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

12-16 week internship implementing and optimizing GPU/accelerator kernels and custom operators, profiling and improving LLM inference and runtime performance, building benchmarks, fixing regressions, and shipping code to production or open-source AI infra projects.

Strategic partner to the Co-CEOs driving alignment, execution, and communication across goop’s business, Gwyneth’s media/personal portfolio, and investments. Build AI-enabled Notion dashboards and automations, run executive meetings, prepare board decks and briefings, manage CRM and relationship health, lead cross-functional strategic projects, and support company-wide communications and offsite planning.

Lead paid growth and P&L for a flagship mobile MOBA, set channel strategy across Meta and Google, manage a 2–5 person UA team, partner with creative and data on LTV-driven reporting, MMP/attribution, and scale profitable acquisition across the app portfolio.

Own the end-to-end customer lifecycle: lead onboarding/project management to achieve rapid Time-to-Value, drive adoption and executive relationships, run QBRs, identify upsell opportunities, monitor account health, deliver product demos, and coordinate cross-functional teams. Travel to customer sites as needed.

Own and expand a portfolio of enterprise accounts by leading complex, multi-stakeholder technical sales cycles with engineering buyers. Build pipeline, close five- to seven-figure deals, manage negotiations and forecasting, and collaborate cross-functionally to shape account strategy and product direction.

Lead architecture and implementation of Aragorn AI's frontend: build scalable React/TypeScript applications, evolve micro-frontend architecture, develop and maintain a reusable design system, optimize performance, collaborate with design and backend teams, own CI/CD for frontend, and drive frontend technical standards and documentation.

The Fullstack Application Developer will design, build, and maintain a platform for marketing teams, focusing on both front-end and back-end development while mentoring junior developers.

Lead operational scaling and acquisition integration for a platform, implement systems and reporting (ERP), partner with owners on day-to-day execution, and drive performance management to grow EBITDA and enable M&A-driven expansion.

Own and optimize data infrastructure and ETL/ELT pipelines using SSIS and Microsoft Fabric. Build and maintain SQL Server data warehouse staging, transformations, and lakehouse ingestion. Implement CI/CD, version control with GitHub, monitor pipeline health, troubleshoot data issues, document data flows, and translate stakeholder requirements into data engineering solutions that support BI reporting.

Design, build, and maintain a modern AWS-based data lake/lakehouse and ETL/ELT pipelines ingesting Qualtrics, HubSpot, archival and external datasets. Implement data harmonization, governance, quality, and monitoring. Enable AI/LLM and agentic workflows, support analytics and Qlik integrations, document data assets, and collaborate across teams to produce insights, dashboards, and data products.