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

Build and operate enterprise AI integration products, including MCP servers, agent-facing APIs, React and TypeScript experiences, semantic retrieval systems, and automated AI quality evaluations. Improve latency, reliability, token efficiency, observability, and security across distributed systems. Lead cross-functional engineering initiatives, mentor engineers, and implement enterprise safeguards such as tenant isolation, audit logging, OAuth, and prompt-injection defenses.

Lead commercial legal support for enterprise sales across multiple regions. Negotiate SaaS and cloud agreements, advise on contract, data protection, cybersecurity, and revenue recognition issues, and guide complex customer transactions through execution. Partner with Sales, Privacy, Trust, Finance, Product, and other teams; develop training materials; educate business stakeholders; and lead projects that scale Legal and Sales operations.

Lead architecture and delivery of a secure, low-latency Kubernetes-based compute platform for AI agents and untrusted workloads. Own isolation, scheduling, lifecycle, networking, policy, observability, and control-plane capabilities across GCP and AWS. Drive cross-team outcomes from design to adoption, improve developer experience via APIs and automation, and champion reliability, security, performance, and cost efficiency while mentoring engineers and setting technical direction.

Develop and deploy machine learning and LLM capabilities for agentic search, query understanding, search planning, and retrieval. Build evaluation datasets, improve model behavior through experimentation and fine-tuning, and optimize quality, latency, cost, and reliability. Collaborate across search, product, infrastructure, and AI teams while owning projects through production and mentoring engineers.

Lead Advisory Services engagements for strategic and enterprise clients using Atlassian solutions. Serve as the primary client contact, manage scope, resources, projects, and programs, accelerate time to value, monitor outcomes, and identify expansion opportunities. Build long-term client relationships, communicate value, and collaborate with internal Atlassian teams to deliver solutions. Travel domestically and internationally up to 30% of the time.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

AI Demand Intelligence Intern supporting Atlassian’s Global Demand Campaigns team. Responsibilities include enriching account and prospect data, applying propensity and next-best-action models, building a human-in-the-loop AI nurture agent, generating seller-ready account briefs, delivering Slack notifications, and measuring campaign impact through a controlled pilot. The intern will collaborate with demand generation, product marketing, sales, and marketing operations teams.

Paid 12-week marketing internship focused on engaging C-suite and enterprise audiences. Responsibilities include auditing thought leadership content, developing persona-based messaging frameworks, mapping event nurture journeys, packaging customer advocacy stories, creating executive enablement assets, and collaborating with brand, product, customer, demand, regional, partner marketing, and GTM teams.

Build and evaluate applied machine learning and Generative AI solutions for product and business problems. Interns will contribute to models, agents, retrieval, experimentation, evaluation, and prototyping with mentorship from experienced engineers. Responsibilities include translating business needs into technical projects, analyzing errors and user feedback, measuring outcomes, and clearly documenting findings, trade-offs, limitations, and next steps.

Develop and activate brand architecture, portfolio strategy, positioning, naming, and identity systems across Atlassian’s multi-product portfolio. Partner with Product, Design, Marketing, Communications, and Research teams to create cohesive customer experiences. Operate the Brand Intelligence Engine, using AI-assisted research and customer, market, and competitive signals to guide brand and go-to-market decisions. Influence senior technical stakeholders and translate complex product decisions into actionable brand direction.