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

Develop data-driven insights, machine learning and optimization models, experiments, metrics, and diagnostic tools for Uber Direct’s global logistics products. Collaborate with product, engineering, and operations teams to identify growth opportunities, prioritize initiatives, improve production systems, and influence leadership through clear technical communication. The role requires leading complex projects from concept through production and working with large-scale datasets.

Design, develop, configure, and support enterprise ServiceNow solutions across ITSM, CMDB, workflow automation, Now Assist, and core platform capabilities. Build integrations, CI/CD pipelines, and governance standards; manage CMDB health and citizen development; troubleshoot platform issues; and promote secure, scalable, API-driven solutions. The role also requires documentation, training, stakeholder collaboration, and continuous improvement of ServiceNow functionality and performance.

Lead product strategy and roadmap for AI-driven personalization products at Uber. Define requirements, prioritize features, and partner with engineering, data science, and design teams to deliver scalable AI experiences. Drive innovation in personalization, unified agent context, retrieval, ranking optimization, analytics, and generative AI while serving as an AI product thought leader.

Own a strategic Membership and Loyalty vertical end-to-end, including strategy, roadmap development, data-driven initiatives, cross-functional execution, stakeholder alignment, and executive reporting cadences. The role requires an autonomous operator who can identify opportunities, translate data into actionable insights, influence stakeholders, and drive measurable business outcomes with minimal oversight.

Develop and own production machine learning models for Uber One offer targeting, incentive allocation, and personalized membership messaging. Responsibilities include uplift modeling, budget-constrained optimization, ranking and sequencing, experimentation, real-time and batch deployment, monitoring, retraining, and cross-functional translation of business goals into ML solutions.

Lead software engineering projects for Uber’s Autonomous Mobility & Delivery team. Develop strategic roadmaps, technical designs, scalable backend services, and products supporting autonomous vehicle rideshare experiences. Collaborate across product, design, business, legal, operations, and external engineering teams to deliver reliable systems, improve KPIs, and future-proof Uber’s technology stack for autonomous vehicle use cases.

Architect and build highly reliable, scalable backend systems powering Uber One memberships across UberEats and UberX. The role involves platform evolution, microservices and API design, technical strategy, cross-functional collaboration, architectural decision-making, production deployment, monitoring, incident management, and engineering excellence. The engineer will lead complex technical initiatives and develop systems serving millions of global users.

Lead scientific strategy for Uber Eats logistics and marketplace optimization. Translate complex problems into experiments and production solutions using causal inference and optimization. Drive end-to-end product development, establish experimentation standards, improve model and process efficiency, influence executive roadmaps, and ensure scalable, observable technical solutions. Partner cross-functionally across Uber to improve marketplace resilience and efficiency for eaters, merchants, and couriers.

Leads Uber’s global Platform Integrity organization across safety, identity, risk, payments, compliance, and customer actioning. Sets multi-year strategy, operating models, performance frameworks, governance, and quality standards for complex customer issues. Partners with Product, Engineering, Data Science, Legal, Policy, and regional operations to improve prevention, investigation, resolution, automation, AI, and customer outcomes. Builds senior leadership teams, manages regulatory and platform risk, and represents integrity performance and priorities to executives.

Serve as a strategic operational partner to the Chief Technology Officer by managing complex calendars, domestic and international travel, action items, events, budgets, expenses, confidential information, and facility planning. The role requires supporting high-level executives in a fast-paced global environment, coordinating stakeholders, leading executive assistant teams, and proactively resolving logistical challenges.