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

Owns Uber’s US immigration program, ensuring employment-based immigration compliance, regulatory readiness, stakeholder support, vendor performance, and operational efficiency. Partners with HR, Talent Acquisition, business leaders, and global mobility teams; monitors legislative changes; manages complex immigration escalations, projects, metrics, billing, training, and continuous improvement initiatives.

Leads Mobility Analytics, Strategy, Planning, and Program Management for a large-scale operational business. Owns data integrity, governance, lineage, monitoring, AI-assisted anomaly detection, self-service analytics platforms, strategic narratives, planning cycles, and cross-functional execution. Builds AI-first workflows using LLMs and automation to accelerate investigations, reporting, and decision-making while partnering with Product, Engineering, Operations, Finance, and executive leadership.

Lead product strategy, roadmap, and lifecycle execution for a mobility marketplace using algorithmic and data-driven solutions. Partner with engineering, data science, design, and operations teams to launch and optimize products. Analyze marketplace dynamics, define KPIs, evaluate performance, incorporate user feedback, and communicate strategy to executives and external partners.

Owns end-to-end Oracle HCM Cloud Payroll functionality, including configuration, maintenance, optimization, troubleshooting, and operational support. Partners with HR, Payroll, and Operations stakeholders to translate requirements into system enhancements. Supports quarterly releases, UAT, production readiness, root-cause analysis, process automation, and integration impact assessment across Payroll, Time and Labor, and Absence Management.

Lead architecture and evolution of an enterprise vulnerability management platform. Design risk-based vulnerability management systems, automate remediation, integrate security scanning into development and infrastructure workflows, and apply AI/ML to vulnerability triage and remediation. Establish governance, analyze complex vulnerabilities, guide risk decisions, mentor engineers, and collaborate across IT, product, compliance, and operations teams.

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.

Leads Uber’s global high-risk escalation strategy and operations, overseeing 50+ employees and five teams handling social media, executive escalations, crises, and critical customer support issues. The role develops AI-enabled workflows, drives root-cause improvements, partners with Communications, Legal, Operations, and regional teams, and balances strategic transformation with real-time crisis response. Availability during nights and weekends is required.

Supports Uber’s Strategic Finance team through financial planning, forecasting, reporting, analysis, and financial modeling. The intern applies financial and operational insights to business decisions, evaluates initiatives and products, and develops recommendations for leadership. Responsibilities also include improving financial models, tracking key metrics, supporting operational efficiency, and leading scaling initiatives. The role includes exposure to Uber’s Finance Development Program and requires collaboration across global business functions.

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.