, and meet targets for net renewal and expansion while forecasting renewals and addressing renewal risks. You will establish DX as a strategic driver of customers' goals, conduct executive discussions, uncover expansion opportunities, collaborate across functions, and track key account metrics to measure success and guide improvements.

This is a Customer Success Manager (CSM) role at DX within Atlassian, partnering with customers to drive engineering transformation using the platform and overseeing implementation, rollout, and renewal. The role focuses on driving customer success by maximizing product utilization, aligning with business goals, and ensuring high-value use cases are supported. For now, you will work four days per week onsite at the Salt Lake City office as DX integrates into Atlassian. You will join a collaborative team of CSMs reporting to the Manager of SMB Customer Success, in a culture committed to building an exceptional customer success function and influencing important company decisions. Duties include owning the full customer lifecycle—from implementation to program success and renewal—creating and tracking a customer success plan, forecasting renewals, identifying renewal challenges and expansion opportunities, arranging executive discussions, and collaborating across functions while tracking key metrics.

Atlassian offers flexible work options—office, remote, or a hybrid approach—and hires in any country where it has a legal entity. The Senior Solutions Engineer, Strategic role is to be a product expert in the sales cycle, solve customers’ toughest problems with Atlassian solutions, and help close enterprise deals. Responsibilities include partnering with sales, partners, and larger account teams on transformation deals in large, global accounts with multi-million dollar spend thresholds, engaging with C-level executives, conducting discovery, mapping business needs to Atlassian products, and leading value-based demonstrations with cross-product opportunities. The role requires understanding the full Atlassian product suite, guiding customers’ technical needs to gain buy-in, forging strong partnerships with aligned account executives, leading cross-functional teams, and capturing product feedback to inform internal development while continuously learning. Compensation follows geographic pay zones with base salary ranges—Zone A: $168,300-$219,725; Zone B: $151,271-$197,493; Zone C: $139,506-$182,132—plus potential benefits, bonuses, commissions, and equity.

- Atlassian offers flexible work options (office, home, 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 Solutions Engineer, Strategic for its strategic business, who will be a product expert in the sales cycle and help solve customers’ hardest business problems to close enterprise deals. - The role involves partnering with sales, partners, and executive-level customers in large global accounts, conducting discovery, mapping needs to Atlassian products, and leading value-based demonstrations. - You will identify cross-product opportunities, lead cross-functional teams, document customer feedback and competitive intelligence for internal product management, and continuously expand pre-sales knowledge. - Compensation includes benefits, bonuses, commissions, and equity, with US base pay zones and ranges (Zone A: $168,300–$219,725; Zone B: $151,271–$197,493; Zone C: $139,506–$182,132), with more details at go.atlassian.com/payzones and confirmation of the zone with a recruiter.

Atlassian offers flexible work options—office, remote from home, or hybrid—and hires in any country where it has a legal entity. They’re seeking a Senior Solutions Engineer, Strategic to be a product expert in the sales cycle, solving customers’ hardest business problems with Atlassian products and helping close enterprise deals. The role involves partnering with sales, partners, and large account teams on transformation deals in global accounts, engaging C-level and executive leaders, conducting discovery, and mapping client needs to Atlassian platforms and cross-product opportunities. Responsibilities include leading value-based demos, guiding technical requirements, building strong partnerships with aligned account executives, coordinating cross-functional teams, and providing product feedback to management. Compensation follows geographic pay zones with base pay ranges (Zone A: 168,300–219,725; Zone B: 151,271–197,493; Zone C: 139,506–182,132) and may include benefits, bonuses, commissions, and equity; confirm the zone with the recruiter.

Atlassian is hiring a Senior Product Marketing Manager to own the go-to-market for Forge and the broader developer platform, blending product marketing with developer GTM. The role involves shaping the story for technical products, translating capabilities into developer value, and building GTM motions to drive awareness, activation, and adoption, with a near-term focus on TEAM for Builders, Atlassian’s Tier 1 developer event. You’ll own developer platform positioning, GTM for developers, and the TEAM for Builders strategy, coordinating with Product, Engineering, Advocacy, Events, Brand, Community, and Ecosystem to create a year-round developer engagement engine, plus lead Launch & Adoption for major platform releases and growth programs. Requirements include 7+ years in product/developer marketing or related fields, technical fluency, strong storytelling, a track record with complex launches or programs, and the ability to operate strategically while shipping. Atlassian supports flexible work arrangements (office, home, or hybrid) and hires globally where legal entities exist, with success defined by making TEAM for Builders a defining developer moment and cohesive GTM motion within the first year.

- Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity. - This role, Manager of Customer Success Architects (AI), leads a pod focused on adopting Atlassian's Rovo AI platform and owns its operational health and delivery of time-boxed engagements that yield measurable business value. - You’ll hire, coach, and develop Customer Success Architects, oversee capacity planning and engagement quality, track adoption metrics, and collaborate with Pre-Sales, Post-Sales, Product, and Engineering to deliver AI solutions and expand use cases. - You’ll partner with Account Teams, CSMs, and Sales to align pod capacity with pipeline, ensure enablement and current playbooks, iterate on methodology, onboard new hires, surface product friction to influence the roadmap, and represent TAS in cross-functional forums while highlighting customer successes. - The role requires familiarity with GDPR and EU AI Act regulatory frameworks and may involve travel up to 15% domestically and internationally.

Atlassian offers flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity to support employees' priorities. Its products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate and are used by a wide range of customers from Fortune 500 companies to NASA and Audi. The Mid-Market sales role owns 45-75 accounts (200-10,000 seats), carries a $2-4M annual quota, and leads a cross-functional deal team to drive net-new growth and expansion while building executive relationships and applying MEDDPICC to close complex opportunities. The role collaborates with channel, marketing, product, and customer success, negotiates and prices contracts, sources leads to maintain pipeline, forecasts accurately, and travels occasionally for meetings and events. A key focus is advocating for customers, providing feedback to product and engineering, staying current on industry trends and competitors to maintain a competitive edge, and embodying Atlassian values and a team approach to deploying at scale.

Atlassian offers flexible work locations (office, home, or hybrid) and hires across countries where it has a legal entity to support employees’ personal priorities. They are hiring a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve enterprise customer problems, and help close multi-million dollar deals. The role involves partnering with sales, engaging C-level stakeholders, conducting customer discovery, mapping needs to Atlassian products, and leading value-based demonstrations to gain buy-in. It requires cross-functional collaboration, tracking opportunities, gathering product feedback, and continuously expanding knowledge of Atlassian products and solutions, with a focus on cross-product strategies. Compensation is designed to be equitable with US geographic pay zones (A, B, C) and base pay ranges, plus potential benefits, bonuses, commissions, and equity, with location confirmation via the recruiter.

Atlassian allows employees to choose where they work—office, home, or a hybrid—and hires people in any country where it has a legal entity. The company is seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. In this role, you will partner with sales teams, executives, and customers on transformation deals, conduct customer discovery to map needs to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations while guiding technical requirements to gain buy-in. You will also build strong partnerships with aligned account executives, support cross-functional teams, track and document product feedback and competitive intelligence, and continuously learn about Atlassian’s offerings and sales processes. Compensation is designed to be equitable and competitive, with location-based pay zones and potential benefits, bonuses, commissions, and equity; in the United States, base pay ranges are Zone A: $168,300–$219,725, Zone B: $151,271–$197,493, and Zone C: $139,506–$182,132, with additional details available at go.atlassian.com/payzones.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. - They are seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solving customers’ toughest problems and helping close enterprise deals. - The role involves partnering with sales teams and executives in large global accounts, conducting customer discovery, mapping needs to Atlassian products, identifying cross-product opportunities, leading value-based demos, guiding technical requirements, and collaborating with cross-functional teams. - You’ll also collect product feedback and competitive intelligence to advocate for development and continuously deepen knowledge of pre-sales, solutions, and platform offerings. - Compensation follows geographic pay zones with specific US base pay ranges (Zone A: 168,300–219,725; Zone B: 151,271–197,493; Zone C: 139,506–182,132) and may include benefits, bonuses, commissions, and equity, with details at go.atlassian.com/payzones.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence team, building intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and innovation, with options to work in office, from home, or hybrid, and hiring in any country where Atlassian has a legal entity. The role leads end-to-end development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge across Atlassian, spanning problem definition to 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 architecture, raise standards, and mentor other ML engineers. Responsibilities include designing and deploying state-of-the-art ML algorithms for production, owning projects from concept to production, building scalable data and modeling approaches, and designing robust architectures for quality, latency, scale, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLMs; plus rigorous experimentation and evaluation, integrating AI capabilities into Atlassian products, and identifying opportunities to improve performance and customer outcomes. You’ll mentor ML engineers, contribute to technical strategy, establish best practices, and foster a culture of experimentation, continuous learning, inclusive collaboration, and iterative delivery.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization, offering flexible work options (office, remote, or hybrid) and the ability to hire in any country where the company has a legal entity. In this role you will lead the development and productionization of advanced ML systems that help people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition to deployment and optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous 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, and creating architectures that meet quality, latency, scale, privacy, and cost requirements across information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design rigorous experiments and evaluations, collaborate to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, communicate trade-offs to diverse audiences, and contribute to a culture of experimentation and iterative delivery.

Atlassian is seeking a Senior Machine Learning Engineer in the Search & Intelligence organization to develop intelligent experiences, models, evaluation frameworks, and data pipelines that power its AI products and innovation, with flexible work options and hiring in any country where a legal entity exists. The role involves leading the full machine learning lifecycle—from problem definition and data exploration to model development, deployment, and ongoing optimization—working closely with product managers, software engineers, and data scientists. You will design, productionize, and own ML projects, building scalable data and modeling approaches and robust architectures that meet quality, latency, scale, privacy, and cost requirements. The work spans information retrieval, search ranking, personalization, natural language processing, deep learning, and large language model applications, with rigorous offline and online experiments to measure impact. You’ll mentor other ML engineers, contribute to technical strategy and best practices, translate research into reliable production systems, and foster a culture of experimentation and inclusive collaboration across the organization.

Atlassian offers flexible work options—office, remote, or a hybrid—so Atlassians can support family and personal goals, and the company can hire in any country where it has a legal entity. DX is Atlassian's developer intelligence platform that helps engineering leaders understand how work gets done by combining self-reported developer insights with data from the systems where software work happens, turning signals into actionable insights about productivity and AI. Design at DX is fast, hands-on, and collaborative; designers partner with Product and Engineering from problem definition through implementation, stay close to customers and GTM partners, help determine what we build and how it works, contribute to the production codebase using AI and code, and participate in the broader design community across Atlassian. The Principal Product Designer will lead DX's product design as an individual contributor with DX-wide influence, setting the end-to-end experience vision, shaping strategy and backlog with the Head of Product and Head of Engineering, turning complex engineering data into coherent experiences, and guiding customer research from discovery through post-launch iteration. You will also drive AI-native workflows, define experience outcomes and scalable patterns, align with the Atlassian Design System, prioritize across DX with leadership, run design syncs and critiques, mentor designers, and ensure the design team ships high-impact work.

Atlassian is hiring a remote Customer Success Manager with Spanish language proficiency to help customers realize value from Atlassian investments by aligning strategic goals and enabling early and sustained outcomes through scalable methodologies. The CSM will build trusted advisor relationships with executives, admins, and global teams, guiding them through hurdles and delivering value realization via proactive, programmatic engagement and cross-product leadership. You’ll work across multiple products with the account team (account executive, solution partners, and other Atlassians), and develop Customer Success Plans, regular check-ins, Executive Business Reviews, and strategic planning sessions across Americas time zones. Responsibilities include post-sales relationship management, maintaining product knowledge to discuss relevant features, driving adoption and expansion, mitigating churn through early risk identification and escalation with the Account Associate, and acting as the Voice of the Customer. The role requires experience with SaaS enterprise models and fluency in English and Spanish to serve customers in Latin America and the United States.

- Atlassian offers flexible work options—office, remote, or hybrid—so employees can balance family, personal goals, and priorities. - They hire in any country where they have a legal entity and are investing in their public sector mission to unleash every team’s potential. - They partner with State and Local Government, Federal Civilian agencies, Higher Education, and large Federal Systems Integrators to advance software and collaboration, serving over 250,000 customers worldwide. - Public Sector Account Executives are responsible for deeply understanding customers’ use of Atlassian products, nurturing existing relationships, and building new ones through strategic account planning and value demonstrations. - They lead as the customer account liaison, coordinating cross-functional teams and connecting customer needs with product and engineering roadmap to improve the customer experience.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity, emphasizing work-life balance and global reach. Design aims to create clarity, connection, and joy, building a unified, AI-centered experience across tools so customers stay in flow and derive power from the platform. The role leads design for Strategy Collection—an AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo)—connecting strategic bets, capacity, delivery, and financials into a living operational view, with a 0-to-1 space sponsored by executives. Responsibilities include defining the design vision, enforcing high craft, managing a 5–10 person design team, partnering with Product and Engineering, championing AI-native workflows, and advocating for C-suite and portfolio-manager users. Minimum qualifications include experience scaling teams of senior ICs/managers, a portfolio showing consumer-grade craft, success in high-ambiguity 0-to-1 environments, hands-on AI prototyping, and fluency in enterprise domains; preferred qualifications include AI-first background and familiarity with SPM, OKRs, analytics, workforce planning, or financial governance platforms.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where they have a legal entity, helping employees support family and personal goals. Atlassian is seeking a Principal in Strategy and Business Operations to partner directly with the Rovo and AI organization, Atlassian’s central AI platform team. The Strategy & Business Operations team drives strategy, growth, and business operations, owning projects from inception to delivery and delivering high-quality, impactful recommendations while stewarding performance against strategic plans. Responsibilities include mapping AI innovations to company-wide priorities, driving data-driven decisions via analysis and insights, leading operational processes for long-range planning and OKRs, and coordinating business reviews for the Rovo & AI leaders and Atlassian’s executive team with cross-functional stakeholders. Requirements include 8+ years in a high-growth software/tech environment in BizOps or consulting/investment banking, comfort with ambiguity and structured decision-making, strong executive presence and communications, proficiency with a range of AI tools, ownership and independence, and genuine enthusiasm for technology.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity. The company is seeking a Principal in Strategy and Business Operations to partner with the Rovo and AI organization, Atlassian's central AI platform team. The SBO team is high-impact, driving strategy, growth, and operations, owning projects from inception to delivery and delivering creative, high-quality recommendations while monitoring performance. The role will map AI innovations to company-wide priorities, drive data-driven decision-making, manage long- and short-term planning and OKRs, and lead business reviews for executives, collaborating with product, sales, marketing, data science, and finance. Candidates should have 8+ years in high-growth software/tech BizOps or related fields, be comfortable with ambiguity, possess strong executive presence and communication, and be adept with AI tools while staying curious and independent.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization, building AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power its AI products. The company offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the full ML lifecycle from problem definition to deployment and ongoing improvement. A core focus is making evaluation a first-class part of AI development—defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product and engineering decisions, with collaboration across product managers, engineers, data scientists, research scientists, and platform teams, plus mentorship. Responsibilities include building production ML models and AI systems, designing evaluation-driven development processes and datasets, conducting offline/online/human/model evaluations and error analysis, designing scalable architectures for quality, reliability, latency, privacy, and cost, applying IR, embeddings, NLP, deep learning, and LLM techniques, and communicating decisions while contributing to ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Employees can work from an office, from home, or in a hybrid model, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the full ML lifecycle from problem definition to deployment and continuous improvement, with evaluation as a first-class part of development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. You’ll design evaluation-driven processes, build evaluation datasets and benchmarks, conduct offline and online evaluations and error analyses, design scalable architectures, apply modern IR, NLP, deep learning, and large language model techniques, and communicate technical decisions clearly to both technical and non-technical audiences.

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 powering its AI products. The company offers flexible work options (office, remote, or hybrid) 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 across the full ML lifecycle from problem definition to deployment and continuous improvement. A key focus is making evaluation a first-class part of AI development—defining quality metrics, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product decisions, including offline/online evaluations and error analysis. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams; mentor others; design scalable architectures; apply modern IR, NLP, DL, and LLM techniques; build evaluation-driven processes; and communicate technical decisions clearly to diverse audiences.

Atlassian offers flexible work options (office, home, or hybrid) and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to help customers discover value and advance through the lifecycle. The Growth team brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian, employing experimentation, personalization, and intelligent orchestration across the full funnel. The ML Engineer will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including moving cross-flow ranking toward a unified, value-aware orchestration system. Responsibilities include defining ML strategy, partnering with cross-functional teams, building datasets, features, and evaluation frameworks, running offline and online experiments, and monitoring attribution, latency, quality, and fairness to optimize durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS-focused degree, strong Python and familiarity with Java/Typescript, SQL, Spark, cloud data environments, experience with large-scale models, ability to communicate ML concepts to diverse audiences, an agile mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; bonus points for SaaS/B2B growth experience and understanding funnel metrics.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for Growth to craft intelligent, personalized experiences that guide customers through awareness, activation, expansion, retention, and long-term value. The role focuses on turning behavioral and product signals into scalable ML systems for personalized recommendations and journeys, building data foundations, models, evaluation frameworks, and cross-product decisioning. You will design, build, and operate ML systems across the funnel, run offline and online experiments, monitor attribution, latency, quality, and fairness, and optimize for durable portfolio value rather than short-term metrics. Qualifications include 5+ years in ML, a CS-related degree, strong Python (plus Java/TypeScript), SQL, Spark, cloud environments (AWS/Databricks), experience with large-scale models and datasets/evals, and the ability to communicate ML concepts and collaborate with cross-functional teams. Preferred but not required are experience in SaaS/B2B or consumer space, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, causal inference, and understanding engagement/activation/conversion/expansion/retention metrics; the role aims to move from fixed heuristics to a unified, value-aware orchestration system.

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

Atlassian offers flexible work options and hires in any country with a legal entity, giving employees control over family and personal priorities. The Account Management team focuses on deepening relationships with major customers (including 82% of the Fortune 500) and driving retention and expansion across the full product portfolio, in partnership with the Global Sales team to grow the total book of business. They are seeking a commercial leader with 7+ years of experience in achieving revenue targets and expanding within enterprise accounts, skilled at managing multiple complex sales cycles and identifying strategic expansion opportunities. The role involves accelerating revenue by leading strategic account planning, whitespace mapping, expanding executive relationships, managing high-value renewals and multi-million-dollar opportunities, and driving platform consolidation, Data Center-to-Cloud migrations, and adoption of AI capabilities. You will perform executive value reviews, maintain forecast accuracy, identify portfolio risks early with mitigation plans, and collaborate cross-functionally with Solution Engineering, Advisory Services, Support, and Product teams to support customer growth.

- Atlassian supports flexible work arrangements and hires globally in any country where they have a legal entity, enabling employees to balance family, personal goals, and priorities. - The Account Management team focuses on deepening relationships with major customers, including 82% of the Fortune 500 and companies like IBM, Tesla, Lufthansa, and more, helping them realize value across Atlassian solutions. - The role aims to increase revenue across Atlassian’s full product portfolio, drive retention and expansion, lead total book of business growth, and reports to the Manager, Strategic Account Management, while collaborating with the Global Sales team and other functions. - The ideal candidate is a commercial leader with 7+ years of enterprise sales experience, capable of handling multiple complex cycles, excelling in discovery, and maintaining a customer-first mindset aligned with Atlassian’s strategy. - Responsibilities include accelerating revenue, strategic account planning, executive relationship development, managing high-value renewals and multi-million-dollar cycles, driving platform consolidation and Data Center-to-Cloud migrations, promoting AI capabilities (Rovo), conducting executive value reviews, maintaining forecast accuracy, mitigating portfolio risks, and coordinating with Solution Engineering, Advisory Services, Support, and Product teams.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The Team Atlassian continues to invest in our largest, most strategic customers, partnering with 82% of the Fortune 500 and with teams at IBM, Tesla, Dish, Lufthansa, and more. Our Account Management team aims to deepen customer relationships, drive retention, and accelerate expansion across Atlassian’s core products, in partnership with the Global Sales Team to grow the total book of business. We seek a commercial leader with 7+ years of experience who can manage multiple complex sales cycles, identify strategic expansion opportunities, and advocate for customers while aligning with Atlassian’s strategy. You will accelerate revenue across the product portfolio, lead strategic account planning, develop executive relationships, manage high-value renewals and multi-million dollar cycles, drive platform consolidation and Data Center-to-Cloud migrations, support AI capabilities, conduct value reviews, maintain forecast accuracy, identify risks early, and coordinate cross-functional teams to support growth.

The Atlassian Advisory Services team is a globally distributed group of Atlassian experts focused on customer success, working with large strategic and enterprise organizations to deliver delightful solutions and maximize the benefits of Atlassian investments. They hire great people, trust them to be great, and want to see ideas in action; they are hiring a Solution Consultant with a DC and Cloud Platform skillset to join the Advisory Services’ Public Sector team as an individual contributor (not managerial). Solution Consultants are experts in Atlassian products, practices, and solutions, delivering guidance to drive value realization for clients who purchased Advisory Services, providing strategic technical guidance at scale and aligning product capabilities with business outcomes. Their responsibilities include collaborating with peers to align on strategic outcomes, partnering with customers to solve business challenges using Atlassian products, identifying opportunities for service and product expansion, cultivating deep industry expertise, creating technical solution content and prescriptive guidance, and partnering with non-customer-facing teams to advocate for customer needs and innovative solutions. They may spend up to 30% of their time traveling domestically, and in some cases internationally, for internal and customer-facing events.

Atlassian's Advisory Services is a globally distributed team of experts focused on customer success, working with large strategic and enterprise organizations to help them deliver delightful solutions. They provide trusted advisors to orchestrate successful outcomes and maximize the benefits of Atlassian investments, impacting millions of users quickly. Atlassian is hiring a Solution Consultant with DC and Cloud Platform skills to join the Public Sector Advisory Services team as an individual contributor (not a manager). Solution Consultants are experts in Atlassian products and practices, delivering strategic technical guidance at scale to align product capabilities with business goals and outcomes. The role involves collaborating to deliver strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, building expertise, creating prescriptive guidance, advocating for customer needs across teams, and traveling up to 30% of the time for internal and customer-facing events.

The Atlassian Advisory Services team is globally distributed and focused on creating customer success by working with large strategic and enterprise organizations to deliver delightful solutions to their users. They provide trusted advisors to help orchestrate outcomes and maximize benefits from customers' Atlassian investments. Atlassian is hiring a Solution Consultant (DC and Cloud Platform skillset) to join the Public Sector Advisory Service as an individual contributor, not a manager. Atlassian Solution Consultants are experts who deliver guidance to drive value realization for clients who purchase Advisory Services, aligning product capabilities with business needs and outcomes. Responsibilities include collaborating with peers to align on strategic outcomes, partnering with customers to solve challenges, identifying expansion opportunities, developing technical guidance, advocating for customer needs across teams, and traveling up to 30% for internal and customer-facing events.

Atlassians can work in the office, from home, or in a hybrid setup, and the company hires globally wherever there is a legal entity, enabling work-life balance and prioritization. Dev Infra builds the tools, platforms, and infrastructure every Atlassian engineer uses, and we’re hiring a Senior Principal Engineer for the AI Foundations team to improve AI across the software development lifecycle—the metrics, context, and compute it runs on. The reach is broad because the tools we build are used to ship developer tooling for Atlassian’s products, influencing both what and how the company ships to millions of developers. Responsibilities include setting the technical vision for AI enablement, staying hands-on with prototyping and coding, building foundational systems to measure AI effectiveness and run it reliably at scale, providing real signal instead of hype, and partnering with engineering and product to shape internal tools and customer-facing AI capabilities, deciding when to buy, build, or build something purpose-built. The role also involves mentoring senior engineers, aligning principals across the organization, and elevating what's possible while growing the team and ensuring AI is scalable, affordable, and impactful.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where we have a legal entity to support work-life priorities. Dev Infra builds the tools, platforms, and infrastructure every Atlassian engineer uses to ship, and they’re hiring a Senior Principal Engineer for the AI Foundations team, which makes AI work well across engineering by addressing measurement, context, and compute. Because Dev Infra builds and tests the same class of developer tools Atlassian sells, your work will shape both how Atlassian ships software and what it ships to millions of developers. In this role you’ll set the technical vision for enabling AI across the software development lifecycle, stay hands-on by prototyping and writing code, lead by doing, and build foundational AI systems including measurement, context, and scalable, affordable operation while providing real signal rather than hype; you’ll partner across engineering and product to shape internal tools and customer-facing AI capabilities, and decide when to buy, build, or create something bespoke. You’ll also grow the talent around you by 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 hybrid—and hires in any country where it has a legal entity to better support employees' family and personal goals. Dev Infra builds the tools, platforms, and infrastructure every Atlassian engineer uses, and this role is a Senior Principal Engineer for the AI Foundations team focused on making AI work well across engineering by shaping measurement, context, and compute. The reach of this work is unusual because Dev Infra designs and stress-tests the same developer tools Atlassian sells, so what you build will influence both how Atlassian ships software and what it ships to millions of developers. In this role you will set the technical vision for enabling AI across the software development lifecycle, stay hands-on by prototyping the hardest parts, writing code, and raising the engineering bar for others to meet. You will build foundational AI systems, give engineers real signal instead of hype, partner with engineering and product teams to decide when to buy, build, or create something purpose-built, and mentor senior engineers to raise the team's ceiling.

Atlassian is a distributed-first company with virtual interviews and hires in any country where it has a legal entity. The Intern program is a 12-week paid Product Design Internship (May/June 2027–Aug/Sept 2027), located in the Pacific Time Zone, requiring full-time 40 hours per week and not eligible for F1/J1 sponsorship or other work sponsorship. As a Product Design Intern, you’ll work on real design challenges to build AI-native, connected experiences across Jira, Confluence, and the Atlassian cloud, collaborating with product managers, engineers, researchers, and designers worldwide. You will apply interaction, visual, and systems design, use research insights and prototyping, and contribute to design systems while learning how AI and teamwork shape modern collaboration at scale. Minimum qualifications include a 12-week full-time commitment, current enrollment in a 4-year bachelor’s or 2-year master’s program with plans to graduate by June 2028, returning to school after the internship, and less than a year of professional experience; preferred qualifications include user-focused design experience and strong ability to plan and collaborate across teams.

Atlassian offers flexible work options—employees can work from the office, from home, or a blend, and the company hires in any country where it has a legal entity. The role includes owning portfolio-level trust outcomes by setting strategic direction and steering a multi-year portfolio across Security, Compliance, GRC, and Privacy, aligning executive decisions with company priorities. It requires leading cross-functional delivery by orchestrating work across Trust Engineering, Product, Platform, Legal, GRC, and IT, while managing dependencies, risks, and trade-offs. The position emphasizes secure-by-default engineering—embedding automated security controls, AI-native SDLC, software supply chain defenses, and continuous vulnerability monitoring—and enabling regulated market access through readiness and certifications like FedRAMP. It also focuses on turning ambiguity into clarity through structured governance, influencing executive leadership with risk insights, establishing durable frameworks, and measuring impact with metrics on security posture, vulnerability reduction, audit readiness, and business value.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with this role designated for PST due to business needs. They are seeking a Credit and Collections Manager to lead the AMER region, responsible for reliable operations, stronger controls, and cross-functional partnerships to reduce risk and improve cash flow in line with quote-to-cash priorities. The role involves leading day-to-day operations through a team, developing staff, overseeing credit assessment/limits/monitoring/collections/disputes, updating policies, and driving process improvements while coordinating with Sales, Revenue, Accounting, IT, and Customer Support; it also requires establishing targets and reporting on metrics such as DSO and aging. Requirements include a degree, 7+ years in AR/credit/collections, 3+ years of people leadership, deep knowledge of related controls, experience in multinational or SaaS environments, and strong data-driven decision making, with preferred skills in Oracle Fusion, SAP/NetSuite, broader AR/revenue experience, CPA, and automation or reporting capabilities. The role is part of Atlassian’s Accounting Team, focusing on scalable, compliant, and customer-aware credit and collections outcomes, and Atlassian emphasizes inclusive culture with non-discrimination across race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

At Atlassian, you can work flexibly (office, home, or mix) with a distributed-first approach, and interviews and onboarding are conducted virtually for hires in any country where Atlassian has a legal entity. 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. You will lead a team of application development and software engineers, drive run-the-business operations, and manage projects from design to launch while collaborating with internal customers to set expectations and communicate results. The role emphasizes maximizing Fusion Cloud features, driving automation with RPA and low-code/no-code tools, and leading integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), all while maintaining SOX compliance and a metrics-driven focus. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, deep expertise in Oracle Fusion Cloud and related SaaS systems, automation/PaaS skills, exposure to AI/ML use cases, and strong interpersonal and communication abilities.

At Atlassian, you can work flexibly in-office, from home, or a mix, and the company hires globally with virtual interviews and onboarding. The Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team will lead a cross‑level group to develop and transform Oracle Fusion Cloud and other Finance SaaS apps, driving run-the-business operations and projects from design to launch while collaborating with internal customers. Responsibilities include maximizing Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), ensuring OKRs, and fostering an automation mindset with RPA and low-code/no-code tools, with exposure to AI/ML. The role also involves integrating Fusion Cloud with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), focusing on metrics, SOX compliance with Internal Audit, and making a high-visibility impact 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, expertise in Oracle Fusion Cloud and other SaaS systems, experience leading large transformations and automation initiatives, familiarity with AI/ML, 24x7 operations, and strong communication skills.

At Atlassian, you can work where you are most productive—office, home, or a hybrid—and interviews and onboarding are conducted virtually as part of a distributed-first approach. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you’ll lead application development and software engineers to modernize Finance Operations using Oracle Fusion Cloud, other SaaS, and initiatives in automation, AI/ML, and finance priorities, driving projects from design to launch. You’ll maximize Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), guide run-the-business operations, and manage cross-team integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, and more) while ensuring OKRs are met. The role emphasizes an automation mindset with RPA and low-code/no-code tools, a metrics-driven approach, and collaboration with engineers, data scientists, and product managers, with high-visibility impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit for SOX compliance. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise with Oracle Fusion Cloud and related SaaS stacks, experience leading transformations, familiarity with automation tools and AI/ML, exposure to Salesforce/Databricks, and strong communication and leadership skills.

Atlassian supports flexible work locations—office, home, or a combination—to help employees balance family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that improve quality, reliability, and latency. You will lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results. Your role is pivotal beyond these tasks to ensure AI's transformative potential is realized across our offerings, and the Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, with a 10x growth in the product surface over the last year.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to balance family, personal goals, and priorities. Atlassian hires people in any country where the company has a legal entity. In this role, you will collaborate with cross-functional partners to become a trusted strategic partner through structured work, apply technical expertise with quantitative analysis and experimentation, and test hypotheses using various methodologies. You will define, understand, and test opportunities to improve the products and business, influence roadmaps with insights and recommendations, and partner with teams to inform, influence, and execute strategy decisions while forecasting and monitoring key product metrics. You will use data and storytelling to shape product development, quantify opportunities, identify upcoming challenges, ensure the products we build bring value to people, businesses, and Atlassian, and communicate insights broadly to leadership teams.

Atlassians can choose to work in an office, from home, or a mix, giving them flexibility to support family, personal goals, and other priorities, and Atlassian can hire in any country where it has a legal entity. You partner directly with Sales leadership to understand business performance, identify opportunities and risks, and shape priorities that improve GTM execution. You develop a deep understanding of the business you support—customers, pipeline, coverage, productivity, and performance—and use rigorous analysis to form a clear point of view on where the business should focus. You lead the operating rhythm for the business, including forecasting, pipeline reviews, business reviews, and planning, surface important issues, drive decisions, and maintain accountability; you also lead high-priority strategic and operational work for Sales leadership, structuring ambiguous problems and carrying work from initial question through decision, launch, and adoption. You build for scale from the outset, continually simplifying operations, automating where possible, and shaping annual and in-year GTM planning on capacity, coverage, territories, quotas, and investment, in partnership with Finance, Analytics, Compensation, Enablement, Systems, and central Operations to translate Sales priorities into execution.

Atlassian offers flexible work options and hires globally wherever there is a legal entity. They are seeking a Lead Product Designer for the AI Design team to work on AI experiences across Atlassian, including Rovo, with the team primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo and collaborating across the Jira, Confluence, and Loom portfolios on applied AI, while enabling the design organization to harness AI capabilities. The role requires partnering with leadership, stakeholders, and cross-functional teams to create a unified view of AI capabilities and working with engineers, PMs, content designers, researchers, marketing experts, and analysts to advocate for the user experience and ship high-quality work. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in product experiences like Search, AI Chat, and Agents, and strong systems-thinking skills to coordinate multiple teams, synthesize feedback, facilitate design discussions, and improve processes to increase product value and adoption of new capabilities.

Atlassian offers flexible work options—office, home, or hybrid—to help employees balance family, personal goals, and other priorities. They hire in any country where they have a legal entity, and data is central, with billions of events ingested monthly and dependence on many teams to run the business. As AI systems increasingly use their data, Atlassian requires data to be clearly described, accurately classified, explicitly owned, and demonstrably trustworthy before use. Atlassian is seeking an Engineering Leader to own data governance and the enterprise context that makes data trusted and AI-ready, including the governance operating model, policy for classification/access/retention/acceptable use with Privacy, Legal, Security, and Compliance, and running data quality as a product. The role also includes shaping the technical strategy for a data catalog, metadata, and lineage platform, connecting business entities to ownership and quality signals, exposing context programmatically for agents and applications, and shifting governance left with data contracts, automated ingest classification, policy-as-code, and AI-readiness certification to gate data use while driving adoption across a federated organization.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally where it has a legal entity, empowering employees to support family and personal goals. Data is central to the business, with billions of events ingested monthly, and as AI consumes data, there is a standard for clear description, accurate classification, explicit ownership, and trustworthiness before use. Atlassian is seeking an Engineering Leader to join Data Engineering, owning data governance and the enterprise context that makes data trusted and AI-ready. The role includes owning the enterprise data governance operating model (domain ownership, decision rights, governance council, steward network) and setting policies for classification, access, retention, and acceptable use with Privacy, Legal, Security, and Compliance, while running data quality as a product and shaping the data catalog, metadata, and lineage platform. It also involves building a programmatic enterprise context linking business entities to ownership and lineage, exposing it for agents and applications, shifting governance left with data contracts and automated ingestion classification, defining AI readiness as a certifiable state, and driving adoption across a federated organization.

Atlassian offers flexible work options and hires in any country where it has a legal entity. Customer Success Managers help customers realize the value of Atlassian investments and align on strategic goals, using scalable methodologies to achieve early and sustained product adoption, solution expansion, and long-term growth, drawing on SaaS and enterprise experience. As a CSM, you’ll build trusted advisor relationships with a range of customers—from executives and admins to global teams—guiding complex journeys and delivering value across the Atlassian solution portfolio. You’ll collaborate with the account team to develop Customer Success Plans, conduct regular check-ins and Executive Business Reviews, and maintain deep product knowledge to address specific requirements. You’ll mitigate churn through early risk identification and escalation with the Account Associate, and serve as the Voice of the Customer to provide internal feedback for serving enterprise customers better.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing teams and collects millions of data points daily to power productivity insights for companies like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and recently closed on its acquisition by Atlassian, which will expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes a culture rooted in individual mastery and excellence, with top performers being highly rewarded, while noting that outcomes are influenced by factors beyond their control. In the sales role, you will prospect, qualify, and close new opportunities across defined territories, own the full sales cycle from first touch to proposal, negotiation, and close, and run proofs of concepts, demos, and business case discussions. You will also build a strong, disciplined pipeline with accurate forecasting, champion buyers through complex evaluations, translate market insights into internal product and GTM improvements, and stay current on industry trends, the competitive landscape, and the product roadmap.

The Head of Detection & Response (DnR) is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, driving strategy, execution, and measurable outcomes across cloud-first environments to prevent, detect, and respond to threats at scale and build customer trust. Atlassian supports flexible work arrangements and hires globally where they have a legal entity, enabling employees to work in-office, remote, or hybrid to accommodate personal priorities. The role owns the global detection and response strategy, roadmap, and investment plan, ties security outcomes to business risk and customer trust metrics, and builds a high-performing, multi-time-zone leadership bench with governance via OKRs, SLOs, and executive dashboards. It encompasses Detection Engineering, Incident Response and Operations, Threat Intelligence and Hunting, and Platform/Data/AI Enablement, scaling cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS, while reducing false positives, maintaining 24x7 IR with automation and playbooks, conducting blameless post-incident reviews, and developing intel fusion and hypothesis-driven hunting with measurable detections, plus responsible ML/LLM-assisted detections and human-in-the-loop controls. It also covers Risk, Compliance, and Partnering, aligning with Product Security, Corporate Security, Governance/Risk, and Security Assessments, representing DnR in executive forums, customer escalations, and external audits, and building trust through transparency and evidence.

The Head of Detection & Response (DnR) at Atlassian is a senior security engineering leader responsible for the company’s global incident detection, response, threat intelligence, and security operations programs. The role drives strategy, execution, and measurable outcomes across cloud-first environments to prevent, detect, and respond to threats at scale while building customer trust. It owns the global detection and response strategy, roadmaps, and investment plan, leads a multi-layer organization across time zones, and establishes governance with clear OKRs, SLOs, and executive dashboards. Responsibilities span detection engineering, incident response and operations, and threat intelligence and hunting, with scalable detections across identity, data, endpoints, CI/CD, containers, and SaaS, plus automation, post-incident reviews, and measurable improvements. It also covers platform, data, and AI enablement, risk and compliance partnering, and external-facing duties, and Atlassian supports flexible work arrangements while collaborating with Trust Engineering to evolve the data platform, ensure privacy-aware telemetry, and responsibly leverage ML-assisted detections with human-in-the-loop controls.

The Head of Detection & Response (DnR) is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, driving strategy, execution, and measurable outcomes to prevent, detect, and respond to threats at scale while building customer trust. Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, enabling employees to work from office, home, or a mix. Strategy and Leadership: Own the global detection and response strategy, roadmap, and investment plan, tying security outcomes to business risk and customer trust metrics, leading a multi-layer, time-zone spanning organization, and establishing governance with OKRs, SLOs, and executive dashboards. Detection Engineering, Incident Response and Operations, Threat Intelligence and Hunting: scale cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS; reduce false positives; operate 24x7 IR with automation, playbooks, and blameless post-incident reviews. Platform, Data, and AI Enablement and Risk, Compliance, and Partnering: collaborate with Trust Engineering to evolve the security data platform with privacy-preserving telemetry and lineage; use ML/LLM-assisted detections and triage with human-in-the-loop controls; align with Product Security and Governance teams while representing DnR in executive forums, customer escalations, and audits.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where there is a legal entity, supporting personal goals and family needs. The company seeks a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI and Agent Platforms. The role champions a Platform-as-a-Product mindset, defining platform evolution, developer experience, API standards, SDKs, runtime guardrails, and adoption pathways for both internal squads and external partners. You will orchestrate multi-quarter roadmaps for agent execution loops, semantic memory, tool/skill orchestration, and policy-driven model routing, oversee large-scale migrations with zero user disruption, and drive operational excellence with SLOs and end-to-end observability. You will also govern AI economics and efficiency, ensure enterprise trust and compliance (multi-region data residency, privacy controls, AI safety guardrails), align leadership through structured rhythms, and mentor other TPMs to raise platform thinking and execution excellence.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires globally wherever the company has a legal entity. The role is with the Spark Growth team responsible for top-of-funnel customer acquisition, experimentation, personalization, and building AEO/SEO features to help millions discover Atlassian products. You will lead and develop engineers, foster an inclusive culture, partner with Talent Acquisition, monitor team health, and own multiple top-of-funnel delivery outcomes with agile improvements. You will provide technical leadership, guide architecture and strategy, establish AEO methodologies, champion engineering excellence, and ensure system resilience and scalability. Spark offers meaningful early impact, data-driven decision making, and collaboration with teams, and requires 5+ years of experience managing software engineering teams, a CS degree or equivalent, plus a background in distributed systems, cloud infrastructure, developer tooling, and experience with AI/ML and collaboration with PMs and designers.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where the company has a legal entity. The role is with the Spark Growth team, focusing on large-scale experimentation for top-of-funnel acquisition, personalizing experiences, and building AEO/SEO features to help millions discover and sign up for Atlassian products. People leadership and team health responsibilities include mentoring engineers, building an inclusive, high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being and sustainability. Delivery and technical leadership involve owning team outcomes across multiple top-of-funnel workstreams, making prioritization trade-offs, refining agile processes, guiding architecture and technical strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark? You’ll have meaningful early impact, collaborate to deliver personalized outcomes, and rely on data-driven decision making with metrics tied to customer and business results; the role requires 5+ years of experience leading software engineering teams, a CS degree or equivalent, strength in distributed systems and cloud platforms, and experience with AI/ML systems and cross-functional collaboration to shape strategy.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. The role sits on the Spark Growth team, focused on scalable experimentation for top-of-funnel customer acquisition and building AEO/SEO features that help millions discover Atlassian products. You will lead and develop a team of engineers, build a high-performing, inclusive culture, partner with Talent Acquisition to hire diverse talent, monitor team health, and own the delivery of multiple top-of-funnel workstreams with measurable value. You will provide technical direction, establish AEO methodologies, champion engineering excellence (design reviews, testing, CI/CD, documentation, and AI usage), and guide architecture for scalability, modularity, and resilience. Requirements include 5+ years of experience managing software engineering teams, a CS degree or equivalent, a strong background in distributed systems/cloud infrastructure, experience with applied AI/ML, and proven ability to collaborate with product managers, TPMs, and designers.

- Atlassian supports flexible work options (office, remote, or hybrid) and hires in any country where the company has a legal entity. - The role resides on the Spark Growth team, focusing on customer acquisition through experimentation and building AEO/SEO features on top-of-funnel surfaces to help millions discover Atlassian products. - It includes people leadership responsibilities—mentoring engineers, fostering an inclusive, high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health. - You will own delivery outcomes across multiple top-of-funnel workstreams, optimize priorities and processes, and provide technical leadership and architecture while establishing AEO methodologies and maintaining engineering excellence and system resilience. - The ideal candidate has 5+ years of experience leading software engineering teams, a CS degree (or equivalent), strong background in distributed systems and cloud infrastructure, experience with applied AI/ML systems, and a track record of collaborating with product managers and designers to shape strategy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control to support family and personal goals. The role presents a rare opportunity to shape how Atlassian’s brands are structured, positioned, and experienced across the portfolio, including new brand positioning, portfolio unification, AI brand system evolution, and running the Brand Intelligence Engine. You’ll have a high-impact, high-ownership role, working directly with leaders in Marketing, Product, Design, and Research to contribute to brand architecture and ensure cohesive customer experiences across journeys. Must-haves include 8+ years of deep brand strategy, experience building brands inside a product-led company or multi-brand B2B SaaS, expertise in brand intelligence/AI-assisted research, the ability to influence senior technical stakeholders, and note that this is a brand strategist role focused on turning strategy into action, not brand/content marketing. The team treats the brand as a shared asset, partners early with product, design, and marketing, and aims for a single coherent brand point of view across all channels, environments, and product experiences.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity to help staff balance family, personal goals, and priorities. The company is seeking a Product Manager with a passion for AI-powered conversational experiences to lead Rovo Chat, its AI-driven interface that helps teams discover knowledge and work smarter. The role sits in the Central AI team and involves shaping the strategic vision and roadmap for Rovo Chat, prioritizing opportunities to grow adoption and user engagement (MAU) in line with Atlassian's AI strategy. You will drive the creation of intelligent chat experiences that connect users to knowledge across first-party sources (Jira, Confluence, Bitbucket) and third-party tools (Google Drive, Slack, GitHub, Salesforce, etc.), advancing multi-turn conversation quality, context awareness, memory, and proactive assistance; and partner with engineering, design, data science, GTM, and enterprise teams to deliver features from ideation through launch, with rigorous program management. You will define success metrics for chat quality and adoption, and champion responsible AI practices to ensure safe, transparent, and inclusive conversational experiences.

At Atlassian, employees can choose where to work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity, supporting family and personal priorities. They are seeking a Product Manager with a passion for AI-powered conversational experiences to drive Rovo Chat, Atlassian’s AI-driven interface for discovering knowledge and taking action across the digital workplace. The role sits in the Central AI team and will shape how millions of users interact with AI across Atlassian’s product suite, focusing on vision, strategy, and execution for Rovo Chat. Core responsibilities include developing the product roadmap, identifying opportunities to grow Chat adoption and MAU, and delivering intelligent chat experiences that connect users to knowledge from Jira, Confluence, Bitbucket and external sources like Google Drive, Slack, GitHub, and Salesforce, with improvements in memory and proactive assistance. It also requires cross-functional collaboration, program-level execution, and defining metrics for chat quality, adoption, and responsible AI practices to ensure safe, transparent, and inclusive experiences.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where we have a legal entity to support family and personal goals. The role focuses on Atlassian Government Cloud (FedRAMP Moderate) for US Public Sector, aiming to build a scalable product roadmap using a build-once, authorize-many approach. The team defines the end-to-end roadmap, partners with platform, product engineering, security, risk & compliance, legal, and GTM, engages with agency sponsors to validate requirements and support migrations, and shapes pricing, packaging, and marketplace readiness for federal procurement. The Product Manager will co-create and sequence the roadmap, translate regulatory controls into product requirements, drive cross-functional execution, gather agency feedback, and lead pricing and launch readiness, while serving as SME on public sector needs and compliance realities. On day one, the role requires B2B SaaS product management experience with a focus on platform, security, or compliance, plus US public sector or regulated enterprise experience, cloud infrastructure understanding, and a proven ability to lead cross-functional initiatives; nice-to-have items include FedRAMP lifecycle experience, 3PAO or GSA/FedRAMP PMO exposure, knowledge of NIST SP 800-53/RMF/CMMC, and experience enabling third-party apps in regulated cloud environments.

Atlassian offers flexible work options and global hiring. The Senior Manager will build and mature the Government Cloud release components, lead a team of engineers, own the end-to-end release process, and participate in hard launch decisions. Responsibilities include owning release planning, readiness, cutover, rollback, managing the release calendar and go/no-go criteria, and serving as the escalation point for incidents while defining "ready to ship" and ensuring auditable processes. You'll lead 10-15 engineers, set performance and development expectations, build resilience to avoid single points of failure, and drive a multi-quarter roadmap with trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback; partner with other platform teams to scale tooling and reduce toil. You will collaborate across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, communicate risk and decisions to leadership, run blameless post-release reviews, and ensure releases meet change management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The Senior Manager will build and drive Government Cloud platform components, lead a 10–15 engineer team, own the go/no-go framework, and shift from continuous delivery to operator-approved releases, with hands-on leadership. Responsibilities include owning the Government releases process (planning, branch/versioning, readiness, cutover, rollback), running the release calendar and dependency map, and defining “ready to ship” criteria, including escalation for release-impacting incidents. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. Collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance will align release readiness with launch readiness, with clear communication to senior leadership, blameless post-release reviews, and adherence to change-management/audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The Senior Manager for Government Cloud will build and mature end-to-end release components and lead a team to shift from continuous delivery to operator-approved releases. Responsibilities include owning the release process (planning, branching and versioning strategy, readiness, cutover, verification, and rollback) and go/no-go criteria, and serving as the escalation point for release incidents. You will manage 10-15 software engineers, set expectations, grow the team, and drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout, automated release gates, and one-click rollback. You’ll partner with cross-functional teams (Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, Legal/Compliance), communicate status to senior leadership, run blameless post-release reviews, and ensure releases are compliant and auditable (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The Senior Manager will build and drive Government Cloud platform components with a hands-on leadership approach, focusing on end-to-end release processes and moving toward operator-approved releases. Responsibilities include owning the release process for government releases, establishing go/no-go criteria, managing the release calendar, and serving as the escalation point for release-impacting incidents while ensuring readiness and rollback plans. The role will manage a 10-15 person software engineering team, set strategy and roadmaps to reduce release risk and cycle time using practices like trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, and will partner with other platform teams. The position requires coordinating with cross-functional teams, communicating status and decisions to senior leadership, conducting blameless post-release reviews, and ensuring compliance with change management and audit standards (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

- Atlassian supports flexible work locations and hires in any country where it has a legal entity, enabling work-life balance for its employees. - The Senior Manager role will build and drive Atlassian Government Cloud platform components, focusing on end-to-end release processes and shifting from continuous delivery to operator-approved releases, with hands-on leadership. - You will own the Government release process (planning, versioning, readiness, cutover, rollback), manage the release calendar and go/no-go criteria, and serve as the escalation point for release-related incidents. - You will lead a 10–15 software engineers, set strategy, and drive a multi-quarter roadmap to reduce release risk using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. - You’ll collaborate across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work arrangements (office, home, or a mix) and hires globally wherever there is a legal entity, enabling Atlassians to balance family, personal goals, and priorities. The Senior Manager will build and mature the Government Cloud platform release components, lead a 10–15 person engineering team, own go/no-go decisions, and be in the room for hard launch calls with hands-on leadership. Responsibilities include owning the release process for Government releases (planning, branch/versioning, readiness, cutover, verification, rollback) and managing the release calendar and dependencies, making trade-offs when timelines, quality signals, and commitments collide. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. The role requires collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, conducting blameless post-release reviews and ensuring releases are compliant and auditable (SOC 2, ISO 27001, FedRAMP, PCI, SOX as applicable) without turning delivery into excessive paperwork.

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.

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.

Atlassian offers flexible work locations and global hiring in countries where it has a legal entity, allowing employees to balance family and personal priorities. Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. TDP SQL is the managed relational database platform that enables engineers to build applications on relational databases without managing underlying infrastructure, availability, security, scaling, or enterprise controls themselves. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, incident response, and compliance; guiding architectural direction across clouds; managing cross-functional dependencies and cost; and delivering measurable outcomes with emphasis on platform adoption and enterprise requirements.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, giving employees more control over family and personal priorities. Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, compliance, backup/recovery, and multi-cloud operations. TDP SQL is a managed relational database platform that lets engineers build applications on relational databases without managing the underlying infrastructure or enterprise controls. Atlassian is hiring a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to partner with engineering, product, security, and infrastructure groups. The role emphasizes building an inclusive, high-performing team, defining strategy and roadmaps, ensuring reliability and customer trust, guiding architectural direction across clouds, and managing cost, capacity, and cross-functional dependencies.

Atlassian offers flexible work options and can hire globally; its Trusted Data Platform (TDP) provides secure, scalable data storage, and TDP SQL is its managed relational database platform. The company is seeking a Senior Engineering Manager to lead the TDP SQL team and be accountable for the team's people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations. Responsibilities include building an inclusive, high-performing team, with effective hiring, onboarding, talent development, succession planning, and clear operating practices to support predictable execution and reduce technical debt. They must define and execute the TDP SQL strategy and roadmap, translate enterprise and product needs into measurable outcomes, own reliability and compliance, establish SLAs and incident response, and ensure data residency, encryption, backup/recovery, and multi-cloud operability. The role also requires cross-functional leadership to manage costs, drive platform adoption, govern architectural direction across clouds, and make investment decisions that balance customer trust with sustainable value.

- Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. - Its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage that meets enterprise needs such as data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operation. - TDP SQL is Atlassian’s managed relational database platform, enabling engineering teams to build applications on relational databases without managing underlying infrastructure, security, or scalability themselves. - The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, program, infrastructure, security, and product organizations to evolve the platform. - Success involves building a strong engineering organization, operating a highly reliable platform, improving adoption and interoperability, maintaining compliance and cost efficiency, and translating complex requirements into clear roadmaps.

Atlassian offers flexible work options and global hiring, with its Trusted Data Platform (TDP) providing secure data storage and TDP SQL as a managed relational database platform used by product and platform teams. The company seeks a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure, security, and product organizations to make TDP SQL a dependable, easy-to-adopt internal platform. Key responsibilities include leading and developing engineers and managers, building an inclusive, high-performing team, managing capacity and technical debt, and establishing operating practices for predictable execution and continuous improvement. The role requires defining and executing the TDP SQL strategy and roadmap, translating enterprise and product requirements into measurable outcomes, surfacing delivery risks early, increasing platform adoption, and owning reliability, security, data residency, backup/recovery, disaster recovery, and compliance. It also involves architectural leadership across multiple clouds, balancing near-term delivery with platform simplification, managing cross-functional dependencies and costs, and making investment decisions that prioritize customer trust, platform value, and sustainable cost efficiency.

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.

This role is Principal Data Scientist on the Global Experiences Data Science team at Atlassian, reporting to the Manager of Global Experiences Data Science, focused on shaping how millions of users experience Atlassian’s products. You’ll lead the full data science lifecycle—from defining questions and building robust models to influencing product strategy and communicating insights to senior leaders—acting as a force multiplier by partnering with Product, Engineering, and Design. You’ll define and drive the data science strategy for your product area, translate ambiguous business problems into rigorous analytical frameworks, and lead end-to-end development of ML models and analyses, including data acquisition, experimentation, deployment, and ongoing evaluation. You’ll own experimentation infrastructure and methodology (A/B test design, power analysis, interpretation at scale), identify high-impact opportunities through exploratory analysis, and serve as the technical authority for data science while mentoring others and contributing to hiring. You’ll communicate findings to senior stakeholders and executives, collaborate to define metrics frameworks (north star and guardrail metrics), and drive best practices in feature engineering, model monitoring, and responsible AI across teams.