Program Leader, Tech Transformation (Agent Platforms) - Field Operations

About the Role
This role sits within Field Operations and owns tech transformation across our internal platform layer — including Bliss, Scout, Translate, Kronos, Prisma, and future platforms we build — that powers COE workflows globally. Rather than owning a single operational domain, this role ensures that the platforms COEs depend on are themselves AI-native: capable of surfacing AI-driven automation, configuration, and content/workflow management so that any COE building on top of them can hand off the bulk of processing to AI and reserve humans for review. You will partner with Platform Engineering and Product teams to shape platform roadmaps, and with COE stakeholders across Safety, Regs & Compliance, Mobility, Delivery, and beyond to ensure platform capabilities translate into real automation impact.
What You Will Do
Own identification, prioritization, and transformation of platform-level capabilities across Bliss, Scout, Translate, Kronos, Prisma, and future platforms to make AI-driven automation available to all COEs that build on them
Build deep fluency in each platform's architecture, current usage across COEs, and where AI/automation could be embedded once and reused broadly
Partner with Platform Engineering and Product to shape roadmaps, ensuring AI-native capabilities (e.g., AI-assisted configuration, content generation/translation, intelligent scheduling, automated case triage) are built as reusable platform primitives
Work with COE stakeholders across Safety, Regs & Compliance, Mobility, Delivery, and other domains to identify where platform-level AI capabilities can unlock automation in their specific workflows
Drive delivery from pilot (often within one COE) to platform-wide rollout, ensuring the human-in-the-loop model is configurable to each consuming team's risk tolerance
Define and track platform-level metrics — capability adoption across COEs, aggregate automation rate enabled, TAT/cost impact by consuming team — and report impact to Field Ops and Platform leadership
Act as the connective tissue between Platform Engineering, Product, and the many COE teams consuming these platforms, ensuring the roadmap reflects real cross-COE demand
Scan the internal/external landscape for platform and AI-tooling trends, and shape the vision for future platforms Field Operations may need to build
Build documentation and enablement so COE teams can self-serve on new platform-level AI capabilities as they launch
Basic Qualifications
Bachelor's degree
8+ years of experience in program management, technical program management (TPM), platform strategy, or technology-driven operations transformation
Demonstrated experience partnering directly with Product and Engineering to scope, prioritize, and ship technical/platform solutions
Strong technical fluency — able to understand platform architecture, data flows, and configuration systems well enough to shape requirements and identify AI-automation opportunities
Working understanding of how AI/ML and GenAI tools can be embedded into platform capabilities (config management, content workflows, translation, scheduling/workforce tools, case management), including where human review remains necessary
Strong analytical/quantitative skills — sizing opportunities, defining success metrics, and measuring platform-level impact across multiple COEs
Excellent written and verbal communication skills; ability to translate platform capabilities into concrete automation opportunities for diverse COE stakeholders
Preferred Qualifications
Experience working directly with internal platform/infrastructure teams (e.g., config platforms, content management systems, workforce/scheduling tools, translation or localization platforms, case management systems)
Prior experience embedding AI/automation capabilities into a shared platform used by multiple downstream teams, rather than a single-point solution
Direct experience writing platform-level PRDs/specs, defining APIs/extensibility points, and running cross-COE pilots
Familiarity with GenAI tooling (LLM APIs, agent frameworks, RAG, evaluation/guardrail patterns) sufficient for credible technical conversations with platform engineers
Experience in a top-tier strategy consulting firm, or in a platform/infrastructure product role at a large tech company
Strong stakeholder management skills across both platform engineering teams and the many COE teams that consume the platform
Comfort operating one layer removed from a single workflow — thinking in terms of reusable capabilities rather than one-off automations
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.

Employment type
Full time

Work arrangement
On-site