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

Design and build scalable ML infrastructure and backend systems for high-impact marketplace applications. Lead architecture, solve low-latency and high-correctness problems, develop and adopt engineering frameworks, and create production-ready technical roadmaps. Partner with Product, Science, and Operations while mentoring engineers and improving engineering standards. The role requires experience with ML models, foundational models or LLMs, MLOps, Kubernetes, data pipelines, distributed workflows, and large-scale scheduling.

Provides regulatory legal advice for Uber’s U.S. Mobility and Delivery operations. Responsibilities include advocacy before government agencies, managing regulatory inquiries and investigations, analyzing and drafting legislation, advising on product launches, developing cross-functional legal strategies, and resolving significant regulatory and operational risks. The role requires regulatory, white-collar, or litigation experience and a U.S. law license.

Analyze Uber’s earner marketplace, pricing, matching, incentives, and performance using large datasets and experiments. Investigate marketplace trends, develop data-backed recommendations, evaluate tradeoffs and rollout plans, and support launches and optimization initiatives. Partner cross-functionally with Product, Engineering, Data Science, and Operations to improve marketplace efficiency, reliability, and driver experience while translating complex technical and analytical findings into business decisions.

Lead strategy, vision, and roadmap development for Uber Eats consumer affordability and experience products. Collaborate with Design, Data Science, Engineering, Operations, and executive stakeholders to identify opportunities, run data-driven experiments, improve customer journeys, and deliver business outcomes. Lead geographically distributed teams, remove delivery obstacles, optimize performance metrics, and own end-to-end consumer product experiences.

Own and ship agentic AI products for Uber’s customer experience platform. Define product strategy, roadmaps, requirements, success metrics, and tradeoffs while partnering with Engineering, Data Science, Design, User Research, and Operations. Improve agent quality through evaluation, experimentation, simulations, observability, debugging, and human feedback. Use customer insights and performance data to iterate on AI-powered experiences and drive cross-functional execution from discovery through launch.

Manage and grow a portfolio of small and medium-sized restaurant partners on Uber Eats. Build long-term relationships, negotiate solutions, resolve merchant issues, use data and KPIs to identify growth opportunities, drive adoption of platform features and marketing services, and collaborate with operations, marketing, and product teams. The hybrid San Francisco role requires quarterly travel to Seattle.

Lead cybersecurity diligence, integration, and operational security efforts for acquisitions, investments, and subsidiaries. Assess cyber maturity and risks across cloud, on-premises, identity, endpoint, SaaS, and engineering environments. Build automation, integrations, security tooling, and telemetry workflows; deploy security services; and support incident response, containment, remediation, and recovery. Partner with security, IT, legal, privacy, corporate development, and business stakeholders while communicating technical risk and improving security resilience.

Manage a large business-to-business collections portfolio, resolve payment discrepancies and disputes, collaborate with sales, customer service, finance, and outsourced BPO teams, and report collection metrics to management. The role develops collection strategies to improve cash flow and reduce DSO while maintaining customer relationships and adapting to debt recovery and credit management regulations.

Own sales compensation strategy, incentive plan design, job architecture, leveling, benchmarking, and compensation analytics. Partner with Sales Operations, HR, Finance, Legal, and leadership to model commission structures, assess financial risk, forecast ROI, analyze plan effectiveness, and communicate compensation changes. The role requires strong financial modeling, data analysis, stakeholder influence, and experience in high-growth technology environments.

Leads Uber Advertising’s US sales organization, owning revenue strategy, commercial execution, quota and pipeline discipline, forecasting, and operational scaling. Partners with Product, Engineering, Marketing, Finance, Legal, and Operations to shape advertising products, inventory, measurement, pricing, and go-to-market strategy. Builds a high-performance culture, recruits and develops multi-tier sales leadership, manages major advertiser and agency relationships, and drives growth across a rapidly scaling ad-tech marketplace.