Descrição
The Role
At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic.
As a Staff Product Manager for Synthetic Data, you will define and execute the strategy and roadmap for enhancing the trust in Synthetic data used to create GMs next generation autonomy. This role will drive innovation in how we utilize and scale Synthetic Data to provide training data and insights faster to the autonomy development and validation teams. You’ll lead cross-functional efforts to drive alignment and roadmap across Simulation, ML infrastructure and Autonomy development.
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 increasing the trust in Synthetic Data across GM, including scale synthetic data production (quality and volume) to define it as a first-class data source in the training workflow.
- Communicate very technically complex information in an easy-to-understand narrative to stakeholders across GM.
- Help drive a data-driven culture and establish and monitor key metrics to
measure the effectiveness of Synthetic Data, including:
- Establishing quality frameworks and "is this good enough?" criteria.
- Define and track KPIs that show the impact of synthetic data on model performance and program outcomes
Your Skills & Abilities (Required Qualifications)
- 5+ years product management experience.
- Bachelor's degree in Engineering or related fields
- Solid understanding of the latest Simulation platforms, ML orchestration infrastructure and validation workflows.
- 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 Autonomous Vehicles, ML infrastructure, or large-scale simulation/testing.
- Exposure to synthetic data generation, simulation, or domain adaptation for perception or behavior models.
- Track record building trust with staff/principal engineers through transparent roadmaps and honest communication.
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.
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 $106,600 to $192,700. 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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GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.
