Staff Product Manager – Data Platform, ML, AI
Plaid
Airflow
Staff Product Manager, Evaluation and Validation
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Sunnyvale • California, Missouri • 🇺🇸 United States
Visit company websiteSalary
💰 $178,100 - $274,300 per year
Job Level
Lead
Tech Stack
Cloud
About the role
- Partner with data scientists, software and ML engineers to evaluate GMs ADAS products
- Build scalable frameworks to measure driving performance
- Build and own performance KPIs
- Support verification & validation workflows, safety-case development, and represent eval in every step of the product development cycle
- Actively monitor emerging trends and regulatory developments of AI and AV safety
Requirements
- 5+ years of product management experience
- Bachelor's degree in Engineering, Data Science, or related fields
- Solid understanding of the modern data and analytics technology stack, including cloud data and data infrastructure
- Ability to navigate ambiguity and drive projects forward, even without a clear path.
- Strong sense of accountability and ownership
- Demonstrated expertise in writing, with the ability to effectively balance and integrate vision, strategy, and technical details in a cohesive narrative.
- Experience working on frontier technology products
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementdata sciencedata analyticscloud datadata infrastructureperformance KPIsverification workflowsvalidation workflowssafety-case developmentfrontier technology
Soft skills
navigating ambiguityproject managementaccountabilityownershipwriting skillsstrategic thinkingtechnical communication
Certifications
Bachelor's degree in EngineeringBachelor's degree in Data Science
