Sr Program Manager Tech

Uber

Sunnyvale, CA

Full Time

Senior

162k-180k

9 days ago

Job Description

About the Role

As a Senior Program Manager - Data Labeling, you will lead cross-functional initiatives to build, scale, and optimize data annotation programs critical to AI model performance. You'll own program delivery across internal teams, vendor partners, and ML stakeholders to ensure high-quality labeled datasets are delivered on time and at scale. This role is both strategic and execution-driven: you'll define roadmaps, manage SLAs, create scalable processes, and resolve bottlenecks to ensure the labeling engine is efficient, quality-controlled, and model-aligned.

Key Responsibilities

Define and drive end-to-end execution of large-scale annotation programs across multiple data types.
Collaborate with ML, product, and data operations teams to scope and prioritize labeling needs.
Own vendor engagement: onboarding, SLA management, training, and quality reviews.
Build feedback loops between annotators and model performance to inform labeling strategies.
Create dashboards and reporting mechanisms to track labeling velocity, quality, and cost.
Lead initiatives to improve labeling efficiency through tooling enhancements and process automation.
Be the voice of labeling in cross-functional forums-translating model needs into operational plans.

Requirements

6+ years of program management experience, ideally in ML ops, data labeling, or AI infrastructure.
Proven track record managing multi-vendor operations or global labeling teams.
Strong understanding of ML lifecycle stages and the importance of annotated data quality.
Experience defining SOPs, audit mechanisms, and workflows for scalable data labeling.
Proficient in tools such as Jira, Asana, or Airtable for program tracking.
Strong analytical and communication skills; ability to synthesise feedback from ML, ops, and product stakeholders.

Nice to Have

Exposure to LLMs, foundation models, or active learning-based data curation.
Familiarity with annotation for multimodal inputs (e.g., Audio, Video, Image, Text, Documents, OCR based forms).
Experience managing budgets, metrics, and KPIs across distributed teams.
Knowledge of quality scoring frameworks, inter-annotator agreement (IAA), or QA loop design.
Technical background (e.g., in ML, data science, or engineering) is a plus.

Qualifications

Educational background is not explicitly specified but implied experience in program management and ML-related fields.

Benefits & Perks

Base salary range of USD$162,000 to USD$180,000 per year.
Eligibility to participate in Uber's bonus program.
Potential for equity awards and other compensation.
Various benefits as detailed at https://www.uber.com/careers/benefits.

Working at Uber

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. Uber values collaboration and emphasizes the importance of office presence, expecting employees to spend at least half of their work time in their assigned office unless fully remote work is formally approved.

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