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

Own and refine financial and profitability metrics, build curated data models, dashboards, and analytical views, and analyze large-scale financial data. Partner with Finance, Product, Operations, and Data teams to support planning, capital allocation, KPI development, reconciliation, and data quality. Design GenAI-powered self-service analytics tools and communicate insights, assumptions, and recommendations to technical and senior business stakeholders.

Manage monthly close, journal entries, accruals, reconciliations, reporting, and SOX controls for global payments and disbursements accounting. Analyze transaction and financial data, investigate discrepancies, support audits and product launches, and partner cross-functionally on process automation, AI adoption, and scalable accounting solutions.

Develop and launch advertising products for Uber’s Mobility business, partnering with engineering, UX, operations, data science, and business teams. The role drives product strategy, revenue growth, user engagement, partner relationships, and performance optimization. It requires strong consumer or advertising product management experience, analytical decision-making, cross-functional leadership, and the ability to lead products from concept through successful launch.

Advise CPG advertisers and agencies on retail media programmatic campaigns. Analyze campaign performance, delivery, benchmarks, and KPIs to recommend revenue growth. Support campaign setup, optimization, troubleshooting, advertiser onboarding, and training. Collaborate with sales, product, engineering, Criteo, and enablement teams to provide technical and operational guidance for self-service campaigns on Uber’s advertising platform.

Acquire and onboard local and regional merchants for Uber Eats through high-volume cold calling, in-person meetings, contract negotiation, and full-cycle sales. Manage a territory pipeline, communicate product value, collaborate with Operations and Account Management, and consistently exceed sales quotas using performance metrics and adaptive strategies.

Lead consultative enterprise sales for Uber Transit, developing partnerships with public transport agencies and local governments. Manage prospecting, complex negotiations, territory strategy, stakeholder relationships, and revenue targets. Collaborate with policy, legal, product, and operations teams to address customer needs, influence product roadmaps, and support implementation. Track performance and manage the full sales cycle using Salesforce.

Architect and evolve Uber One membership platforms serving millions globally. Lead scalable distributed systems, microservices, APIs, architecture reviews, technical strategy, observability, incident response, and technical standards. Partner cross-functionally with engineering, product, data science, and design teams; drive complex technical projects from inception through deployment; reduce technical debt; and mentor senior engineering talent.

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.

Leads Uber’s global embedded insurance portfolio, owning strategy, growth, program economics, investment decisions, and P&L. Identifies and scales insurance products, builds partnerships with carriers and InsurTechs, navigates global regulatory requirements, and drives execution across product, engineering, legal, finance, actuarial, claims, and operations teams. Leads optimization of acquisition, retention, and engagement while developing the embedded insurance team.

Perform penetration testing, threat modeling, security design reviews, and vulnerability validation across applications, APIs, infrastructure, cloud-native systems, and AI agents. Build AI-powered security automation, identify complex attack paths, and partner with engineering teams to improve security controls and eliminate vulnerability classes. Translate technical findings into actionable guidance and lead complex assessments across organizational boundaries.