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

Leads Lyft’s global People Business Partner organization and enterprise workforce planning. Advises the Chief People Officer and executive team on people strategy, organizational design, leadership development, change, and workforce investment. Owns HR due diligence and integration for international M&A, including retention, compensation harmonization, works-council considerations, and Day 1 readiness. Partners cross-functionally to modernize People operations, technology, and employee self-service while building an agile, inclusive, high-performing People function.

Develop and launch backend software supporting Lyft’s airport operations and real-time communications. Responsibilities include designing and maintaining tested code, leading features from concept through deployment, participating in code reviews and on-call rotations, troubleshooting production issues, explaining technical tradeoffs, and managing project priorities and deliverables in a collaborative cross-functional environment.

Develop and maintain foundational iOS infrastructure, networking, architecture, UI frameworks, and shared components used by Lyft mobile engineers. Collaborate across engineering and design teams to define mobile architecture, improve developer productivity, reduce development friction, support iOS engineers, and contribute to open-source projects. The role emphasizes scalable, reliable Swift code, clean APIs, mentoring, documentation, and leading projects from concept through completion.

Leads the technical direction, architecture, and development of scalable claims-management systems for Lyft’s insurance platform. Builds AI automation using multimodal LLMs, RAG pipelines, and agentic workflows to improve claims operations. Partners with Engineering, Data Science, Product, Claim Operations, and insurance providers; drives roadmap decisions, integrations, reliability, testing, code reviews, incident response, and engineering best practices.

Backend software engineering internship focused on owning projects, writing reliable and tested code, participating in code reviews, refactoring, and supporting continuous integration and deployment. Interns collaborate with experienced engineers and contribute to user-facing Lyft products. The role requires strong computer science fundamentals, database experience, familiarity with real-time technology and mobile development, and availability for a Summer 2027 hybrid internship in San Francisco.

Lead and grow a firmware engineering team developing embedded systems for e-bikes, scooters, batteries, docks, and charging infrastructure. Set technical direction for IoT, powertrain, battery management, OTA updates, diagnostics, safety, and fleet operations. Manage roadmaps, staffing, releases, hiring, and performance. Partner cross-functionally on product development, regulatory certification, reliability, and sustaining engineering while establishing CI/CD, HIL testing, code review, and incident response practices.

Data Science Interns develop mathematical, optimization, machine learning, and statistical models for Lyft’s marketplace and transportation platform. Responsibilities include exploratory data analysis, production modeling, algorithm implementation, simulated and live experiments, experimental analysis, and communicating findings to support launch decisions. Interns collaborate with engineers, product managers, and cross-functional teams.

Lead strategic sourcing and end-to-end procurement across indirect technology categories. Manage supplier relationships, negotiate complex contracts, deliver cost savings, develop category strategies, and improve sourcing processes through technology and data analytics. Responsibilities include market analysis, RFx development, supplier evaluation, stakeholder management, contract negotiation, and overseeing multiple projects.

Manage enterprise customer relationships for Lyft Business, partnering with Fortune 500 organizations to design, sell, and implement transportation solutions. Drive account growth through upsells and cross-sells, maintain sales pipelines and forecasts, conduct business reviews, and develop account strategies. Collaborate cross-functionally with Product, Engineering, Marketing, Legal, and Sales Operations while representing customer needs and promoting Lyft Business products.

Design, implement, and deploy machine learning models and systems for recommendations and related problems. Collaborate with engineers, data scientists, and product partners to analyze data, build proofs-of-concept, develop ML/optimization models, write production-quality code, and evaluate models against business goals.