Sobre este puesto de Senior Product Manager - Simulation Evaluation Applications en General Motors
Job Description
The Role
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion. Autonomous vehicles are central to achieving this vision—where long‑term innovation meets safety, customer trust, and durable competitive advantage.
The Autonomous Vehicle (AV) Product Management organization is responsible for defining and delivering GM’s autonomous driving roadmap—from near‑term customer value to long‑term eyes‑off autonomy at scale. Our mission is to deploy autonomy deliberately and profitably across GM’s portfolio, leveraging common platforms, data, and disciplined product strategy to improve safety, unlock new customer value, and create sustainable business outcomes globally.
As a Senior Product Manager for Evaluation Applications, you will define and execute the strategy and roadmap for our test and evaluation platform that powers test case and suite management, test triggering and execution, and self-service analysis workflows across GMs’ next generation autonomy teams. This role will drive innovation in how we manage and scale evaluation workflows end to end — from onboarding and organizing millions of scenarios to triggering tens of thousands of tests per request and supporting the infrastructure that transforms raw results into meaningful performance insights. You will enable high-fidelity, scalable, and trustworthy testing and analysis of GM’s next-generation autonomy and ADAS features by providing a unified platform.
Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, product, infrastructure, and operations teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and thinking both from first principles and at fleet-wide scale
What You’ll Do
Own the long-term product vision, setting strategic direction for simulation evaluation applications across multiple autonomy capabilities, vehicle models and simulation modalities aligning with broader company goals.
Drive a unified platform roadmap across test management, triggering/execution, and analysis/evaluation—ensuring cohesive end-to-end workflows for internal customers.
Develop and implement strategies for systems and processes capable of evaluating simulated driving to predict on-road performance as well as evaluate on-road driving.
Lead a cross-functional team of stakeholders encompassing Embodied AI, Software Validation, Safety, Program, and Product Managers towards highly scalable, reliable and insightful end-to-end evaluation platform.
Act as the voice of the customers from the multiple internal GM teams across development to validation, ensuring evaluation applications not just meet the needs of the customers but delight them by pushing the envelope on the insights that are possible and their scale.
Help drive a data-driven culture and establish and monitor key metrics to
measure the effectiveness of the Simulation Evaluation products
Your Skills & Abilities (Required Qualifications)
5+ years 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
Proven ability to balance tradeoffs between user needs and
expectations, technical requirements and constraints and business objectives.
Demonstrated expertise in writing, with the ability to effectively balance and integrate vision, strategy, and technical details in a cohesive narrative.
What Will Give You a Competitive Edge (Preferred Qualifications)
An MBA or a master's Degree in a technical or engineering discipline
Experience working on evaluation, data and metric products and pipelines.
Experience managing products focused on ML model development and evaluation
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Sunnyvale, CA office three times per week, at minimum.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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