Job Description
**About the Role**
We are seeking a seasoned **L6 Program Manager** to lead large-scale, multi-modal **Generative AI data labeling programs** supporting high-impact initiatives for strategic Big Tech customers.
In this role, you will be responsible for owning the **end-to-end execution** of GenAI data pipelines-from onboarding and task design to quality governance and delivery at scale.
This is a **mission-critical role** for driving high-quality training data pipelines that power next-generation LLMs and multi-modal AI systems.
You will work at the intersection of **machine learning** , **annotation operations** , and **enterprise customer success** , partnering with product, engineering, data science, vendor teams, and AI researchers.
The ideal candidate brings a **strong background in managing complex AI/ML programs** , experience scaling delivery across annotation vendors and internal teams, and a high degree of **operational rigor** in ambiguous, fast-paced environments
**What the Candidate Will Do:**
**Program Ownership**
+ Lead large-scale GenAI data labeling initiatives across **text, vision, audio, and multi-modal tasks** .
+ Serve as the **primary delivery owner** for strategic accounts-responsible for **onboarding, execution, and success metrics** .
**Customer & Stakeholder Management**
+ Build trusted partnerships with external Big Tech clients and internal cross-functional teams.
+ Translate customer requirements into **robust, scalable labeling workflows** with clear SLAs and KPIs.
+ Manage feedback loops, escalations, and continuous improvement with stakeholders.
**Operational Excellence**
+ Drive **workflow design, vendor allocation, throughput planning, and quality control** .
+ Implement **audit pipelines, rework detection, and disagreement heatmaps** to maintain gold-level quality.
+ Own performance reporting (QA dashboards, batch-level summaries, drift monitoring, etc.).
**Process & Tooling Strategy**
+ Collaborate with Product and Engineering teams to implement **model-in-the-loop annotation** , **smart sampling** , and **real-time QA feedback systems** .
+ Define process enhancements for labeling efficiency, cost optimization, and annotator experience.
**Quality & Risk Management**
+ Establish **rubrics, golden sets, and training protocols** across domains and modalities.
+ Drive **issue triage** , **root-cause analysis** , and **corrective actions** to close quality gaps at scale
**Basic Qualifications:**
+ **Bachelor's degree** in Computer Science, Engineering, Linguistics, Data Science, or related field.
+ **8+ years** of experience in program management, including **3+ years in GenAI/ML data programs** .
+ Proven experience **leading strategic enterprise programs or Big Tech accounts** .
+ Strong fluency in **data operations, quality management, and annotation pipeline design** .
+ Experience managing **cross-functional teams and global vendors** .
+ Excellent verbal and written communication skills across technical and non-technical audiences
**Preferred Qualifications:**
+ **Master's degree** in a technical or business discipline.
+ Experience delivering **multi-modal labeling programs** (e.g., text, audio, vision).
+ Familiarity with tools like Label-box, Scale, SuperAnnotate, AWS SageMaker Ground Truth, Label Studio.
+ Experience working with **model-in-the-loop** , **LLM evaluation** , or **RLHF data pipelines** .
+ Prior ownership of **budgeting, forecasting, and vendor performance management** .
+ Familiarity with **GenAI product cycles** and model development lifecycles
For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
You will also be eligible for various benefits.
More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform