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Design end-to-end AI-first service management experiences for Jira Service Management, spanning research, interaction design, information architecture, prototyping, visual design, and UI implementation. Collaborate with engineering, product, marketing, and analytics teams to solve complex customer problems, measure outcomes, and deliver accessible, high-quality experiences at scale. Contribute to design culture and mentor or inspire fellow designers.

Develop and implement machine learning algorithms and production models, including forecasting models, for Atlassian products and internal platforms. Design model and system features, conduct experiments and evaluations, collaborate with engineering and analytics teams, and guide junior ML engineers. The role requires scalable ML solutions using large datasets, strong communication, and practical, iterative development.

Design and build platform components spanning API gateways, authentication, developer SDKs, compiler and code-generation pipelines, and integration lifecycle management. Improve reliability, security, scalability, and time to production for third-party integrations. Own services through design, deployment, on-call, and incident response while partnering with engineering teams, mentoring junior engineers, and contributing to code and design reviews.

Lead high-visibility commerce platform programs spanning billing, quoting, subscription management, payments, financial controls, and platform migrations. Define strategic roadmaps, translate business and compliance needs into delivery plans, coordinate Product, Engineering, Finance, Tax, Operations, and GTM stakeholders, manage dependencies and risks, establish governance, and mentor technical program managers.

Leads multi-year technical programs for Atlassian’s Commerce Platform, including billing, quoting, subscriptions, platform APIs, migrations, availability, and financial controls. Defines technical strategies and roadmaps, translates business and compliance needs into system initiatives, aligns Engineering, Product, Finance, Tax, Billing Operations, and Go-to-Market teams, manages dependencies and delivery governance, and mentors Technical Program Management professionals.

Build and maintain scalable, high-performing frontend applications and systems. Collaborate with engineers, designers, and managers to solve user problems, contribute to code reviews and documentation, resolve complex bugs, and lead projects through design, implementation, launch, and operation. Mentor junior engineers and help develop reliable software for Atlassian’s cloud and core product suite.

Design, build, and operate Atlassian’s foundational data platform, including Flink streaming ingestion and MPP query systems such as StarRocks. The role owns architecture, production reliability, performance, cost, data quality, observability, code reviews, complex problem resolution, cross-team initiatives, and mentoring. Candidates need strong distributed-systems and data-engineering expertise, coding skills in Java, Scala, or Python, cloud infrastructure experience, and operational experience with high-scale platforms.

Build full-stack software features, REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, content management integrations, and reliable services. The role requires collaboration with engineering, UX, and visual design teams, plus experience with JavaScript/TypeScript, Java, React, Node.js, cloud platforms, REST integrations, enterprise content management systems, and related server technologies.

Partner with enterprise sales teams and channel partners to understand customer challenges, identify expansion opportunities, and map needs to Atlassian solutions. Deliver compelling product demonstrations, lead technical evaluations, provide implementation guidance, solve customer problems, and support deal closure. Act as a product expert and customer advocate by sharing feedback and competitive insights with product teams.

Lead the design, development, deployment, and continuous improvement of AI/ML solutions using Rovo. Build enterprise integrations with Python or JavaScript, APIs, and microservices; manage AI risk, privacy, and compliance; influence product direction; mentor engineers; and align technical solutions with customer and business objectives.