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

Acquire new small and midsize merchants for Uber Eats through prospecting, cold calling, emailing, relationship building, and contract negotiation. Communicate product value, meet sales targets, coordinate merchant activation with Operations and Account Managers, maintain an organized pipeline, and develop long-term regional partnerships.

Lead machine learning engineering for fraud prevention and account integrity. Shape technical roadmaps, formulate problems, design and productionize large-scale ML systems, oversee model pipelines and system architecture, conduct A/B testing, and manage rollouts. Mentor and develop MLE talent while applying machine learning, statistics, and optimization techniques to real-world risk and trust challenges.

Leads Uber’s remote assistance product for autonomous vehicle operations. Owns strategy, roadmap, operator tooling, escalation workflows, partner integrations, metrics, safety guardrails, and launch readiness across markets and vehicle platforms. Collaborates with engineering, autonomy, operations, safety, legal, policy, and external partners to build reliable human-in-the-loop systems, improve intervention quality, and scale commercial AV deployments.

Lead consumer product strategy and lifecycle growth initiatives that acquire and retain users, increase orders, and improve engagement. Partner with Design, Data Science, Engineering, Marketing, and regional teams to identify opportunities, run data-driven experiments, communicate strategy, and deliver measurable product outcomes. The role requires strong customer empathy, product intuition, leadership, and the ability to remove delivery obstacles.

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.

Leads global advertising sales enablement strategy and execution, building scalable seller capability programs, supporting product and technology adoption, measuring commercial impact, and managing a global enablement team. Partners with Sales, Operations, Product, Marketing, and regional leaders to improve seller productivity, solution selling, account planning, negotiation, pipeline health, and customer outcomes through data-driven programs and AI-enabled tools.

Leads a global portfolio of complex M&A People integrations, governing end-to-end HR workstreams across jurisdictions. Responsibilities include resolving compensation, labor relations, HRIS migration, mobility, due diligence, organizational design, change management, and post-close integration challenges. The role partners with Corporate Development, Legal, Finance, and IT, defines success metrics, manages execution risk, and advises executive leadership on deal structuring and integration strategy.

Build and scale machine learning and backend distributed systems for Uber AI Solutions. Own an AI product vertical end to end, driving technical direction, customer value, revenue, adoption, and market growth. Partner with product and business leaders, guide strategic customer relationships, make decisions in ambiguous environments, and build high-performing teams. The role focuses on production ML, GenAI and LLM systems, evaluation, multimodal data, and other applied AI domains.

Design and operate highly available, high-throughput backend services and distributed systems for Uber’s shared Core Services platform. Shape multi-year technical roadmaps, architectural standards, and foundational infrastructure. Lead development of concurrent microservices, observability, load testing, zero-downtime deployments, and resilient multi-region systems. Collaborate across product and engineering teams while mentoring engineers and driving organization-wide engineering excellence.