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

Develop location platform software, APIs, sensor-processing systems, geospatial capabilities, and data pipelines supporting machine learning workflows. Improve location accuracy through distributed systems, predictive modeling, and sensor fusion. Document algorithms and architectures while collaborating with engineering teams to enhance Uber’s location services.

Leads global, enterprise-wide People programs including performance management, learning, employee surveys, and onboarding. Oversees a program management team, cross-functional roadmaps, rollout logistics, change communications, adoption metrics, and operational quality. Drives scalable execution through HR technology, automation, and AI while partnering with HR teams and business stakeholders to improve employee and manager experiences.

Manage US and Canada health, welfare, and leave benefits programs, including strategy execution, administration, vendor relationships, compliance, governance, audits, claims, employee support, and communications. The role oversees benefits platforms, HRIS and payroll integrations, invoices, renewals, regulatory filings, plan documentation, and complex employee cases while supervising junior team members and driving operational improvements.

Coordinates and builds financial risk management and controls programs for Revenue and Partner Payments. Designs, implements, documents, and tests financial controls; identifies and remediates risks; supports SOX compliance and audits; partners with Finance, IT, product teams, business owners, auditors, and service providers. The role also drives process improvements, automation, control training, and implementation of controls for new products, systems, acquisitions, and organizational changes.

Design, develop, and productionize machine learning models and pricing algorithms for Uber’s large-scale, real-time marketplace systems. The role focuses on deep learning, causal modeling, reinforcement learning, optimization, and online serving at high volume. Responsibilities include collaborating with engineers, product managers, and scientists, shaping technical direction, solving complex marketplace problems, mentoring junior engineers, and monitoring ML solutions across offline and online environments.

Leads architecture and implementation of highly available distributed systems handling massive traffic with strict latency, consistency, and reliability requirements. Sets organization-wide technical direction for microservices, APIs, developer tools, resiliency, observability, incident response, and technical debt reduction. Partners with senior cross-functional and external stakeholders to deliver globally scalable platforms supporting marketplace, pricing, payment, machine learning, and product initiatives.

Leads Uber’s highest-severity security incidents from escalation through recovery and remediation. Commands responders, conducts technical investigations, briefs executives, drives post-incident analysis, mentors security teams, and owns a multi-team incident response program. Develops simulations, threat-informed response plans, automation, detection and containment improvements, and AI-assisted investigative workflows with appropriate safeguards.

Own Uber’s Android build platform across Bazel, Starlark rules, toolchains, dependency management, remote caching, remote execution, and CI. Improve build speed, reliability, cost, diagnostics, and test selection across a large monorepo. Lead platform migrations, upgrades, observability, incident response, technical standards, and cross-team initiatives while mentoring engineers and setting the Android build roadmap.

Provides strategic executive support to the Vice President of Corporate Development by managing complex calendars, international travel, visa logistics, events, financial tasks, confidential information, deadlines, and administrative programs. The role requires proactive prioritization, project ownership, stakeholder communication, process improvement, and resilience in a fast-paced global environment.

Lead the technical strategy, architecture, development, and productionization of large-scale machine learning and pricing systems for Uber’s real-time marketplace. Develop deep learning, causal, reinforcement learning, optimization, and algorithmic pricing solutions serving billions of trips. Mentor engineers, influence cross-team technical direction, communicate with executives, and deliver high-impact systems for millions of drivers.