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

Owns advanced advertising and demand generation solutions for mid-market restaurant merchants. Identifies upsell and cross-sell opportunities, develops and pitches campaigns, manages Salesforce pipeline and agreements, coordinates implementation, monitors performance and budgets, supports reporting, resolves billing issues, and collaborates with account managers, operations, product, and technical teams.

Manages global earner and partner payment accounting processes, leading finance transformation, process design, data governance, reconciliations, controls, SOX compliance, reporting, and automation. The role owns payment lifecycle data integrity, develops policies and KPIs, supports new business models, manages a US service desk, and partners with stakeholders to implement digital and operational improvements.

Own executive sourcing strategy for Uber’s US&C technology teams, focusing on Director-level and above talent. Responsibilities include market mapping, candidate identification and engagement, preliminary screening, search documentation, database management, talent intelligence, and partnership with executive recruiters and business stakeholders. The role maintains high-quality search processes and develops diverse senior talent pipelines.

Define scientific strategy and technical roadmaps for real-time rider pricing and incentive systems. Lead pricing algorithm architecture, experimentation standards, causal inference frameworks, and marketplace optimization at global scale. Translate statistical and economic insights into executive recommendations, guide junior scientists, and partner with Product and Engineering to productionize high-impact solutions.

Lead and coach Account Managers serving restaurant partners across Northern California. Own regional commercial strategy and performance, monitor pipelines and dashboards, drive product and marketing tool adoption, and resolve growth blockers through cross-functional collaboration. Build trusted partnerships, manage complex portfolios, navigate ambiguity, and balance short-term sales targets with long-term partner health.

Defines the multi-year technical vision and architecture for foundation models supporting search, recommendations, personalization, and conversational AI. Leads high-impact ML platform initiatives across Mobility and Delivery, drives retrieval, ranking, and LLM system design, and makes build-versus-partner investment decisions. Provides principal-level technical leadership, mentors senior engineers, aligns executives across organizations, and connects model improvements to measurable business outcomes at global scale.

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.

Leads technical direction and architecture for Uber One membership engineering across growth, retention, benefits, experimentation, and infrastructure. Designs highly scalable distributed systems, coordinates complex multi-team initiatives, drives experimentation and data-informed product development, mentors senior engineers, and partners with Product, Data Science, Marketing, and business leaders to deliver reliable membership experiences across Rides, Delivery, and Grocery.

Develop and deploy computer vision and multimodal models for document understanding, transcription, and verification. Responsibilities include model training, evaluation, production deployment, monitoring, scaling, edge optimization, and building robust evaluation frameworks. The role involves collaborating with infrastructure and product teams, analyzing production failures, and improving model accuracy, efficiency, privacy, and reliability across large-scale applications.

Develop and optimize statistical, mathematical programming, and machine learning models for Uber’s dynamic pricing systems. Analyze marketplace data, design experimentation and causal inference methods, identify algorithm improvements, and deploy solutions with Product, Engineering, and Operations. Build diagnostic tools, logging infrastructure, and marketplace metrics while translating complex analyses into actionable strategies for business leadership.