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Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Engineer role is to design, build, and operate Atlassian's foundational data platform that powers analytics across Jira, JSM, and Confluence, as well as products like Atlassian Analytics, the Teamwork Graph (TWG), and AI-native capabilities like Rovo. Responsibilities include end-to-end ownership of core data platform components across streaming ingestion (Flink) and MPP query/serving (StarRocks), from technical design to launch. The role emphasizes operational excellence in production—reliability, performance tuning, cost management, and data quality/observability—while tackling complex architecture challenges and driving standards. You will also lead code reviews and documentation, address high-risk bugs, collaborate with multiple teams, set review standards, and mentor junior engineers.

Atlassian supports flexible work options—office, remote, or a mix—and hires people in any country where the company has a legal entity to help staff balance family, personal goals, and other priorities. The Senior Product Manager will lead critical areas of IT Operations and Incident Management, identifying customer and business problems that make incidents difficult to detect, resolve, and learn from, and translating those insights into a focused product strategy and end-to-end execution for IT and Developer teams across the incident management journey, using a thoughtful mix of AI-powered and non-AI capabilities. You’ll define and execute strategy for high-impact areas within Incident Management, identify pain points through research and data, prioritize opportunities that improve incident outcomes and create value, balance AI investments with reliable non-AI features, and partner with Engineering, Design, Data Science, Research, Marketing, Sales, Support, and Customer Success while engaging directly with customers to validate problems and measure impact. You’ll help JSM and Service Collection grow by increasing customer value, adoption, engagement, retention, and expansion within IT Operations, delivering better incident outcomes, enabling stronger cross-functional collaboration, and applying AI where it meaningfully reduces effort while preserving transparency, control, and trust to support smarter operations and business growth. Requirements include 10+ years of experience building and launching successful B2B or SaaS products, strong customer empathy for Enterprise and SMB, comfort in technically complex spaces, practical understanding of AI-enabled product development, strong analytical and stakeholder-management skills with the ability to influence across teams and at senior levels, excellent communication, a bias toward action, strong product judgment, and the ability to make progress through ambiguity; success means delivering a clear, evidence-based strategy for Incident Management, trusted experiences during critical incidents, improved outcomes for IT and Developer teams, and sustainable growth for Service Collection.

Atlassian offers flexible work locations and can hire in any country where it has a legal entity. They are seeking a Senior Product Manager to lead IT Operations and Incident Management, identifying customer and business problems that make incidents hard to detect, resolve, and learn from, and turning those insights into strategy and execution for IT and Developer users using a mix of AI-powered and non-AI capabilities. Responsibilities include defining and executing strategy for high-impact areas within Incident Management, identifying pain points across Enterprise and SMB, prioritizing opportunities that improve incident outcomes while delivering value, balancing AI with reliable non-AI capabilities, and partnering with cross-functional teams while engaging directly with customers to validate problems and measure impact, with a goal to grow JSM and Service Collection in IT Operations. The role aims to deliver better incident outcomes, stronger cross-functional collaboration during high-pressure events, smarter operations with transparent AI usage, and business growth for the platform. Requirements include 10+ years of B2B/SaaS product management experience, strong customer empathy for Enterprise and SMB, comfort with technically complex spaces, practical understanding of AI-enabled product development, analytical and outcome-focused mindset, excellent communication and stakeholder-management skills, bias toward action, and the ability to operate in ambiguity; success means building an evidence-based strategy, delivering trusted incident experiences, improving IT and Developer outcomes, and contributing to growth of Service Collection.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support work-life balance and priorities. The Senior Product Manager will lead critical areas of IT Operations and Incident Management, translating customer and business problems into focused product strategy and execution for both IT and Developer teams. Responsibilities include defining strategy for incident management, identifying pain points through research and data, prioritizing opportunities, balancing AI with non-AI capabilities, partnering with engineering, design, data science, and other teams, and engaging with Enterprise and SMB customers to validate problems and measure impact, with a goal of growing JSM and Service Collection. Expected impact includes better incident outcomes, stronger cross-functional collaboration during high-pressure events, smarter operations that use AI where meaningful while preserving transparency, and business growth for the platform. Requirements include 10+ years of B2B/SaaS product leadership, strong customer empathy for Enterprise and SMB, comfort with technical spaces, practical AI understanding, strong analytical and communication skills, bias toward action, and the ability to operate in ambiguity, with success measured by delivering trusted incident experiences and sustainable growth for Service Collection.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, giving employees control over family, personal goals, and priorities. - As a Senior Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver innovative, 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 to solve complex, real-world problems, collaborating with product, engineering, and design to grow technical and domain expertise while impacting business outcomes. - Responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, building robust integrations, enabling AI-augmented workflow automation, and overseeing end-to-end production deployment with monitoring and ongoing improvement, while navigating risk and compliance (AI risk assessment, GDPR). - You’ll mentor Senior FDEs and engineers, communicate complex technical concepts to technical and non-technical stakeholders, and align technical solutions with business objectives to set a clear vision and measurable results.

Atlassian offers flexible work options and hires in any country where they have a legal entity, enabling employees to balance family and personal goals. The Senior Principal Forward Deployed Engineer (FDE) role places you at the forefront of applied AI, partnering with customers and cross-functional teams to deliver AI-powered solutions and influence business outcomes. You will code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo, and architect robust integrations with Python, JavaScript, and other enterprise-scale systems. You’ll drive product direction by working with customers, promote AI-augmented workflow automation, oversee end-to-end production deployments, and navigate risk, data privacy, and regulatory compliance. You’ll also mentor other FDEs and engineers, translate complex technical concepts for diverse stakeholders, and align technical solutions with clear business objectives.

Atlassian supports flexible work arrangements with fully remote roles that require you to be located within Australia/New Zealand and hires in any country where they have a legal entity. The Growth Organization helps users discover, try, adopt, and derive value from Atlassian products by combining product thinking, platforms, and data analysis to drive experimentation and engagement. As a Senior Principal Engineer in Growth, you’ll shape platforms that support new and upgraded customer flows, define technical strategy, and drive the Atlassian AI transformation toward agent-native systems of record. The Growth Monetization team focuses on optimizing services and customer experiences from first contact to purchase, while maintaining high standards of operational excellence, performance, reliability, and data security. The role requires 12+ years in large-scale distributed systems with at least 4 years of architectural leadership, and preferred qualifications include cross-team technical direction, major architectural initiatives, cloud experience, mentoring, and a track record of scalable system design.

Atlassian supports flexible work arrangements, allowing office, remote, or hybrid work, and hires in any country with a legal entity; this role is fully remote but must be located in Australia or New Zealand. The Growth Organization helps users discover, try, adopt, and derive value from Jira, Confluence, Loom, and the Teamwork Collection through a mix of product thinking, platforms, and data analysis to drive experimentation and long-term customer value. As a Senior Principal Engineer in Growth, you will shape the platforms that support new and upgraded customer flows, define technical strategy, and drive Atlassian's AI transformation to make our products an agent-native system of record. The Growth Monetization team optimizes services and experiences across Atlassian core products, contributing to revenue by designing and testing customer interactions from first contact to purchase, while you own the technical evolution, roadmaps, operational excellence, and mentorship across teams. Basic qualifications include a Bachelor's or Master's in CS (or equivalent) with 12+ years of experience building large-scale distributed systems and at least 4 years in architectural oversight; preferred qualifications include department-level technical leadership, major architectural initiatives, experience with SaaS/PaaS/IaaS and public clouds (AWS or GCP), fluency in modern OO languages, mentoring, and the ability to operate in ambiguous environments.

Atlassian lets employees work where they want—office, remote, or a mix—and hires in any country where it has a legal entity. The Future Team serves more than 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and is advancing humanity through software that unlocks every team’s potential. The team is value-driven, collaborative, and passionate about helping customers achieve transformational outcomes, celebrating wins, sharing knowledge, and supporting each other. In this role you will drive strategic engagement with enterprise and strategic customers, build executive relationships as a trusted advisor through onboarding, adoption, and value realization, guide customer journeys with predictive signals and frameworks to identify milestones and risks, and deliver value at scale via webinars and targeted outreach while maintaining product and industry expertise. You will mitigate churn risk, champion customer advocacy as the voice of the customer, and maintain operational excellence with accurate Gainsight records and adherence to engagement frameworks, contributing to continuous improvement.

At Atlassian, work options are flexible—office, home, or a combination—and the company hires people in any country where it has a legal entity. With over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian aims to advance humanity through software that unlocks the potential of every team, and the team itself is described as value-driven, collaborative, and supportive. In this role, you will own a portfolio of enterprise and strategic customers, build executive relationships, and serve as a trusted advisor through onboarding, adoption, and value realization. You will guide customer journeys using predictive signals and standardized frameworks to identify milestones, adoption opportunities, and risks, delivering value at scale through webinars and curated outreach while maintaining knowledge of products and industry trends and mitigating churn risk. You will champion the Voice of the Customer, share insights to influence Atlassian’s products and services, maintain accurate records in Gainsight, adhere to engagement frameworks, and contribute to continuous improvement initiatives.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The Principal Customer Success Manager in the Enterprise Segment helps customers realize value from Atlassian by driving adoption, solution expansion, and long-term growth using scalable methodologies across products. The role requires building relationships with C‑suite executives and global teams to guide complex customer journeys and deliver proactive, best-practice engagement for value realization. You will develop trusted advisor relationships, create Customer Success Plans with the account team, and navigate complex, multi-partner implementations to meet enterprise needs. Responsibilities include driving early and sustained adoption, executing adoption strategies for high-value accounts, mitigating churn, and acting as the Voice of the Customer to inform product and service improvements for strategic customers.

- Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires globally where they have a legal entity. - The Principal Customer Success Manager in Enterprise helps customers realize value from Atlassian by delivering scalable methodologies for product adoption, solution expansion, and long-term growth, while building executive relationships. - The role requires cross-product expertise to guide complex customers and engage across multiple partners and teams to maximize value realization. - The team serves over 300,000 customers (including NASA, IBM, HubSpot, Samsung, and Coca-Cola) and emphasizes delivering enterprise solutions through teamwork and value. - Key responsibilities include developing trusted advisor relationships with C-suite, creating Customer Success Plans, navigating complex implementations, driving adoption strategies, mitigating churn, and acting as the Voice of the Customer to feed feedback to Atlassian.

- Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and priorities. - DX, headquartered in Salt Lake City, is a fast-growing SaaS company that helps engineering leaders boost team performance through data-driven insights, serving clients like Pinterest, GitHub, BNY, and Xero, and it recently closed an acquisition by Atlassian to accelerate growth and impact. - At DX, the core value is mastery—being the best at your craft—with strong rewards for those who excel, while outcomes remain partly outside controllable factors. - They are seeking a regional APAC sales leader to build elite sales teams, navigate complex enterprise deals, and drive predictable revenue at the highest level. - The role involves leading Account Executives across Strategic, Enterprise, and Midmarket in APAC, setting vision and strategy, managing pipeline and forecasting, building executive relationships, partnering with CS/Marketing/Product, and recruiting, coaching, and retaining top talent.

- Atlassian allows Atlassians to work from an office, home, or a mix, giving them control over family, personal goals, and priorities. - The text centers on DX, a Salt Lake City-based fast-growing SaaS company that helps engineering leaders improve productivity, collects vast data for insights, grew profitably, and was acquired by Atlassian to accelerate growth and impact for customers. - DX emphasizes mastery and high performance as core values, recognizing that external factors can affect outcomes but focusing on delivering work at the highest level. - They are seeking a regional sales leader to own and grow APAC customer relationships, build elite sales teams, navigate enterprise deals, and drive predictable revenue. - The role entails leading a multi-segment APAC Account Executive team, setting vision and execution, managing pipeline and forecasting, cultivating executive-level relationships, partnering with CS/Marketing/Product, and recruiting and coaching talent.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. They’re looking for a Solutions Engineer to grow their enterprise ITSM team in the US, responsible for solving customers’ hardest problems and closing large enterprise deals alongside enterprise sales and channel partners. The role includes strategizing to win sales cycles, delivering compelling value-based demonstrations, supporting proofs of concepts, and closing business for customer-obsessed performers. Atlassian emphasizes value selling and teamwork, with customers including NASA, IBM, Hubspot, Samsung, and Coca-Cola, and employees work with Atlassian, not for Atlassian, while pursuing opportunities in cloud and AI. Key duties include specializing in ITSM offerings, collaborating cross-functionally to drive the customer journey, mapping client requirements to Atlassian capabilities, aligning with sales to achieve customer outcomes, delivering presentations and proofs of concept, and feeding customer feedback to product management.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working with enterprise sales and channel partners to understand customer needs and close large enterprise deals. - The role involves strategizing sales cycles, delivering value-based demonstrations, supporting proofs of concept, and maintaining a customer-obsessed, high-performing mindset. - The team serves over 250,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling and a culture of teamwork where employees work with Atlassian, not for Atlassian. - Responsibilities include specializing in Atlassian ITSM offerings, collaborating cross-functionally to drive the customer journey, mapping client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and POCs, and feeding customer feedback to product management.

Atlassians can choose where they work—office, home, or a hybrid—giving them greater control over family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. As the DX Sales Enablement Specialist, you will own the delivery engine that makes enablement programs repeatable, usable, and scalable. Responsibilities include building, maintaining, and administering AE and SDR onboarding content, learning paths, schedules, checklists, and certifications; facilitating onboarding sessions and role plays; managing logistics; maintaining the AE onboarding hub and enablement content libraries; and creating and updating playbooks, job aids, battle cards, learner guides, training decks, and just-in-time resources; plus coordinating the monthly go-to-market enablement cadence with PMM, Product, Marketing, and Sales. You will gather participant and manager feedback, report on completion, attendance, certification, adoption, and content usage; support GTM and product launches with learner-facing materials and coordination; build and operate the SDR enablement program once the shared AE foundation exists; and assist other priority enablement initiatives as business needs arise.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity. In this DX Sales Enablement Specialist role, you will own the delivery engine to make enablement programs repeatable, usable, and scalable. Primary duties include building and maintaining AE and SDR onboarding content, learning paths, schedules, checklists, and certifications, facilitating onboarding sessions and skills training, and managing program logistics. You will maintain the AE onboarding hub, enablement content library, Confluence resources, and Gong library, and create playbooks, job aids, battle cards, learner guides, training decks, and just-in-time resources, while coordinating the monthly GTM cadence with PMM, Product, Marketing, and Sales. You’ll gather participant and manager feedback, report on completion, attendance, certification, adoption, and content usage, support launches with learner-facing materials, build the SDR program after the AE foundation, and assist with other priority enablement initiatives as needed.

The role is Principal Machine Learning Engineer responsible for driving the development and implementation of cutting-edge ML algorithms, training sophisticated models, and embedding AI capabilities into Atlassian products in collaboration with product, engineering, and analytics teams. It requires designing system and model architectures, conducting rigorous experimentation and evaluations, and guiding junior ML engineers to ensure AI's transformative potential is realized across offerings. Technical leadership involves driving complex decisions, tackling the largest problems, setting direction for systems and capabilities, and planning large projects across quarters. Model development responsibilities include designing and deploying production-grade ML models (ranking, retrieval, LLM-based systems), conducting data-backed experimentation, robust feature engineering, and end-to-end deployment with continuous evaluation and monitoring. Cross-functional collaboration and mentorship entail working with product managers, designers, and engineers to integrate AI across products; guiding company-wide programs; communicating technical concepts clearly; mentoring and scaling programs; and making decisions by balancing speed, risk, and impact to fit into larger products and platforms.

The Principal ML Engineer leads the development and deployment of AI capabilities in Atlassian products, guiding system and model architectures, experimentation, and collaboration with product, engineering, and analytics teams. They provide technical leadership and execution by tackling the largest and most complex problems, setting direction for systems and capabilities, and planning multi-quarter architecture initiatives. They design, develop, and deploy production-grade ML models (including ranking, retrieval, and LLM-based systems), conduct rigorous experiments, build robust feature pipelines, and oversee end-to-end production deployment with continuous evaluation. They collaborate across functions with product managers, designers, and engineers to integrate AI/ML into products, align company-wide programs, and translate complex concepts for technical and non-technical stakeholders. They mentor and coach engineers, foster innovation and learning, contribute to scalable department programs, and make decisions by balancing speed, risk, and impact while ensuring that multiple capabilities fit into larger products and platforms.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family and personal goals. They hire in any country with a legal entity, but this role is fully remote and must be located in US Pacific or Mountain time zones. They are seeking a Fullstack Software Engineer focused on delivering creative improvements for engineering teams. The role involves building REST APIs that power core customer experiences and developing customer-facing React components. It also includes configuring monitoring for backend services, building CI/CD pipelines, integrating with a content management system, and delivering reliable features.

Atlassian offers flexible work arrangements—employees can work in an office, from home, or a hybrid setup to support personal goals and family priorities. They can hire people in any country with a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. The company is looking for a Fullstack Software Engineer to join the team, aiming to deliver creative improvements for engineering teams. Responsibilities include building REST APIs that power core customer experiences and creating customer-facing React components. You will also configure monitoring for backend services, build CI/CD pipelines, develop integrations with their content management system, and build features with reliability in mind.

At Atlassian, employees can work in an office, from home, or a mix, to better support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The Back End Software Engineer role is fully remote but must be located in the US Pacific or Mountain time zones. The role focuses on delivering creative improvements for engineering teams. Responsibilities include building REST APIs for core customer experiences, configuring monitoring for backend services, building CI/CD pipelines, developing CMS integrations, and delivering features and services with reliability in mind.

Atlassian offers flexible work locations, including office, home, or a combination, to help employees support family and personal goals. They can hire people in any country where they have a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. They are looking for a Back End Software Engineer to deliver creative improvements for their engineering teams. Responsibilities include building REST APIs powering core customer experiences, configuring monitoring for backend services, and building CI/CD pipelines. Additional duties involve developing integrations with their content management system and creating features and services with reliability in mind.

Atlassian lets you work wherever you want—office, home, or a mix—hiring in any country where the company has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The company is looking for a Solutions Engineer to grow the ITSM Specialist team in the US, collaborating with enterprise sales and channel partners to understand customer needs, navigate sales cycles, provide value-based demonstrations, support proofs of concept, and close deals. With over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian focuses on value selling and creating enterprise solutions that combine products to transform customer outcomes. Atlassian emphasizes a “play as a team” culture, supporting one another, sharing knowledge, and having employees work with the company rather than for it, while offering high earnings potential tied to enterprise opportunities in cloud and AI. In this role you will specialize in Atlassian’s ITSM offerings, design and optimize solutions for enterprise customers, work cross-functionally to map client requirements to Atlassian capabilities, align account plans with sales, deliver compelling presentations and PoCs, and provide customer feedback to product management.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working directly with enterprise sales teams and channel partners to understand customer needs. The role involves strategizing on winning sales cycles, delivering value-based demonstrations, supporting enterprise proofs of concept, and closing large enterprise deals for customer-obsessed buyers. The future team serves over 250,000 customers (including NASA, IBM, HubSpot, Samsung, and Coca‑Cola), emphasizes value selling and a collaborative “play as a team” culture, and offers high earnings potential from enterprise opportunities in cloud and AI. Key responsibilities include specializing in Atlassian’s ITSM offerings, collaborating cross-functionally to map client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and PoCs, and providing customer feedback to product management.

- Atlassian offers flexible work options (office, remote from home, or hybrid) and hires in any country where they have a legal entity. - The role is a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS. - You’ll work end-to-end on features, from shaping vague problem statements with product and design to shipping high-quality code and measuring impact. - Responsibilities include building backend-heavy features and robust REST APIs, contributing to customer-facing React components, and conducting code reviews with emphasis on readability, testing, reliability, security, and performance, while ensuring monitoring and error reporting. - The position involves Agile participation, close collaboration across product, design, and engineering, writing performant SQL for complex queries, owning projects end-to-end, and contributing to engineering practices around data correctness and reliability.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity. The role is a senior full-stack engineer on the DX team, comfortable with Ruby on Rails and raw SQL as well as React and TailwindCSS. You will own end-to-end features—from clarifying vague problem statements with product and design to shipping high-quality code and measuring impact—in a highly scalable, cross-geo environment. Responsibilities include building robust REST APIs and customer-facing UI, code reviews focused on readability, testing, documentation, reliability, and performance, plus monitoring and collaborating with product and design to refine requirements. You will participate in Agile ceremonies, write performant SQL for complex queries and data workflows, ensure end-to-end ownership, and contribute to engineering practices and tooling around data correctness, reporting, and reliability.

At Atlassian, you can choose where to work—office, home, or a hybrid arrangement—but this remote role requires being located in the UK, and visa sponsorship is not available; candidates must have the right to work in the UK or Netherlands. The role is for Sales Development Representatives who partner with the Sales and Success Account Teams, report to a Sales Development Manager in EMEA, and focus on the DACH market within the Strategic segment. You’ll be accountable for outbound prospecting, quota carrying, and converting prospects into pipeline, while qualifying leads through proactive outreach and research. Responsibilities include cold calls, emails, and other outreach to engage decision makers, collaborating with sales, marketing, partners, and operations to develop lead-generation strategies, navigating objections with value-driven messaging, and articulating the product’s value proposition. You’ll build your pipeline with Enterprise Advocates and Enterprise Marketing, use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator, and leverage AI to improve research, execution, and analysis.

Atlassian offers flexible work options—office, home, or a mix—and this remote role requires you to be located in the UK; visa sponsorship is not available, and candidates must have the right to work in the UK or Netherlands without sponsorship. The position is for a Sales Development Representative in the EMEA region, focusing mainly on the DACH market for the Strategic segment, and you will report to a Sales Development Manager in EMEA. You will be responsible for outbound prospecting with quota-bearing duties, driving pipeline by qualifying leads through proactive outreach and research, and conducting cold calls and other outreach to engage decision makers. You will collaborate with sales, marketing, partner, and operations teams to develop lead-generation strategies, navigate objections with value-driven messaging, and articulate the value proposition of Atlassian’s products to customers. You will build your pipeline with Enterprise Advocates and Enterprise Marketing, use tools like Salesforce, Gong, Outreach, and LinkedIn Navigator, and leverage AI to increase efficiency in research, execution, and analysis.

Atlassian offers flexible work options and this role is remote but must be located in the UK. The company cannot sponsor visas, so candidates must have the right to work in the UK or Netherlands without sponsorship. The role sits within the Sales Development Representatives, partnering with the Sales and Success Account Teams to build the sales pipeline and deliver a delightful customer experience, reporting to a Sales Development Manager in EMEA, with a focus on the DACH market in the Strategic segment. You’ll be accountable for outbound prospecting, quota carrying, converting opportunities into pipeline, qualifying leads through proactive outreach and research, and conducting cold calls and emails to engage decision-makers. You will collaborate with sales, marketing, partner and operations teams to develop lead generation strategies, navigate objections with value-driven messaging, articulate the product value proposition, build personalized emails, and develop your pipeline using Enterprise Advocates and Enterprise Marketing, while leveraging Salesforce, Gong, Outreach, LinkedIn Navigator and AI to improve efficiency.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity; this role is remote but requires the candidate to be based in the UK to help teams collaborate effectively. - Atlassian is on a mission to reinvent B2B selling, with a fast-growing, multi-billion business focused on delighting customers and removing friction to drive sales and adoption. - The role is highly visible and will be a strategic partner to Senior Sales Leadership, supporting EMEA Account Executives and partnering with leaders and Revenue Operations to drive operational excellence and accelerate revenue growth, bridging from a business intelligence analyst up to the C-suite. - Responsibilities include Field Partnership & Insights, Forecasting & Pipeline Management, Coverage, Target, and Capacity Planning, Sales Process Design & Optimization, and Sales Excellence Evangelism, with opportunities to implement AI and automation and to support QBRs, compensation tracking, and cadence for the sales organization. - The ideal candidate thrives in a high-growth, collaborative environment, blends operational rigor with enterprise SaaS go-to-market motions, and can drive data-driven decision-making across the organization.

At Atlassian, work locations are flexible (office, home, or hybrid), and this remote role is based in the UK to help teams collaborate effectively. The company is on a mission to reinvent B2B selling and has built a fast-growing, multi-billion business by focusing on products that delight customers and reduce friction to drive sales and adoption. The role is a strategic partner to Senior Sales Leadership, supporting the EMEA Account Executive teams to deliver in-period performance and lay the operational foundation for scalable growth, blending operational rigor with a deep understanding of enterprise SaaS go-to-market motions. Key responsibilities include field partnership and insights, forecasting and pipeline management, territory design and capacity planning, sales process design and optimization, and driving adoption of franchised sales practices with opportunities to leverage AI and automation. This role requires close collaboration with Central Operations, Analytics, Systems, and Sales Enablement to standardize and optimize processes, support QBRs and compensation tracking, and manage change as new tools and workflows are introduced.

- Atlassian offers flexible work options, including fully remote roles, and eligible UK candidates can apply. - The Mid Market Sales team helps large customers scale their Atlassian investments, was established in 2019, and brings experience from Fortune 500 companies and startups while upholding Atlassian values. - They are seeking a proactive Account Executive who thrives on unlocking untapped potential within existing customer relationships to deepen Atlassian’s footprint and realize fuller value. - You will identify and develop growth opportunities within an assigned UKI portfolio, develop and execute strategic account plans to expand adoption and uncover new use cases within accounts that have existing but limited Atlassian usage, and implement named account or territory plans to maximize expansion and ensure customer success. - You’ll collaborate with the channel sales organization to build sales strategies for designated territory or named accounts and serve as Atlassian’s main contact for those Mid-Market accounts.

Atlassian offers flexible work arrangements, and this fully remote, non-traditional Sales role is eligible to hire in the UK. The Mid Market Sales team helps Atlassian’s largest customers scale their investments, and it was established in 2019 with members from Fortune 500 companies and startups, guided by Atlassian values. They are seeking a proactive Account Executive who can unlock untapped potential within existing customer relationships. Responsibilities include identifying growth opportunities within an assigned UKI portfolio, developing strategic account plans to expand adoption and uncover new use cases, and implementing plans to maximize expansion and ensure customer success. The role also involves collaborating with channel sales and serving as the main point of contact for designated Mid-Market accounts.

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

- Atlassian supports flexible work arrangements, allowing collaboration from home or global offices, and hires in any country with a legal entity. - The Intern program provides hands-on technical training, professional growth, dedicated mentorship, and strong social connections to prepare interns for a successful Atlassian career. - The Seattle hub hosts this role, and candidates must be able to work from that hub; the internship is not eligible for F1 or J1 students and does not offer sponsorship. - The paid internship runs for 12 weeks between May/June and August/September 2027. - As a Data Engineering intern, you will influence product teams, support Data Science and Analytics Platform teams, collaborate with data consumers to ensure data assets are of high quality and usefulness, and responsibilities include defining metrics, instrumenting logging, acquiring/ingesting data, architecting and modeling data, transforming data, ensuring data quality and governance, enabling data use, and building at-scale solutions with alerting, visualization, and reporting to improve product experience, efficiency, and cost.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity. The Product Security team is hiring a Product Security Engineer to collaborate with development teams and strengthen security across the entire software development lifecycle. The role focuses on guiding the Product Security Program, promoting automation, reviewing designs, and equipping engineering teams with tools and methods to build secure-by-default products, with a strong emphasis on collaboration and the ability to read code. On day one, candidates should have security-focused experience, application security (web), coding in Java/Python/Go plus scripting, cloud security (AWS/GCP/Azure), and experience leading large projects and mentoring others, including familiarity with AI developer ecosystems and AI/LLM risk considerations. Key responsibilities include security assessments and threat modelling, secure design reviews, automation and detection, incident response, stakeholder engagement, collaboration, and continuous improvement, with optional enhancements such as AI-assisted development safety, agentic AI systems, and industry contributions.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever there is a legal entity. The Product Security team is looking for a Product Security Engineer to collaborate with development teams to strengthen security across the full software development lifecycle, provide technical guidance, promote automation, and review designs to ensure secure-by-default products. The role requires strong collaboration, the ability to read code, and on day one you should have security-focused experience, web application security expertise, coding in Java/Python/Go plus scripting, cloud security experience (AWS/GCP/Azure), and hands-on AI/LLM risk mitigation. Responsibilities include security assessments and threat modeling for cloud-native and SaaS products, secure design reviews, building and maintaining automation for security controls and detection, incident response participation, and clear stakeholder engagement to drive security adoption while fostering collaboration and continuous improvement. Desired extras include an interest in AI-assisted development safety, experience building agentic AI systems for automated threat detection/triage, published security contributions, speaking at industry events, and experience with compliance, privacy, IT, networking, or related functions.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The ITSM Analytics group within Jira Service Management builds the reporting and analytics platform that turns JSM operational data (requests, incidents, SLAs, assets, and Ops/Opsgenie) into actionable IT and service insights, a key competitive differentiator for JSM. The team owns JSM's end-to-end analytics surface, including Custom Metrics, JSM Insights (SLA-breach insight generation and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page, spanning frontend dashboards, metric-authoring UIs, backend GraphQL APIs, data pipelines, and reporting data infrastructure. It is a high-ownership, full-stack team shipping from EAP to GA, with emphasis on performance, scale, data quality, and observability. The role is to lead a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, covering greenfield-to-scale work across data platform, GraphQL APIs, and modern React frontends, while growing a multi-pod team and setting technical direction to deliver GA outcomes for enterprise customers.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where they have a legal entity to support personal goals and priorities. The Jira Service Management (JSM) ITSM Analytics group builds the reporting and analytics platform that turns JSM operational data into actionable insights for IT and service teams, a key differentiator in the ITSM market. The ITSM Analytics team owns JSM's end-to-end reporting surface, including Custom Metrics, JSM Insights (SLA-breach insight engine and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page, spanning frontend dashboards, metric authoring UIs, backend GraphQL APIs, data pipelines, and reporting data infrastructure. This is a high-ownership role shipping across EAP, Beta, and GA while investing in performance, scale, and data quality/observability. The role leads a charter-defining team building the analytics engine at the heart of Atlassian's ITSM strategy, growing a multi-pod team, setting technical direction for a large data domain, and delivering GA-ready outcomes to enterprise customers.

At Atlassian, employees can choose where they work—office, home, or a hybrid—and the company hires in any country where it has a legal entity, supporting personal priorities. As a P70, the role spans cross-domain ownership and influences senior management and cross-functional leaders, with responsibilities to set design direction for agentic experiences and define North Star experiences for agent creation and lifecycle. The job includes shaping Studio strategy, designing cohesive narratives, developing design systems across platforms, and proposing architectural improvements to scale for future challenges. It entails leading end-to-end design on high-leverage, ambiguous problems, maintaining high craft, influencing long-term architecture, partnering with PM and Engineering, and driving AI-native patterns, developer experience, and marketplace mechanics, along with research, prototyping, and formative/summative planning. Additional duties include mentoring designers, participating in hiring, championing inclusive design and accessibility, modeling AI-native ways of working, building consensus with senior stakeholders, and representing Design in the rooms where ecosystem decisions are made.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever there is a legal entity. As a Principal-level (P70) designer, you have cross-domain, cross-functional ownership and influence over senior management, shaping design direction, North Star experiences for agent creation and lifecycle, Studio strategy, and cohesive narratives that align teams to roadmaps. You will design systems that unify agents, apps, and automations into a coherent experience, propose scalable architectural improvements, lead end-to-end design on high-leverage, ambiguous problems, maintain exceptional craft, and influence long-term architecture with PM and Engineering, while bringing an informed point of view on AI-native patterns, developer experience, and marketplace mechanics. You drive research, data, and prototyping at the portfolio level, plan formative and summative research, synthesize insights into clear directions, champion rapid prototyping and iterative testing, and multiply the team by coaching mid- and senior-level designers and participating in hiring. You champion inclusive, accessible design, embed accessibility practices across systems and reviews, adopt AI-native ways of working within the Ecosystem & Marketplace design team, build consensus among senior stakeholders, rally cross-functional teams around a shared vision, and represent Design in the rooms where the biggest ecosystem decisions are made.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The company serves over 300,000 customers worldwide, including NASA and Coca‑Cola, and aims to unleash the potential of every team through software while driving ongoing revenue growth, guided by a “play as a team” culture where employees work with Atlassian, not for it. The sales role targets high‑value accounts, building relationships with key decision‑makers, and coordinating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions. Responsibilities include developing named account or territory plans, acting as the main contact or escalation point, leading negotiations, conducting market research, forecasting sales, traveling as needed, and mentoring junior team members. Atlassian seeks customer‑focused, creative professionals who can implement strategic sales plans, understand customer objectives, and advance an AI‑driven cloud migration and growth strategy in line with Atlassian values.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees more control over family and personal goals. - The company serves over 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—with a mission to unleash every team's potential through software, delivering customer impact and driving revenue growth. - Atlassian's unique value is "play as a team," fostering mutual support, shared wins, and knowledge sharing, with employees working with Atlassian rather than for it. - The sales role centers on strategic accounts, building relationships with decision-makers (including C‑level executives), identifying expansion opportunities, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions and negotiate contracts. - The company is leading responsible AI integration into cloud products and migrating customers to the cloud, while the role also involves developing named account or territory plans, forecasting, market insight, mentoring juniors, and traveling to meet clients and attend events.

Atlassian supports flexible work arrangements, allowing Atlassians to work from an office, home, or a combination, and hires in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive the adoption and long-term growth of the DX product (getdx.com) for enterprise customers. The role serves as the post-sale technical authority, leading technical implementation, onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dive sessions, mapping the DX platform to a client’s workflows, designing tailored integrations, and asking targeted questions to optimize deployment. The position also acts as a trusted advisor on best practices for DX analytics and deployment, while capturing customer feedback to inform the product roadmap.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers, serving as the post-sale technical authority. The role leads technical implementations, partnering with Customer Success Managers to onboard clients, manage complex integrations, and design system architectures for a smooth transition from evaluation to production. It includes architecture and strategy work, deep-dive sessions to map the DX platform to a customer’s workflows, and custom solution engineering to create integrations and workflows that connect DX APIs to client environments, along with consultative implementation to optimize deployment pipelines. The position acts as a trusted advisor on best practices for DX analytics, deployment methodologies, and cultural transformation, and maintains a feedback loop with Product and Engineering to influence the roadmap.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires people in any country where they have a legal entity. The Advisory Services Delivery team is seeking a Senior Solution Consultant (Strategy Collection focus) to provide expert Atlassian guidance to large strategic and enterprise clients as an individual contributor. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, traveling up to 30% for events, and collaborating with cross-functional teams. Required background includes 6-8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience mapping operations to product capabilities, and familiarity with strategy/planning tools and AI integrations; fluency in English is required, with a second language such as Spanish, French, or Portuguese being a plus. Perks include substantial time off and an education budget, and Atlassian emphasizes an inclusive culture with non-discrimination and provides resources like a Candidate Resource Hub.

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

- Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires globally where it has a legal entity, enabling staff to balance family and personal goals while impacting millions of users. - The Atlassian Advisory Services team is a globally distributed group of experts delivering trusted guidance to large enterprise customers to maximize value from their Atlassian investments. - The Senior Solution Consultant with a Strategy Collection focus is an individual contributor in Advisory Services Delivery, responsible for delivering strategic technical guidance, aligning product capabilities with business outcomes, and identifying opportunities for service and product expansion. - Responsibilities include collaborating on strategic outcomes, solving client challenges with Atlassian products, creating prescriptive guidance, staying current with best practices, working cross-functionally, and traveling up to 30% of the time. - Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles engaging with stakeholders from technical admins to executives, expertise in Enterprise Agility, experience mapping operations to product capabilities, and fluency in English (additional languages and AI integration experience are a plus); Atlassian emphasizes an inclusive culture with nondiscrimination, generous perks, and an emphasis on confidentiality per EEO guidelines via its Candidate Resource Hub.

At Atlassian, you can work in an office, from home, or a hybrid setup, and the company hires globally wherever it has a legal entity to support personal priorities and impact millions of users. The Senior Solution Consultant with a Strategy Collection focus is an individual-contributor role within the globally distributed Advisory Services Delivery team, providing expert Atlassian guidance to large strategic and enterprise customers. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, collaborating with cross-functional teams, and traveling up to 30% domestically or internationally. The ideal candidate has 6–8 years in SaaS with 5+ years in customer-facing roles, deep Enterprise Agile expertise, the ability to map customer operations to product capabilities, experience delivering enterprise strategy and planning tools (e.g., Strategy Collection, Rally, RTC, ADO, VersionOne) and AI integrations (Rovo, Agentic AI, MCP), and fluent English (additional languages like Spanish, French, or Portuguese are a plus). Atlassian emphasizes perks like time off, an education budget, and volunteer days, and maintains a diverse, inclusive culture with non-discrimination and confidentiality in line with EEO guidelines, with more details available in the Candidate Resource Hub.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, supported by a globally distributed Advisory Services team focused on customer success. - They’re hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor to deliver expert Atlassian guidance and drive value realization for enterprise clients who purchase Advisory Services. - Responsibilities include collaborating with peers to define strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and client-facing events. - Candidates should have 6-8 years in SaaS, 5+ years in customer-facing roles, deep Enterprise Agility expertise, ability to map operations to product capabilities, experience with enterprise strategy and planning tools (Strategy Collection and alternatives like Rally, RTC, ADO, VersionOne), and AI integrations (Rovo, Agentic AI, MCP), plus English fluency and ideally a second language. - Perks include ample time off and an annual education budget, with Atlassian emphasizing inclusive culture and non-discrimination, and offering resources like the Candidate Resource Hub to learn more.

- Atlassian offers flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity. - The Advisory Services Delivery team is globally distributed, and this Senior Solution Consultant (Strategy Collection focus) will be an individual contributor delivering strategic, technical guidance to Atlassian’s largest enterprise customers to maximize value from their Atlassian investments. - Responsibilities include collaborating to define strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, building deep solution expertise, creating prescriptive guidance, and traveling up to 30% for internal and customer events. - The role requires 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, the ability to map customer operations to product capabilities, and experience with enterprise strategy and planning tools (Strategy Collection: Align, Focus, Talent, Jira Plans; Rally, RTC, ADO, VersionOne) and AI integrations; fluent English, with a second language a plus. - Atlassian emphasizes inclusive culture and benefits (ample time off, an education budget, volunteer days) and maintains confidentiality per EEO guidelines, with a Candidate Resource Hub to learn more.

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

Atlassian supports flexible work locations and hires globally where it has a legal entity, with a focus on AI-powered teamwork and Rovo as the intelligent teammate. You’ll join the Rovo Chat Quality team and help turn “making Rovo better” into measurable, shippable improvements by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical challenges, drive advances in models, agents, and evaluation, and translate them into measurable customer value for millions of users. You’ll architect and build production ML and evaluation systems at scale, advance agentic capabilities such as reasoning, planning, tool use, memory, and long-horizon execution, and close the loop between evaluation and product impact while balancing quality, latency, safety, and cost. The role requires a proven track record shipping large-scale ML/AI systems, deep experience with LLM-powered products and agentic systems, strong production engineering, technical leadership, and excellent communication and mentorship skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity, helping teammates balance family, personal goals, and priorities. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focusing on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams to advance models, agents, and evaluation, translating improvements into measurable benefits for millions of active users. Responsibilities include architecting and building production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, online signals), advancing Rovo’s agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), and closing the loop between evaluation and product impact by shipping interventions and assessing outcomes, all while balancing quality, latency, safety, and cost. Required background includes a track record shipping large-scale ML/AI systems with measurable customer impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, technical leadership, and excellent product/technical judgment and communication.

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

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, and is seeking a Principal Technical Program Manager to lead highly-prioritized, complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with department- and portfolio-level scope. The role requires turning ambiguous business and technical problems into aligned strategies, bringing senior leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation into agreement, and establishing operating mechanisms that translate strategy into measurable outcomes. You will define a long-term strategy and roadmap for platform and product components, translate business objectives into technical problems to be solved now, and define specific systems programs such as capacity planning, migrations, high availability, network architecture, performance, and reliability improvements, partnering with engineers and architects to make progress. You are expected to manage the entire lifecycle of these programs—from initiation to forecasting, budgeting, and scheduling—while handling complex dependencies and delivering outcomes across the company, using a systematic approach to prioritization and scoping. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical fluency with a willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), and the ability to define and run end-to-end technical programs, while preferred qualifications include a B.S. in Software Engineering, Computer Science, or a related discipline.

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

Atlassian supports flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement, and hires in any country where it has a legal entity. They are looking for a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for Atlassian’s Developer Infrastructure & Productivity teams, as a senior individual contributor with department- and portfolio-level scope. The role involves bringing clarity to ambiguous problems, aligning senior leaders across functions, establishing operating mechanisms to turn strategy into measurable customer and business outcomes, and partnering with leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation across multiple teams and time horizons. You will analyze objectives, customer needs, adoption inhibitors and opportunities, industry trends, and define a long-term strategy and roadmap for platform components, translating business objectives into technical systems problems and defining specific programs (capacity planning, migrations, high availability, network architecture, performance, reliability, etc.) with action plans. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical problem-solving skills, understanding of system flows and APIs, willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), ability to run end-to-end complex programs, and strong leadership and communication; preferred qualification is a B.S. in Software Engineering, Computer Science, or a Technical Discipline.

Atlassian supports flexible work locations and hires globally, and they are seeking a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams. This senior, individual-contributor role has department- and portfolio-level scope, requiring you to clarify ambiguity, align senior leaders, and establish operating mechanisms that turn strategy into measurable outcomes across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, Transformation, and multiple teams/time horizons. You will analyze business objectives, customer needs, adoption inhibitors, and industry trends to define a long-term strategy and roadmap for platform components, translating business objectives into technical problems and planning programs such as capacity planning, migrations, high availability, network architecture, performance, and reliability. You will partner with engineers and architects, take a systematic approach to engineering problems, prioritize tasks, scope projects, define objectives, and own the full lifecycle from initiation to forecasting, budgeting, and scheduling, managing complex dependencies across the company. Qualifications include 8+ years of software team experience as Development Manager or TPM, the ability to translate business objectives to technical problems, technical understanding of systems (storage, networking, authentication, capacity management, deployments, etc.), willingness to develop domain expertise, and strong leadership/communication; TPMs are not required to code but should understand system flows and APIs; preferred is a BS in Software Engineering, Computer Science, or a technical discipline.

Atlassian supports flexible work locations and can hire people in any country where they have a legal entity. They are hiring a Principal Technical Program Manager (senior individual contributor) to shape and deliver the highest-priority, most complex programs for the Developer Infrastructure & Productivity teams, accountable for outcomes and scalable program-management systems across multiple functions. The role involves analyzing objectives, customer needs, and industry trends to define a long-term strategy and roadmap, translating business goals into technical problems, and planning programs such as capacity planning, migrations, high availability, network, performance, and reliability improvements. It requires partnering with engineers and architects, taking a systematic approach to engineering problems, prioritizing tasks, and managing the full lifecycle from initiation to budgeting and scheduling across the company. Qualifications include 8+ years on software teams as a Development Manager or TPM, strong strategic and technical understanding, ability to develop domain expertise, non-coding but systems-savvy TPM skills, and strong leadership and communication; preferred is a B.S. in Software Engineering or Computer Science.

At Atlassian, employees can work flexibly (office, home, or hybrid) and the company hires globally in countries with a legal entity. They are seeking a senior analytics engineer / sales data analyst to drive data alignment between enterprise go-to-market and finance by designing robust data pipelines and an AI-ready context layer. The role includes building and maintaining data infrastructure for quality and accessibility, creating canonical datasets via ETL/ELT, and monitoring data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. It also involves partnering with finance, data engineering, and other cross-functional teams to flag data inconsistencies, conducting sizing analyses for infrastructure changes, and owning core data transformations from requirements through UAT to implementation. Additionally, the position emphasizes process improvements to reduce manual work, enable scalable analytics, and performing UAT/QA on bug fixes and feature releases for data systems.

Atlassian offers flexible work options and hires globally where it has a legal entity. They seek a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing pipelines to monitor data drift among systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves designing, building, and maintaining data infrastructure for quality, consistency, and accessibility, and leading the development of data products and an AI context layer to scale analytics. Responsibilities include building canonical datasets with high-volume ETL/ELT pipelines using data lakes and warehouses, partnering with finance and other teams to flag data inconsistencies affecting the close, and performing sizing analyses for infrastructure changes with impact analyses. The position also requires owning core system data transformations from requirements to UAT to deployment, leveraging tools to improve efficiency and reduce manual work, and conducting UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control over family and personal goals. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines and monitoring data drift among Salesforce, Oracle Fusion, Gainsight, and Databricks. The role includes evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI context layer to enable safe interaction by AI agents. You’ll lead the development of data products, canonical datasets, and ETL/ELT pipelines (data lake and warehouse concepts) to ensure data quality, consistency, and accessibility for analytics across the company, and you’ll partner with finance and cross-functional teams to flag inconsistencies that affect financial close. Additional duties include executing sizing analyses for transformational data infrastructure changes, owning SME-level knowledge of core system data transformations, seeking efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity. They are seeking a versatile, senior sales data analyst or analytics engineer to align data between enterprise go-to-market and finance. The role involves designing robust data pipelines and infrastructure to monitor data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks, plus building a context layer to enable safe AI interactions. Responsibilities include developing canonical datasets via high-volume ETL/ELT pipelines, ensuring data quality and accessibility for analytics, and partnering with finance and other teams to flag data inconsistencies and support close of books. Additional duties cover owning core data transformations from requirements through UAT to deployment, driving efficiencies to remove manual processes, and performing UAT/QA on bug fixes and feature releases.

Atlassian allows employees to work in-office, from home, or a hybrid, and can hire in any country with a legal entity. The Principal Enterprise Security Engineer is the senior technical authority shaping corporate architecture, SaaS platforms, and workforce technologies, guiding the long-term vision and safeguards at scale. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture (endpoint, identity, network, data) and to lead architectural reviews of major initiatives, with controls and maturity assessments. They act as a technical SME, providing security guidance, influencing design and investment decisions, and enabling safe, rapid change through automation of controls and drift detection using IaC/PaC, plus CI/CD for policy/config rollouts. Collaboration is essential, partnering with security, engineering, and product leaders, serving as the architecture liaison between Corporate Security and Product Security, and mentoring security engineers across corporate domains.

Atlassian supports flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity. The Principal Enterprise Security Engineer is the senior technical authority for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision and controls to protect assets while enabling agility. Key responsibilities include defining and maintaining the end-to-end enterprise security architecture (endpoint, identity, network, data) and leading architectural reviews of major initiatives such as AI adoption, zero-trust modernization, and vendor onboarding, as well as establishing controls and conducting maturity assessments. They provide SME guidance to engineering teams, influence design to embed security from the outset, and deliver risk-based recommendations while automating control deployment and drift detection via IaC/PaC to accelerate adoption. Collaboration is essential, working with security, engineering, and product partners, serving as the architecture liaison between Corporate Security and Product Security, and mentoring security engineers across corporate domains.

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

Atlassian offers flexible work options and hires globally; this role is based in the United States with a strong preference for Pacific or Mountain time zones and requires regular travel to Sydney, San Francisco, and Seattle. The role is Head of Product for Jira, responsible for leading Jira’s experience, AI, and customer adoption, and for shaping how humans and agents collaborate within Jira. You’ll lead a global team of product managers across Australia, the United States, and India, reporting to Jira’s Head of Product and acting as an immediate deputy for strategy, team building, and executing major initiatives. Key responsibilities include owning the multi-year product strategy for human-agent collaboration, guiding the core Jira experiences (work items, boards, lists, backlogs, plans, views, and mobile), defining AI and Teamwork Graph context, and driving agent adoption from onboarding to habitual use. You’ll also partner with leaders across Atlassian, especially in the Teamwork Collection and AI groups, build an experience-led product culture, and serve as the senior product voice with customers and the market.

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

Atlassian offers flexible work options and can hire globally where it has a legal entity; the role is based in the United States with a strong preference for Pacific or Mountain time zones and will require regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization focused on Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents collaborate—work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and work closely with engineering and design leadership while maintaining a high quality bar and engaging meaningfully with customers. Key responsibilities include owning the multi-year product strategy for human/agent collaboration in Jira, guiding core Jira experiences, defining AI and agent context, and driving agent adoption through in-product discovery, onboarding, automation, and habitual use. Additional focus areas involve building and scaling the PM organization across three geographies, maintaining an experience-led product management standard, partnering cross-functionally within Atlassian (notably Teamwork Collection and AI groups), and acting as the senior product voice with customers and the market to translate learnings into a durable experience vision.

Atlassian offers flexible work options, and this role is based in the United States with Pacific or Mountain time preferred to support collaboration with teams in Australia; you should expect regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents work together across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and be responsible for strategy, team building, and executing major initiatives while working closely with engineering and design and maintaining a high quality bar. The role centers on owning a multi-year product strategy for how humans and agents do work together in Jira, guiding core Jira experiences, and defining AI and agent context to turn Teamwork Graph data into better customer outcomes, plus driving agent adoption through in-product discovery, onboarding, automation, and habitual use. You’ll build and scale the product organization across three geographies, partner with Atlassian leaders in the Teamwork Collection and AI groups to resolve duplicated work and align teams around shared outcomes, and serve as the senior product voice with customers and the market to translate real-world feedback into a durable experience vision.

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

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. Atlassian’s software helps teams manage work, with products like Jira Software, Confluence, and Jira Service Management, and is trusted by the Fortune 500 and many other companies. The Mid-Market sales team focuses on mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, achieving revenue targets, and acting as a customer advocate by feeding feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The LATAM role requires full Portuguese fluency, owning ~40 accounts with a $2-4M annual quota, leading cross-functional deal teams, building executive relationships, and using MEDDPICC to qualify and win complex opportunities. Additional responsibilities include collaborating with internal teams to maximize customer satisfaction, negotiating and pricing contracts, sourcing leads, providing accurate forecasts, staying updated on industry trends, and occasional travel for meetings and events.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. Atlassian unleashes the potential of every team with products like Jira Software, Confluence, and Jira Service Management that help teams organize, discuss, and complete work, trusted by the Fortune 500 and many other companies including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first sales and cross-sell opportunities, nurtures relationships, achieves revenue targets, and advocates for customers by feeding feedback to product and engineering teams. The role covers the LATAM region and requires full fluency in Portuguese; you will own about 40 accounts (200-10,000 seat counts), carry a 2-4M annual quota, and lead cross-functional deal teams using MEDDPICC to qualify, advance, and win complex opportunities. You will collaborate with channel, marketing, product, and customer success to maximize satisfaction, negotiate contracts, source leads, provide accurate forecasting, stay updated on industry trends, and travel occasionally for meetings and events.

Atlassian supports flexible work locations (office, home, or hybrid), hires globally with virtual interviews and onboarding, and offers products like Jira Software, Confluence, and Jira Service Management to help teams work better together. The Mid-Market sales team manages mid-sized customers, focusing on cloud-first opportunities, cross-sell and user expansion, while advocating for customers and providing feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. This role covers the LATAM region and requires full fluency in Portuguese, guided by Atlassian values and a team-based approach to deploying and utilizing Atlassian at scale. You will own a book of ~40 accounts (200-10,000 seats) with a $2-4M annual quota, and lead cross-functional deal teams as the quarterback, building executive relationships and using MEDDPICC to qualify and win complex opportunities. You will identify and close multithreaded, multi-solution opportunities through outcome-based selling, collaborate with internal teams on pricing and contracts, maintain a healthy pipeline with accurate forecasting, stay informed on industry trends and competitors, and travel occasionally for customer meetings and events.

Atlassian offers flexible work options—office, home, or hybrid—and the role is fully remote but UK-based, with virtual interviews and onboarding as part of being a distributed-first company. As Principal Value Management Advisor in Atlassian’s Value Management Office for the EMEA region, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships. You will set the benchmark for value management craft, drive innovation at scale, and act as a thought leader and trusted advisor to senior executives within Atlassian and across customer accounts. Your work will involve building influential relationships with key decision-makers, analyzing data to create business cases and metrics, and uncovering value drivers through advanced discovery to develop holistic solutions. You’ll deliver executive presentations, contribute to new VMO solutions, align cross-team efforts, and develop thought leadership to support value-based selling and customer success.

Atlassian supports flexible work arrangements—office, home, or hybrid—with this role fully remote but UK-based, and interviews and onboarding conducted virtually as part of its distributed-first approach. As a Principal Value Management Advisor in Atlassian’s Value Management Office, you will lead strategic value engagements shaping Atlassian’s most critical customer relationships in the EMEA region. You will set the benchmark for value management craft, drive innovation at scale, and serve as a thought leader and trusted advisor to senior executives both within Atlassian and across our customer base. Your work includes building influential, personalized relationships with key decision-makers, analyzing customer data to identify opportunities and develop metrics, and using advanced discovery to uncover value drivers for holistic solutions. You will create executive-level presentations, contribute to new VMO solutions, align teams, and share thought leadership to support value-based selling across the organization.

Atlassians can work anywhere—office, home, or a mix—with virtual interviews and onboarding, and we hire in any country where we have a legal entity. For this Principal Customer Success Manager, Public Sector role, we welcome applicants from all regions of the United Kingdom. You will partner with strategic UK & Ireland public sector organisations to realize the full value of their Atlassian investments, serving as a trusted advisor through complex digital transformations and cloud migrations. The team emphasizes long-term customer value and partnership rather than quota carrying, helping customers migrate to the cloud, transform digitally, and adopt AI-powered solutions. You will build senior-level relationships, champion cloud migration and digital transformation, enable AI capabilities and Teamwork Graph, drive value through success plans and executive reviews, navigate procurement and governance, and work cross-functionally with sales, solutions engineering, product, and partners to ensure smooth lifecycle delivery.

Atlassian offers flexible, distributed-first work arrangements (office, home, or hybrid) with virtual interviews, and hires in any country with a legal entity; for this role, applicants from all regions of the United Kingdom are welcome. As Principal Customer Success Manager, Public Sector, you’ll partner with strategic UK & Ireland public sector organizations to unlock the full value of their Atlassian investments and guide them through digital transformations and cloud migrations. The role centers on serving as a trusted adviser and driving long-term customer value—not quotas—by leading cloud migrations, digital transformation, and AI-powered and Teamwork Graph-enabled knowledge sharing across the portfolio. You will build strategic trusted-advisor relationships with senior civil servants, IT leaders, and transformation directors across UK & Ireland public sector accounts to align Atlassian solutions with their digital mandates and enable cloud migration. You’ll drive value realization through Customer Success Plans and executive reviews, navigate governance, data/security standards and public sector procurement rhythms, and collaborate cross-functionally with Enterprise Sales, Solutions Engineering, Cloud Migration specialists, Product teams, and partners to ensure smooth customer lifecycle delivery.

At Atlassian, employees can work flexibly and the company hires globally where it has a legal entity; the role is Manager of the EMEA Solutions team for DX, leading a team of Solutions Engineers and Solutions Architects to grow the DX product across EMEA. You will scale the technical strategy across pre- and post-sales, coaching SEs and SAs through discovery, POCs, and implementations, and act as a key bridge between Sales, Customer Success, Product, and Engineering leadership. You will partner with EMEA Sales and Customer Success leaders to ensure the platform meets the needs of rapidly growing and agile engineering organizations, while recruiting, onboarding, and mentoring a world-class EMEA team and fostering a culture of technical excellence and continuous learning. Your responsibilities include acting as a player-coach on high-stakes opportunities, overseeing POCs and deal strategy, and guiding pilots and go-lives with clean handoffs to post-sales, while noting that you do not own the CS motion. You will drive process optimization, standardize POC playbooks and implementation handoffs, manage resource allocation across the EMEA pipeline, advocate for the EMEA customer in leadership discussions and with Product/Engineering to prioritize the roadmap, and define KPIs aligned with regional revenue targets and successful technical delivery.

At Atlassian, employees can choose flexible work arrangements and the company hires globally wherever it has a legal entity. The Manager of the EMEA Solutions team for DX will lead a high-performing group of Solutions Engineers and Solutions Architects to drive DX growth across the EMEA region, partnering with EMEA Sales and Customer Success as well as Product and Engineering leadership. The role involves recruiting and mentoring, scaling the technical strategy across pre-sales and post-sales, and coaching teams through discovery, POCs, and implementations to ensure value delivery and clean handoffs. It also emphasizes pre-sales strategy and deal support, implementation strategy, process standardization (POC demos, handbooks, handoffs), and balancing resource allocation while representing the EMEA customer in cross-functional discussions to shape the roadmap. Success is measured by KPIs aligned with regional revenue targets and the effectiveness of technical delivery.

At Atlassian, employees can work from an office, home, or a hybrid setup, with virtual interviews and onboarding as part of their distributed-first approach, and they hire in any country with a legal entity. The company partners with 82% of the Fortune 500, including IBM, Tesla, Dish, and Lufthansa, and the Team Atlassian focuses on developing its largest, most strategic customers. The Account Management team aims to deepen customer relationships, drive retention, and accelerate expansion across Atlassian’s full solution portfolio, working closely with Sales and reporting to the Manager of Strategic Account Management for DACH & France. The ideal candidate is a collaborative, adaptable professional with 7+ years of revenue-target achievement, a discovery-driven mindset, and a customer-first mentality that can balance multiple opportunities and guide expansions. In this role, you will accelerate revenue growth by leveraging existing customer footprints, develop senior relationships, manage high-value renewals and expansions, lead end-to-end growth cycles, partner on account planning, raise awareness of the portfolio, forecast your book, identify and mitigate risks, and advocate for customer needs across cross-functional teams.

Atlassian offers flexible work arrangements—office, remote, or a hybrid model—and conducts interviews and onboarding virtually as part of its distributed-first approach. The company’s Team Atlassian focuses on large, strategic customers and partners with 82% of the Fortune 500, including teams at IBM, Tesla, Dish, and Lufthansa. The Account Management team aims to deepen relationships, retain customers, and expand usage across Atlassian’s full solution portfolio, while partnering with Sales on strategic opportunities. The role (Strategic Account Management DACH & France) involves accelerating revenue growth through top-down, solution-oriented expansion, managing high-value renewals and expansions, and leading end-to-end growth with account planning and cross-functional collaboration. Candidates should have 7+ years of relevant revenue-target experience, be adept at discovery and multi-opportunity management, embody a customer-first mentality, and influence outcomes while aligning with Atlassian’s strategy.

Atlassian lets employees choose where to work—office, home, or a combination—with virtual interviews and onboarding globally where they have a legal entity, reflecting a distributed-first approach. Atlassian is transforming the software development industry and empowering teams worldwide, serving clients like Vodafone, Daimler, and Klarna, with typical deals of €150K-€400K ARR over 3-9 months, involving multi-stakeholder procurement and real commercial complexity. The Mid-Market Sales team, established in 2019, focuses on cloud-first opportunities, cross-sell and user expansion, nurturing strong customer relationships, and is guided by Atlassian’s core values while gathering customer feedback for product and engineering. In this role, you develop and implement named account or territory plans to maximize expansion and customer success, close net-new logos in €150K-€400K ARR, own expansion across named accounts with 1K-10K licenses, run DC-to-Cloud migration deals end-to-end, and work as both hunter and farmer converting reluctant on-premises customers to cloud. You’ll collaborate with channel partners, product specialists, account managers, and solution engineers, prospect and qualify mid-market leads, conduct product demonstrations, provide regular forecasts and updates to management, and travel occasionally to meet clients and attend industry events, conferences, and team gatherings.

Atlassian offers flexible work locations—office, home, or hybrid—and hires globally with virtual interviews and onboarding as part of its distributed-first model. The Mid-Market Sales team, formed in 2019, handles a diverse portfolio of mid-sized customers, focusing on cloud-first opportunities, cross-sell, user expansion, and strong customer relationships while serving as customer advocates to improve the product and experience. It’s not a transactional role; typical deals are €150K-€400K ARR with 3-9 month cycles, multi-stakeholder procurement, and significant commercial complexity, requiring development of named account or territory plans to maximize expansion and customer success. Responsibilities include closing net-new logos in that ARR range, expanding existing named accounts with 1K-10K active licenses, running DC-to-Cloud migrations end-to-end, acting as hunter and farmer, and collaborating with channel partners, product specialists, account managers, and solution engineers to streamline sales and satisfaction. The role also involves prospecting and qualifying leads, delivering product demos, providing regular forecasts and updates to management, and occasional travel for client meetings and events, all aligned with Atlassian’s core values.

Atlassian offers flexible work options—office, remote, or a hybrid model—and hires people in any country where they have a legal entity. The AI & ML Platform Team builds and operates the infrastructure that underpins Atlassian’s AI, ML, and search capabilities, with a mission to democratise AI/ML for Atlassian’s teams, customers, and ecosystem. They provide foundational infrastructure such as platforms for running generative LLMs, GPU-accelerated model serving, data access and training infrastructure, and feature stores for production recommendations, working closely with product and search teams. The team is distributed across Australia, India, Singapore, and the US, sits within the Central AI organisation alongside Search & Conversational AI, and collaborates with leadership, technical program managers, stakeholders, and architects to shape the platform’s direction. The role emphasizes coaching and developing direct reports, contributing to engineering and operational practices, and seizing opportunities for thought leadership as the AI space evolves.

- Atlassians can choose where they work—office, home, or a mix—and Atlassian hires people in any country where we have a legal entity. - The AI & ML Platform Team builds and runs the infrastructure that underpins Atlassian's AI, ML, and Search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem through user-friendly, reliable tools that accelerate development, deployment, measurement, and operation. - Their portfolio includes platforms for running advanced generative LLMs and other models, a GPU-accelerated model serving platform, data access and training infrastructure, and feature stores used for production personalized recommendations, all in close collaboration with product and search teams. - The team is distributed across Australia, India, Singapore, and the US, operating within the Central AI organization alongside Search and Conversational AI teams. - As a hands-on engineering leader, you’ll work with leadership, PMs, stakeholders, and architects to influence the platform's direction, build and empower teams, coach for development, contribute to engineering and operational practices, and drive continuous improvement while seizing opportunities for thought leadership in a rapidly evolving AI space.

- Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. - The AI & ML Platform Team builds and runs the infrastructure behind Atlassian’s AI, ML, and search capabilities, with a mission to democratize AI/ML for teams, customers, and the ecosystem by delivering user-friendly, reliable foundational tools. - The team owns infrastructure for running advanced generative LLMs, GPU-accelerated model serving, data access and training pipelines, and feature stores for production-grade personalized recommendations, collaborating closely with product and search teams to deliver Atlassian Intelligence features. - Team members are distributed across Australia, India, Singapore, and the US, operating within Central AI alongside Search & Conversational AI teams, and are guided by a leadership group that shapes direction and plans. - The role emphasizes building and coaching effective teams, developing individuals, contributing to engineering and operational practices, and offering thought leadership in a rapidly evolving AI landscape.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Product Security team protects Atlassian products by collaborating with development teams to enhance security throughout the software lifecycle, providing technical guidance, automation, and design reviews, and equipping engineering partners with tools and methodologies to build secure-by-default products. This role requires strong collaboration, the ability to understand current processes, propose and implement security improvements, and the ability to read code due to close work with product engineering teams. On day one, candidates should have security-focused experience including application security (web), cloud security architecture, coding in Java, Python, or Go plus at least one scripting language, and experience providing SME guidance to stakeholders and engineers. Responsibilities include security assessments and threat modelling, secure design reviews, automation and detection, incident response, stakeholder engagement, collaboration, and continuous improvement, with nice-to-have items such as interest in AI-assisted development safety, published security contributions, and experience with compliance, privacy, IT, networking, or related functions.

Atlassian offers flexible work options (office, from home, or hybrid) and hires in any country with a legal entity to support employees’ family and personal priorities. The Product Security team protects Atlassian’s products and is seeking a Product Security Engineer who collaborates with development teams to improve security across the entire software development lifecycle and lead security program enhancements. On day one, candidates should have security-focused experience, including application security for web apps, cloud security architecture, coding in Java, Python, or Go with scripting, and the ability to provide SME guidance to stakeholders and engineering teams. Responsibilities include security assessments and threat modelling for cloud-native/SaaS, secure design reviews, automation and detection of security controls, incident response participation, and stakeholder engagement to drive security adoption and continuous improvement. Desirable but not required are an interest in AI-assisted development safety, published security community contributions, industry presentations, and experience with compliance, privacy, IT, networking, or related functions.

1. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over their personal priorities. 2. SMB Account Executives guide customers through their Atlassian cloud journey with the objective of showing how Atlassian products align with and support their goals, while Sales Associates advocate for customers and share insights with Product and Marketing teams. 3. SMB AEs are customer-centric and innovative, manage resources for Atlassian’s top 30,000 SMB customers, report to the Sales Manager in their region, and the role is remote with flexibility and autonomy. 4. In this role you’ll follow up on qualified inbound leads and conduct outbound prospecting to build new and expansion pipelines, qualify needs through a consultative approach, and build business cases to drive adoption and upsell opportunities. 5. You’ll develop territory account plans to meet or exceed quota, stay current on industry trends and competitor activity, and use these insights to inform strategy and customer conversations.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where it has a legal entity. SMB Account Executives guide SMB customers through their Atlassian cloud journey, demonstrating how Atlassian products support their objectives and focusing on value and ROI to drive adoption and upsell. They work collaboratively with Product specialists and Marketing, maintain a customer-centric approach, and manage resources for Atlassian’s top 30,000 SMB customers. The role reports to the Sales Manager by region and is remote with autonomy. Key duties include following up on inbound qualified leads and trial/demo requests, outbound prospecting, qualifying needs, building strategic relationships, developing territory plans, and staying informed on industry trends and competitors to shape strategy.

This remote role at DX, a fast-growing SaaS company headquartered in Salt Lake City, centers on using millions of data points to power insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero. DX has scaled profitably—tripling its annual recurring revenue in recent years—and has recently closed an acquisition by Atlassian to accelerate growth, R&D, and impact for customers. The company values individual mastery and rewards those who become the best at their craft, emphasizing doing work at the highest level possible even when outcomes are influenced by factors outside one’s control. The role entails coaching a team of Strategic Account Executives to meet targets, acting as a player-coach in high-stakes deals, institutionalizing pipeline discipline and forecasting, analyzing performance data to remove bottlenecks, driving GTM improvements from customer feedback, fostering continuous learning, and recruiting top talent. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor with empathy, thrive in ambiguity, balance data-informed decisions with the human element, and exhibit high emotional intelligence to navigate complex internal stakeholders.

DX, a fast-growing SaaS company headquartered in Salt Lake City and now part of Atlassian, helps engineering leaders build high-performing teams by collecting millions of data points daily to reveal developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX values individual mastery and the highest level of performance, emphasizing that while outcomes depend on factors beyond control, you should strive to perform at the highest level. In this role you’ll coach a team of Strategic Account Executives to consistently hit revenue targets, operate as a player-coach on high-stakes deals, institutionalize the sales process with rigorous pipeline discipline and accurate forecasting, analyze performance to coach underperformers, drive GTM improvements from frontline feedback, and recruit and onboard top talent while fostering a culture of continuous learning. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-driven decisions with the human element, and possess high emotional intelligence to navigate complex stakeholders.

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

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where they have a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products, build a robust AI infrastructure, and create a centralized search, Q&A, and conversational AI system integrated across products while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive tools for development, deployment, measurement, and operation of AI/ML models for Atlassian teams and the broader ecosystem. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving end-to-end, encompassing distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable serving, optimizing latency and throughput under production workloads, building high-concurrency systems, benchmarking and accelerating inference engines, enabling CI/CD for model deployment and inference updates, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

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

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires people in any country where they have a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure (Search, Q&A, and Conversational AI) while exploring external AI integrations. The AI & ML Platform Team aims to democratize AI and ML for Atlassian's teams, customers, and ecosystem by providing productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure, optimizing latency and throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by creating productive tools to develop, deploy, measure, and operate AI/ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and partnering with senior engineers to fine-tune open-source LLMs for deployment.

At Atlassian, employees can choose where to work—office, home, or a hybrid arrangement—and the company can hire people in any country where it has a legal entity. The Central AI Org is dedicated to AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure including search, Q&A, and conversational AI, with exploration of AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI and ML models and experiences. As a Senior ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to low-level optimizations like GPU kernels and quantization. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems for billions of requests, benchmark and accelerate inference engines, create CI/CD for model deployment, and collaborate with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, aims to develop horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and to explore AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI and ML by building productive tools that enable Atlassian teams, customers, and the ecosystem to develop, deploy, measure, and operate AI/ML models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize large-scale model serving end-to-end, covering distributed infrastructure and deep low-level optimizations like GPU kernels, quantization, and speculative decoding. You will architect scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimize latency and throughput under production workloads, build high-concurrency serving systems, benchmark and accelerate inference engines, create CI/CD for deployments, and partner with senior ML engineers to fine-tune open-source LLMs for deployment.

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

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge, reason about questions, and perform tasks across products and tools. The team integrates enterprise search into Atlassian products, third-party AI assistants, and developer workflows, using intent interpretation, search planning, tool use, and adapting to new evidence, guided by rigorous evaluation and benchmarks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol (MCP), building reproducible benchmarks, improving the full search system from model behavior to interfaces, and owning projects end-to-end with collaboration across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/retrieval/NLP, designing experiments and evaluation, daily use of AI tools, and understanding the ML lifecycle, with preferred extras like building tool-using agents, MCP/API design, and distributed/cloud ML experience.

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

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer for the Agentic Search team within Search Relevance to build systems that help people and AI agents discover enterprise knowledge and accomplish tasks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol, building evaluation benchmarks, and iterating based on results to improve search behavior, tool use, and interfaces. The role requires owning projects end-to-end from problem definition to deployment, using AI tools for prototyping and learning while respecting enterprise permissions and data boundaries, and collaborating across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML experience, strong Python, experience with LLMs/IR/NLP, experimental design and evaluation, and the ability to lead ambiguous technical projects; desirable extras include experience building tool-using agents, API design, reproducible benchmarks, and cloud ML environments.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer for Agentic Search will build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. The role sits in the Search Relevance team, which brings enterprise search into Atlassian products, third-party AI assistants, and developer workflows, focusing on interpreting intent, planning searches, using tools, and adapting as new evidence becomes available, guided by rigorous evaluation. Responsibilities include delivering agentic search capabilities via APIs and the Model Context Protocol, developing reproducible benchmarks, enabling trustworthy performance comparisons, diagnosing failures, and improving the entire search system based on evaluation results and feedback, while applying advances in LLMs and agent systems. Requirements include a bachelor’s or master’s in CS or equivalent, 4+ years in ML with production experience, strong Python, experience with LLMs/NLP, experiment design, and daily use of AI tools; preferred extras include building tool-using agents, API design for AI agents, reproducible benchmarks, semantic retrieval, and cloud ML environments.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity to help teammates balance family, personal goals, and priorities. The Senior Machine Learning Engineer – Agentic Search role sits in Atlassian’s Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and tools. The team designs systems that interpret intent, plan searches, use tools, and adapt as new evidence emerges, guided by rigorous benchmarks that reflect realistic tasks and aim to improve the full search experience and interfaces. Responsibilities include delivering agentic search capabilities via APIs and Protocols like the Model Context Protocol (MCP), creating reproducible benchmarks, enabling trustworthy comparisons, improving models, tools, and interfaces, and collaborating across product, search, and AI teams while mentoring others and integrating agentic search into customer experiences. Required background includes a CS degree or equivalent, 4+ years of production ML experience, strong Python, experience with LLMs, information retrieval, or NLP, experimental design and evaluation, daily use of AI tools, and the ability to lead ambiguous projects; preferred but not required are experience building agents, APIs/interfaces for AI agents (including MCP), benchmark development, and experience with semantic/hybrid retrieval, LLM fine-tuning, and cloud ML environments like Spark, AWS, or Databricks.

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

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

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The opportunity is with the Spark Growth team, focusing on high-impact experimentation to drive top-of-funnel customer acquisition and build AEO/SEO features that help millions discover Atlassian products. Leadership responsibilities include coaching engineers, fostering an inclusive and high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health to sustain engagement and outcomes. Technical leadership tasks involve owning architectural direction, defining long-term strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS-related degree, experience with distributed systems and cloud infrastructure, and familiarity with AI/ML and cross-functional collaboration with product managers, TPMs, and designers.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity. The opportunity is to join the high-impact Spark Growth team that drives customer acquisition through world-class experimentation, building top-of-funnel experiences and AEO/SEO features so millions can discover and sign up for Atlassian products. The role includes People Leadership & Team Health responsibilities (mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being) and Delivery & Outcome ownership (driving multiple top-of-funnel workstreams, prioritizing trade-offs, and refining agile processes). Technical Leadership & Architecture responsibilities involve setting long-term technical direction, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience and scalability. The role emphasizes meaningful early impact, data-driven decision-making, and requires 5+ years of experience managing software engineering teams, 2+ years managing other engineering managers or senior engineers, a CS degree, and experience with distributed systems, cloud infrastructure, and AI/ML systems.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is with the Spark Growth team, focused on world-class experimentation at scale to drive top-of-funnel customer acquisition and to build AEO/SEO features that help millions discover and sign up for Atlassian products. The position combines People Leadership & Team Health (mentoring, inclusive culture, talent hiring, and monitoring team well-being) with Delivery & Outcome ownership (driving multi-workstream execution, prioritization, and agile process improvements). Technical Leadership & Architecture responsibilities include setting the medium-to-long-term technical direction, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark matters: meaningfully impact early, learn through data-driven experimentation, and work with metrics tied to customer impact, while candidates bring 5+ years leading software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, strong distributed systems/cloud experience, and AI/ML tooling expertise.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. DX, headquartered in Salt Lake City, Utah, is a fast-growing SaaS company that helps engineering leaders build high-performing teams and collects millions of data points daily to provide insights into developer productivity for clients like Pinterest, GitHub, BNY, and Xero. DX has grown profitably, tripling its annual recurring revenue in recent years, and was recently acquired by Atlassian. Joining Atlassian will expand DX’s resources, accelerate growth and R&D, and increase impact for customers. DX emphasizes individual mastery and high performance; in practice, data engineers build and maintain data pipelines, design data models for AI Impact Reports and benchmarks, collaborate with research and engineering, ensure data quality and consistency, support ad hoc requests, and document schemas, transformations, and dependencies for self-serve analytics.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. DX is headquartered in Salt Lake City, Utah, and is a fast-growing SaaS company that helps engineering leaders build high-performing, productive teams. The company collects millions of data points daily to power insights into developer productivity and experience for customers such as Pinterest, GitHub, BNY, and Xero. DX has scaled profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, the core value is mastery—being the best at your craft—and the role involves building data pipelines, designing data models for the AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications, collaborating with research and engineering, ensuring data quality, supporting ad hoc requests, and documenting schemas and processes for self-serve access.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - The Product Data Engineering (DE) organization is seeking a Senior Data Engineer reporting to the Senior Data Engineering Manager. - The role focuses on designing premier data architecture to drive strategic decision-making, translating operational needs into technical requirements, and leading initiatives to improve system efficiency. - Responsibilities include partnering across engineering, mentoring junior engineers, building scalable data solutions, developing ELT/ETL pipelines for large-scale and specialized datasets, designing robust data models, implementing data quality frameworks, owning the end-to-end data lifecycle, participating in on-call rotations, and enabling rapid, self-service data consumption by software teams. - The position requires collaboration with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements.

Atlassian supports flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architecture and solutions to drive strategic decision-making. The role involves collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements and spearheading company-wide efficiency initiatives. Responsibilities include partnering across engineering teams, mentoring junior engineers, designing scalable data solutions, building ELT/ETL pipelines, creating robust data models, implementing data quality frameworks, and owning the end-to-end data lifecycle, including on-call support. They will work with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.