Sr Program Manager, Tech
Operations
United States · San Francisco, CA, USA
USD 167k-185k / year + Equity
About the role and team
Leading in a high-growth environment means setting direction in motion, not waiting for perfect conditions. As a Senior Technical Program Manager in Uber's Financial Risk Management (FRM) Compliance Tech team, you will drive structure and coordination for large-scale, complex technology initiatives that modernize how Uber runs its most critical compliance and financial-risk programs — from controls automation and GRC tooling to the data and AI systems that power real-time risk intelligence. This role is about navigating the reality of transforming manual, judgment-heavy compliance work into automated, data-driven, AI-assisted workflows while the business moves at high velocity.
You will be a strategic operator and cross-functional influencer, owning the end-to-end lifecycle of technical programs that span Engineering, Data/AI, Compliance and Finance partners. You will make data-driven decisions on prioritization, manage complex dependencies across teams and delivery partners, and directly impact the cost, quality, and auditability of Uber's control environment. We are looking for a professional who can solve architectural and process puzzles and elevate technical program management standards across a lean, high-leverage, globally distributed team.
What you'll do
- Own the end-to-end lifecycle of the multi-year Compliance Tech roadmap, coordinating delivery across three areas — tooling enablement, platform engineering, data, and risk intelligence & AI.
- Lead complex technical programs from inception to delivery, resolving cross-team dependencies and evaluating risks in real time.
- Partner with engineering and data/AI leads to conceptualize architectural solutions and translate compliance and product needs into detailed execution roadmaps and resource plans.
- Drive execution velocity by identifying systemic bottlenecks, managing escalations, and removing obstacles across onshore/offshore teams and delivery pods.
- Drive platform and tooling modernization — including migrations, parallel-run, and phased cutovers that de-risk delivery with no big-bang changes.
- Stand up AI governance mechanics in partnership with Data/AI — evals, human-in-the-loop review, and model/change documentation aligned to recognized AI-governance standards.
- Use a data-driven approach to define program KPIs, track progress, and give leadership a single, credible view of status, risk, and delivery.
- Own program budgets and cost trade-offs — track spend, justify investment, and partner with Finance to keep the roadmap on plan and self-funding.
- Surface overlooked control gaps and systemic risks others miss — decompose ambiguous, contested problems with facts and data to drive shared understanding and clear decisions.
- Navigate high-stakes ambiguity by balancing priorities across diverse stakeholders, including leadership, technical teams, and compliance/audit partners.
- Champion engineering and operational excellence — building the playbooks, runbooks, templates, and automation that let a lean team punch above its weight.
Basic Qualifications
- 7+ years of experience in technical program management or software development leadership.
- Experience shipping large-scale programs while managing scheduling, resource planning, risk management, and stakeholder communication for senior-level and executive audiences.
- Technical aptitude with the ability to understand distributed systems and data/AI pipelines and translate technical issues into prioritized actions.
- Experience defining program KPIs/OKRs and standing up the tooling to track and report them.
- Experience owning program budgets and cost trade-offs, and partnering with Finance to track spend and justify investment.
- Experience predicting execution risks and surfacing overlooked issues, building data-backed proposals to achieve team alignment.
- Experience with the product/software development lifecycle, including creating technical documentation (such as PRDs or ERDs) and program-management methodologies (Agile, Scrum, hybrid; Jira, Linear).
- Experience driving efficiencies through process definition, runbooks, or tooling automation.
- Bachelor's degree in Computer Science, Engineering, Management Information Systems, or a related technical field (or equivalent professional experience).
Preferred Qualifications
- Domain experience in compliance, audit, risk, or financial systems.
- Familiarity with GRC platforms and with modernizing or migrating compliance/audit tooling.
- Experience with AI coding tools (e.g., Claude Code, Codex), AI agents, and MCP.
- Background in software engineering or engineering management, specifically within microservice or DevOps environments.
- Experience with data analytics tools (e.g., SQL, Python, Tableau) to drive analysis and automation.
- Experience coordinating onshore/offshore delivery pods in a lean, high-leverage team.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
For San Francisco, CA-based roles: The base salary range for this role is USD $167,000 per year - USD $185,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.