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

Lead technical design and execution of complex products and systems while remaining hands-on with coding, architecture, debugging, code reviews, and production support. Make scalable and reliable system decisions, mentor engineers, improve engineering practices and tooling, identify technical risks, and collaborate across engineering, product, design, and AI teams to deliver high-quality products.

Lead a distributed engineering team building and scaling customer-facing financial products. Own delivery, architecture, technical standards, reliability, production outcomes, and engineering processes across frontend, backend, APIs, databases, infrastructure, and integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes. The role requires hands-on technical leadership, strong ownership, product sense, and effective collaboration across product, design, mobile, backend, and AI teams.

Lead and execute high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; research markets and opportunities; identify operational problems and implement solutions; own projects end-to-end and deliver measurable business outcomes.

Lead high-priority, cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; plan and execute projects end-to-end; research markets and products; identify operational improvements; and deliver measurable business outcomes through strong ownership and stakeholder management.

Build and maintain cross-platform Electron desktop apps focused on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI via backend APIs, optimize startup/memory, profile Electron overhead, manage large local state and message history, and ensure stability on macOS and Windows.

Work directly with leadership to drive high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Lead projects end-to-end, build teams and processes, research markets and opportunities, and implement operational improvements to deliver measurable business outcomes.

Design, build, and operate ML infrastructure for training, evaluation, deployment, and inference. Improve reliability, scalability, latency, throughput, and cost. Create pipelines, observability, benchmarking, and tooling to enable fast experimentation and productionization of models while diagnosing regressions and bottlenecks.

Design, build, and ship LLM-powered applications and agent workflows. Integrate models with tools, databases, and services; develop prompting, tool-calling, retrieval, and evaluation systems; improve model behavior, reliability, latency, and cost; and establish observability, experimentation, and production practices for continuous improvement.

Design, build, and deploy AI-powered internal tools and intelligent workflows to automate People, Finance, Recruiting, and operations. Identify improvement opportunities, translate business needs into technical solutions, own end-to-end execution, and collaborate across teams to ship reliable production software and AI integrations.

Lead discovery and delivery of AI-powered internal tools that automate workflows across People, Finance, Recruiting and Operations. Translate business needs into technical solutions, design intelligent automations and integrations, and own end-to-end execution from concept to production in a small, hands-on team.