Jobs at Atlassian

The Principal Solutions Engineer partners with enterprise sales teams and channel partners across strategic DACH accounts. Responsibilities include customer discovery, tailored product demonstrations, proof-of-concept development, interactive workshops, competitive positioning, and collaboration with internal stakeholders to support transformation deals and expansion opportunities. The role requires fluent German and English, strong executive communication skills, at least six years of sales engineering experience, and occasional travel.

Leads and develops a team of Strategic Account Managers serving complex enterprise customers. Owns retention, expansion, forecasting, account planning, and revenue performance while partnering with Sales, Services, Channel, and Customer Success. Coaches teams on strategic deal execution, executive engagement, and customer lifecycle management. Drives hiring, professional development, operational improvements, and adoption of Atlassian’s enterprise go-to-market model. Requires German fluency and familiarity with DACH sales dynamics. The role is fully remote but UK-based.

Design, build, and maintain scalable, high-performing frontend systems and user interfaces. Collaborate with engineers, designers, and managers to solve user problems; lead technical design, implementation, launches, code reviews, documentation, and complex fixes. Mentor engineers, contribute to frontend testing and release practices, and help deliver reliable software across Atlassian’s cloud product suite.

Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.

Provides strategic technical consulting to enterprise customers using Atlassian Cloud, AI, and related solutions. Responsibilities include solving business challenges, developing prescriptive technical guidance, supporting cloud migrations, designing AI proof-of-concept solutions, promoting service expansion, advocating for customer needs, and collaborating across internal teams. The role requires customer-facing expertise, strong knowledge of Atlassian ecosystems and SaaS architectures, and up to 30% domestic and international travel.

Designs and maintains SaaS integrations, middleware, APIs, webhooks, automation scripts, and data pipelines. Optimizes enterprise software usage, supports AI integrations, troubleshoots complex technical issues, manages vendors and SLAs, tracks licensing and budgets, and translates business needs into technical requirements.

Drive scaled digital customer success programs that increase product adoption and retention. Align messaging across email, in-app, community, learning, AI, and human channels; use product telemetry and customer data to guide experimentation; optimize content distribution and persona targeting; and build automated pathways between digital experiences and frontline teams. Lead cross-functional initiatives across Product, Marketing, Data Science, and Customer Success using data-backed hypotheses and rigorous execution.

Leads enterprise sales for Jira Service Management across Canadian named accounts and territories. Develops territory strategies, drives ITSM and service transformation adoption, manages executive relationships, partners with channel organizations and internal teams, communicates business value and ROI, and supports strategic customer engagements. Requires strong ITSM expertise, enterprise software field sales experience, cross-functional collaboration, and a record of exceeding sales targets.

Leads EMEA Customer Success Architects responsible for enterprise adoption of Atlassian Cloud Platform, Strategy Collection, and AI solutions. Develops global technical adoption strategies, launches scalable programs and best practices, oversees implementation governance, and serves as executive sponsor for key accounts. Manages and develops a high-performing team while partnering with Sales, Product, Customer Success, and Engineering to improve customer outcomes, satisfaction, and operational efficiency.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Owns mid-market accounts across the Nordics, developing territory plans, prospecting, closing SaaS and enterprise software deals, and driving cross-sell, upsell, and expansion. Builds customer relationships, delivers product demonstrations, forecasts sales, and collaborates with channel partners, product specialists, customer success, account managers, and solution engineers. Requires occasional client and event travel, fluent English, and Nordic market experience.

Manage the full customer lifecycle, including implementation, adoption, success planning, renewals, and expansion. Partner with customers to drive engineering transformation, align business goals, develop high-value use cases, and integrate DX into workflows. Track account metrics, forecast renewals, address risks, lead executive discussions, and collaborate cross-functionally to improve customer outcomes.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Lead end-to-end sales for Atlassian's Service Collection (ITSM/ESM) across assigned territory. Build territory and account plans, partner with account teams, co-sell with solution partners and GSIs, drive new business and expansions, engage senior stakeholders, and meet or exceed quota.

Lead technical direction and implementation of large-scale product features, delivering secure, reliable, maintainable full-stack software. Collaborate with product, design, and engineering teams, address production issues, conduct code reviews, document solutions, and mentor teammates. Build and test front-end and server-side systems using modern frameworks, APIs, databases, and data-driven development practices.

Manage retention and growth for complex enterprise customers across the Greater China Region. Own the customer lifecycle, account strategy, forecasting, renewals, expansions, upsells, and cross-sells. Partner with sales, services, channel, and customer success teams to execute strategic plans, navigate enterprise procurement and security workflows, and maintain customer health. The role requires fluent English and Mandarin, enterprise SaaS sales experience, strong CRM and forecasting skills, and familiarity with GCR business dynamics.

Lead technical strategy and joint solution architecture with Accenture, designing enterprise AI, graph, integration, and cloud-platform offerings. Drive partner enablement through architecture sessions, hackathons, bootcamps, proofs of concept, and reference architectures. Collaborate with sales, alliances, product, and engineering teams on strategic enterprise transformations, while influencing platform capabilities and supporting co-delivery governance.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Lead 2–3 scrum teams comprising 12–20 people while shaping Jira Platform capabilities, technical strategy, architecture, and engineering practices. Drive AI transformation, enterprise readiness, scalability, security, reliability, and operational excellence. Mentor engineers, collaborate with principal engineers and global stakeholders, define direction amid ambiguity, and deliver strategic platform and product outcomes in a distributed SaaS environment.

Leads Atlassian’s investor relations strategy, including corporate narrative, quarterly earnings, financial disclosures, executive briefings, investor and analyst engagement, Investor Day, market sentiment analysis, and cross-functional messaging. Partners with Finance, Legal, Communications, Product, Strategy, Corporate Development, and Data Science while representing the company with institutional investors and Wall Street analysts.