Associate Program Manager, Tech - Program Management (Tech)

About the role and team

The GSS - Scaled Operations team is transforming how operational work gets done by combining program management, operational expertise, software development, and AI.

We are looking for an Associate Program Manager (L2) who can identify opportunities to improve operational workflows and build solutions to address them.

You will work closely with other operations Program Managers to understand pain points, identify repetitive or inefficient work, and determine where AI automation can fundamentally improve the process. You will then prototype and build solutions — writing code, integrating APIs, working with LLMs and AI agents, and developing lightweight internal tools and automations. For larger or more complex opportunities, you will partner with the broader Engineering Services organization to productionize and scale it.

This role is ideal for someone who enjoys both solving operational problems and building technology.

What you’ll do

Discover & Prioritize Automation Opportunities

1. Partner with Uber Program Managers and Operations teams to understand workflows, pain points, manual effort, quality issues, and operational constraints

2. Build and maintain a pipeline of AI and automation opportunities

3. Prioritize opportunities based on potential impact, technical feasibility, complexity, and time to value

4. Research emerging AI capabilities and identify practical applications for Scaled Operations

Build AI & Automation Solutions

1. Develop prototypes, proof-of-concepts, automations, internal tools, and AI-powered workflows

2. Build workflows using LLMs, AI agents, RAG, structured data extraction, classification, summarization, and other AI techniques

3. Build lightweight interfaces or tools that allow Operations teams to interact with automation

4. Establish appropriate evaluation frameworks for AI solutions, including accuracy, precision/recall, automation rate, latency, cost, and human override rates

5. Run pilots with Operations teams and incorporate feedback rapidly

6. Partner with the broader Engineering Services organization to transition the solution into a scalable, production-grade platform or application

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Operations, Business, or a related discipline

• Upto 2 years of experience in automation, analytics, or a related field

• Programming ability in at least one language such as Python, GoLang, or similar

• Experience building AI/GenAI prototypes or production applications, using LangChain, LangGraph, or similar frameworks

• Strong written and verbal communication