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

Leads customer-facing delivery of production-grade data and AI solutions for government clients. Owns architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications using Databricks. Guides customers, collaborates with engineering and product teams, delivers technical projects, resolves implementation issues, and creates reusable frameworks. The role requires enterprise stakeholder management, customer immersion, technical training, documentation, and 25% travel to client sites.

Senior Solutions Architect partnering with sales, customers, and product teams to design big data, data engineering, data science, machine learning, and SQL solutions. Responsibilities include developing architectures, implementing proofs of concept, validating cloud and third-party integrations, advising on competitive landscapes and best practices, and promoting Databricks open-source projects. The role requires strong distributed data systems experience, Python and SQL proficiency, public cloud expertise, and customer travel.

Serve as a strategic People Partner to corporate-function leaders, translating people strategy into business outcomes. Own performance, compensation, talent review, culture, and organizational programs; provide organizational insights using people data; coach VP and executive leaders; support organizational change, talent strategy, and leadership effectiveness; and develop AI-enabled workflows and scalable people analytics solutions.

Leads end-to-end development of full-stack web and mobile applications, data pipelines, AI-powered integrations, authentication systems, and deployment automation for internal employee experience tools. Owns architecture, implementation, reliability, stakeholder management, roadmap planning, and technical documentation. Mentors engineers, establishes software development standards, and collaborates with Security, Legal, HR, Finance, and Engineering teams.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Provides U.S. and global employment-law advice on compensation, benefits, pay equity, recruiting, mobility, immigration, employee privacy, HR AI, and M&A. Drafts employment documents, supports disputes, leads cross-border projects, advises on workforce technology and AI governance, monitors legal developments, and develops scalable legal processes. Partners with People, recruiting, privacy, tax, security, corporate development, and regional legal teams in a fast-moving technology company.

Lead legal support for strategic technology partnerships and complex alliance transactions. Responsibilities include negotiating term sheets and agreements, coordinating cross-functional stakeholders, advising senior leadership, securing approvals, ensuring legal and policy compliance, supporting post-signing integration, and developing scalable partnering processes and templates. The role focuses on AI, cloud, data-platform, open-source, OEM, resale, and marketplace transactions.

Provide end-to-end product legal counsel to engineering, product, marketing, commercialization, and communications teams. Advise on data privacy, AI, cybersecurity, technology transactions, product risks, and global regulations. Draft and negotiate product and security-related agreements, including DPAs and BAAs; assess vendor data flows; support incident response; and improve legal processes. The role requires strong business judgment, technical understanding, communication skills, and at least eight years of relevant legal experience with state bar membership.

Build and execute Databricks’ venture capital and private equity ecosystem strategy. Develop investor relationships, create founder and portfolio-company programs, generate qualified introductions, and connect companies with sales and technical teams. Lead workshops, briefings, events, portfolio reviews, and executive communications while measuring program conversion and value. Collaborate with startups, sales, field engineering, marketing, and partners to deliver data and AI outcomes, strengthen investor engagement, and support new-account acquisition and expansion.

Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.