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

Participate in a 12-week product design internship focused on creating accessible, user-centered experiences across Atlassian products. Collaborate with product managers, engineers, researchers, and designers to understand customer needs, prototype solutions, conduct usability testing, apply research and product data, and contribute to design systems and documentation. The role emphasizes AI-powered experiences, teamwork tools, interaction design, visual design, and systems design.

Lead strategic vision and end-to-end product design for Atlassian’s Rovo and AI experiences across Jira, Confluence, Bitbucket, and other products. Drive systems thinking, visual and interaction design, design reviews, design systems, cross-functional alignment, customer-value outcomes, success metrics, and design craft coaching. Partner with engineering, product, research, content, marketing, and analytics teams to improve AI and search experiences across the Atlassian portfolio.

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, content management system integrations, and reliable features and services. The role requires JavaScript or TypeScript experience with React and Node.js, REST platform integrations, Git collaboration, HTML and Sass/CSS, server technologies, and cross-functional work with UX and visual designers. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Partners with Sales leadership to analyze business performance, identify risks and opportunities, and improve go-to-market execution. Leads forecasting, pipeline and business reviews, strategic initiatives, annual planning, and operational improvements. Collaborates with Finance, Analytics, Compensation, Enablement, Systems, and Operations teams on capacity, territories, quotas, coverage, and investment decisions. Builds scalable, automated processes and drives cross-functional alignment and accountability.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

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.

Manages enterprise customer relationships after purchase, guiding adoption, value realization, expansion, and retention for Atlassian solutions. Develops success plans, conducts executive business reviews, identifies risks, supports strategic outcomes, and represents customer feedback internally. Requires business-fluent English and Spanish for customers across Latin America and the United States, plus experience with complex SaaS portfolios, Jira, Confluence, JSM, Gainsight or similar CRM, Salesforce, and Tableau.

Lead the design, development, deployment, and optimization of production machine learning systems for search, recommendations, personalization, NLP, deep learning, and AI applications. Own projects across the full ML lifecycle, design scalable architectures and evaluation strategies, collaborate with product and engineering teams, translate research into reliable systems, and mentor other engineers.

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.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.