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

Own the Uber for Business lead funnel from entry through seller action. Manage LeanData routing, assignment rules, SLAs, funnel metrics, speed-to-lead, reporting, support, and workflow automation. Diagnose process issues, reduce manual work, improve seller experience and conversion, and drive cross-functional solutions with Sales, Marketing, Operations, Engineering, and vendors. Identify opportunities for self-service and AI-enabled support while ensuring operational problems are clearly communicated and resolved.

Manage and grow strategic airline and hotel partnerships across Uber’s consumer loyalty portfolio. Own partnership governance, contractual execution, growth strategies, business reviews, renewals, and expansions. Lead cross-functional initiatives involving business development, operations, product, finance, legal, policy, and marketing teams. Build senior-level partner relationships, resolve escalations, monitor performance, and identify opportunities to increase long-term value for Uber and its partners.

Leads Uber’s global acquisition operations strategy across lead, opportunity, and deal management. Designs scalable processes, establishes global standards, defines Salesforce and tooling requirements, and partners with Product and Engineering on implementation. Uses funnel and pipeline analytics to prioritize investments and monitor performance. Influences senior stakeholders, leads global change enablement, establishes CoE quality standards, and mentors acquisition operations professionals across regions.

Architect and develop highly scalable Android experiences and backend platforms for Uber One membership across UberEats and UberX. Lead technical strategy, Android feature development, platform evolution, microservices and API design, architectural improvements, testing and monitoring standards, incident management, and end-to-end delivery of complex technical projects. Collaborate with engineers, product managers, data scientists, designers, and external partners to deliver reliable products used globally.

Own the configuration, security, lifecycle, integrations, and operational health of enterprise SaaS applications. Resolve complex Tier 3 incidents, lead outage responses, build automation using Python, JavaScript, APIs, and enterprise AI tools, and analyze usage data with BigQuery and Hive. Partner with Engineering, Security, IT Operations, and business stakeholders while maintaining documentation, compliance, licensing, and support processes. Participate in on-call rotations and provide escalation guidance across Uber.

Lead product strategy for Uber’s location, movement, and activity understanding systems. Partner with engineering and machine learning scientists to develop technically complex products involving geospatial data, sensors, real-time systems, safety, fraud, and autonomous vehicles. Drive cross-functional initiatives, experimentation, global scaling, and customer-facing experiences across Uber’s mobility and delivery businesses.

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.

Acquire and onboard local and regional SMB merchants for Uber Eats through high-volume cold calling, in-person meetings, contract negotiations, and persuasive product communication. Manage a territory pipeline, meet sales quotas, adapt to performance metrics, and collaborate with Operations and Account Management to ensure successful partner onboarding.

Owns Uber’s U.S. immigration service delivery and compliance program. Responsibilities include monitoring regulatory changes, managing employment-based immigration policies and escalations, supporting corporate transactions and organizational changes, overseeing external immigration vendors, educating stakeholders, analyzing program metrics, and driving process improvements across global mobility initiatives.

Own end-to-end AI data verticals, building scalable machine learning and backend distributed systems while driving product strategy, revenue, customer growth, and market expansion. Partner with strategic customers, solve complex production ML challenges, and lead applied AI initiatives involving evaluation, physical AI, multimodal systems, and LLMs. The role requires founder-minded technical and business ownership in an ambiguous, high-growth environment.