Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead enterprise sales for named accounts or territory: develop strategic account plans, build C-level relationships, negotiate complex contracts, collaborate cross-functionally, forecast and close deals, and drive expansion and customer success across Atlassian products.

Own and grow a named strategic account portfolio: develop and execute account/territory plans, build C-level relationships, identify upsell/cross-sell opportunities, lead complex negotiations, coordinate cross-functional teams and partners, provide forecasts, mentor junior sellers, and travel to meet customers and attend events.

Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services.

Lead the design vision for Jira's AI transformation, managing a team of designers to create experiences where AI systems collaborate with human teams.

Senior full-stack engineer who builds backend-heavy features and customer-facing React UIs. Own end-to-end delivery: design, implement, test, monitor, and iterate on scalable RESTful microservices using raw SQL and cloud patterns. Collaborate with product and design, review code, ensure reliability, security, and data correctness.

Lead and coordinate high-severity incident response in a complex cloud/SaaS environment. Manage a team of 5–8, improve response playbooks, metrics, tooling, and run post-incident reviews. Drive adoption of investigative AI and automation, partner with cross-functional stakeholders for investigation, containment, recovery, and reporting, including regulated or high-trust contexts.

Lead data science efforts to inform product and business strategy through quantitative analysis, experimentation, forecasting, and storytelling. Partner with cross-functional teams to define hypotheses, measure impact, influence roadmaps, present insights to senior leadership, and monitor key product metrics to drive value.

Set technical vision and build AI foundations used across Atlassian: prototype and write code, build scalable AI infrastructure, measure AI effectiveness, provide context and cost-efficient compute, partner with product teams, and mentor senior engineers.