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

Lead Atlassian’s analyst relations program for AI Software Delivery solutions. Build relationships with industry analysts, coordinate responses for major evaluations, translate research into market intelligence, advise product and marketing teams on positioning, and improve analyst engagement through new formats and AI-powered workflows.

Supports product, design, and engineering teams by researching customer needs, competitors, market trends, and AI tools. The intern will translate insights into feature plans, identify product opportunities, build prototypes, collaborate with customers and partners, and help create innovative product solutions. The role requires full-time enrollment in a technical degree program and availability for a 40-hour weekly internship in the Pacific Time Zone.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Leads Atlassian’s AMER Trust Engagement team, overseeing customer trust, security, compliance, privacy, legal, and sales interactions. Responsibilities include team leadership, strategic planning, process and tooling improvements, cross-functional initiatives, enterprise customer escalations, executive briefings, trust strategy presentations, and security and compliance contract negotiations. The role requires extensive experience in security, governance, risk, compliance, cloud environments, AI security, privacy, and enterprise-scale trust programs.

Lead post-sales operational strategy and execution by partnering with senior leaders, coordinating cross-functional programs, defining reporting cadences, translating business questions into analytical requirements, architecting scalable reporting frameworks, improving data quality across Salesforce/Gainsight/Tableau, and using automation and AI to simplify workflows and enable decision-ready leadership materials.

Develop and execute executive social content focused on AI and product narratives across X, LinkedIn, and other platforms. Partner with executives, communications, marketing, and operations teams to shape voice, monitor AI discourse, translate technical concepts into engaging content, establish publishing cadences, advise on public participation, and measure performance to refine strategy.

Build backend-heavy fullstack features for DX Fabric, including scalable REST APIs, React components, software catalogs, scorecards, automated workflows, and agentic capabilities. Optimize PostgreSQL and SQL performance at enterprise scale, implement monitoring and error reporting, review code, and collaborate with product, design, and engineering teams in an Agile environment.

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.

The job description does not include specific responsibilities or qualifications. The role is identified as Principal Data Scientist and may be performed remotely, in an office, or in a hybrid arrangement, depending on the employee’s location and Atlassian’s legal entity availability.

Manage a book of ~40 mid-market accounts to drive new sales and expansion. Own quota ($2-4M), lead cross-functional deal teams, build executive relationships, qualify and close complex multi-threaded SaaS deals using outcome-based selling (MEDDPICC), forecast pipeline, price and negotiate contracts, collaborate with channel/marketing/product/customer success, and occasionally travel for customer meetings and team events.