Senior Product Manager, Labeling
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 106600 - 192700
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
The Role
As a Senior Product Manager for Data Labeling you will define and drive the product vision for GMs labeling ecosystemspanning UI tools for human annotation workflow and efficiency optimization and strategy for automatic and semiautomatic labeling solutions. You will partner closely with machine learning teams across AV and ADAS to understand their data and modeltraining needs ensuring labeling quality throughput and costefficiency scale with the demands of nextgenerationperceptionand planning systems.
This role requires strong product judgment the ability to balance quality and velocity for different ML customers and comfort navigating complex tradeoffs between human and automated labeling approaches. You will work across engineering operations research and safety teams to deliver labeling solutions that accelerate development cycles and improve model performance.
WhatYoullDo
Own the longterm product vision and roadmap for GMs data labeling ecosystem covering humanintheloop labeling tools workflow orchestration and automatic labeling technologies.
Define UI and workflow requirements for labeling tools that maximize annotator efficiency reduce errors and ensure consistent quality across largescale labeling operations.
Develop a strategy and roadmap for automatic and semiautomatic labeling including modelassisted tools heuristics and qualitygating mechanisms.
Partner with AV and ADAS ML teams to deeply understand their data modalities annotation requirements and pain pointstranslating these into clear product requirements and prioritization frameworks.
Drive efficiency investments for human labelers including process optimization intelligent task routing activelearning loops and targeted improvements based on productivity metrics.
Balance cost throughput and quality when choosing between human hybrid and automated labeling solutions.
Lead crossfunctional efforts across Engineering Operations ML ResearchDesignand Program teams to deliver scalable reliable and secure labeling infrastructure.
Establish KPIs that measure labeling quality annotation velocity endtoend cycle time ML impact and cost efficiencyand use them to inform product decisions.
Act as the voice of labeling customers (ML engineers data scientists and safety evaluators) ensuring labeling solutions support their development cyclesevaluationworkflows and model iteration velocity.
Your Skills & Abilities (Required Qualifications)
5 years of product management experience ideally in data labeling ML tooling annotation platforms or related areas.
Demonstrated ability to translate the needs of ML customers into actionable product requirements and technical tradeoff frameworks.
Strong product judgment with experience solving complex constrained problems using structured reasoning and datainformed decisions.
Experience defining workflow and UI requirements for technical or operationsheavy tools with a focus on efficiency usability and quality outcomes.
Ability to balance competing factors acrossannotationquality throughput cost efficiency and ML impact.
Strong written communication skills with the ability to integrate engineering safety privacy and operational perspectives into clear narrative requirements.
Experience identifying and instrumenting key metrics for labeling efficiency modelassisted workflows and ML training effectiveness.
Ability to work across engineering operations and research teams to build alignment on roadmap priorities and deliver crossfunctional outcomes.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience managing products in robotics autonomous systems machine learning or humanintheloop systems.
Background in ML computer vision or related technical fields.
Familiarity with annotation platforms automatic labeling systems or ML data pipelines.
Hybrid:This role is categorized ashybrid. This means the successful candidate is expected to report to theWarren MI or Mountain View CA office three times per week at minimum.
Compensation:The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $106600 to $192700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.
Benefits:GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.
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About GM
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Benefits Overview
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Required Experience:
Senior IC
Key Skills
- Time Management
- Data Analytics
- Analytical
- Agile
- Requirement Gathering
- Strategic thinking
- Visio
- Communication
- Problem Solving
- Market Research
- UML
- Cross Functional Teams
About Company
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