Hybrid role based in Carson City, Nevada for a senior-level AI & Data Governance Counsel at General Motors. The position focuses on building and scaling GM's AI governance program as AI adoption accelerates across the company.
Skills / Requirements
- Agent Development
- AI Council Participation
- AI Fluency
- AI Governance
- AI Impact Assessment
- AI Inventory Management
- AI Safety Standards
- AI System Cards
- AI Transparency
- AI Usage Policies
- Complex Prompting
- Contract Negotiation
- Cross-functional Collaboration
- External AI Engagement
- Governance Documentation
- Legal Counsel
- Regulatory Compliance
- Risk Management
- Vibe Coding
Why Apply
This role is ideal for someone skilled in vibe coding and AI fluency, including complex prompting and agent development. You'll work with AI governance frameworks and help operationalize AI guardrails and mitigation strategies.
What You'll Be Doing
You'll provide legal counsel on high-risk AI initiatives, partner with cross-functional teams to define AI safety standards, and refine GM's AI impact assessment process. Your work will include drafting AI usage policies and negotiating contracts.
Working in Carson City, Nevada
- Carson City offers a small-town feel with easy access to outdoor activities in the Sierra Nevada mountains.
- The city is known for its low cost of living compared to other tech hubs, making it attractive for professionals.
- Carson City provides a close-knit community vibe, ideal for those who prefer quieter living environments.
- Proximity to Lake Tahoe and Reno offers diverse recreational and cultural activities for residents.
Pay and Career Growth
GM offers a collaborative culture focused on innovation and safety. The role provides an opportunity to lead AI governance efforts, influencing both internal practices and external industry standards. However, there are no relocation or immigration sponsorship benefits.
Benefits and Perks
- Career Development
- Inclusive Workplace
- Non-discrimination policy
- Remote Work
Is This Role Right for You?
Good fit if you...
- Experienced in AI governance and legal frameworks.
- Comfortable working in fast-paced, cross-functional environments.
- Skilled in drafting and negotiating AI-related contracts.
May not be for you if...
- Requires immigration sponsorship or relocation support.
- Lacks experience in AI governance or legal counseling.
- Prefers working in a single-discipline environment.
Original Job Description
Job Description
GM is seeking an AI & Data Governance Counsel to join the team and help build, operationalize, and scale the company’s AI governance program as enterprise AI adoption accelerates across products, services, internal tools, and business workflows. This lawyer will work across product-facing, governance-facing, and policy-adjacent matters, with a primary focus on high-risk and high-visibility AI initiatives, the AI impact assessment workflow, AI inventory, governance controls and mitigations, transparency artifacts, and cross-functional enablement. The role is designed for a lawyer who can combine strong legal judgment with practical execution, operate effectively across multidisciplinary teams, and help GM lead rather than follow in AI governance as we deploy AI assets across all facets of the business and the vehicles.
Key responsibilities
Provide legal counsel on GM’s highest-risk and highest-visibility AI use cases, products, and governance escalations to ensure safe-by-design development and alignment with internal safety standards.
Partner closely with Security, DevEx, Data Governance, Enablement, product teams, and other cross-functional stakeholders to define internal AI safety standards and scale and operationalize AI guardrails, controls, and mitigation frameworks.
Help scale and refine GM’s AI impact assessment process, including policy as code, issue spotting, risk triage, mitigation mapping, and governance decision-making for higher-risk AI uses.
Review and negotiate strategic contracts for AI solutions and AI add-ons, including evaluating other companies’ AI governance maturity.
Develop external-facing AI usage policies, post-deployment monitoring standards, enforcement mechanisms, supporting materials, and data-logging practices to improve quality metrics and strengthen external defensibility.
Support the buildout and maintenance of GM’s AI inventory and related governance documentation, including links to assessments, ownership, and risk categorization.
Advise on AI transparency and documentation artifacts, including explainability frameworks, AI system cards for consumer-facing AI products, and safety-aligned AI artifacts where appropriate.
Translate emerging legal, regulatory, and standards developments into practical internal guidance, workflows, and product-facing requirements.
Drive alignment on AI safety strategy and risk posture as it relates to AI deployed in physical spaces and machines.
Help develop and socialize repeatable AI governance practices, training materials, and legal guidance that scale expertise across legal, product, and business teams.
Support governance forums and cross-functional operating structures, including the AI Council, AI governance working groups, and the AI Virtual Team.
Contribute to external AI governance engagement with peer companies, standards bodies, and industry groups to help GM stay ahead of evolving norms and expectations.
Required qualifications
J.D. and active bar membership in good standing.
8+ years of experience counseling on AI/ML, robotics, technology, digital products, data use, privacy, cybersecurity, or related regulatory matters.
AI fluency, including complex prompting, agent development, and vibe-coding, including knowledge of AI fitness for purpose and its limitations.
Demonstrated familiarity with global AI legal and standards frameworks and the ability to apply them in practical business and product contexts.
Proven track record of building 0-1 systems and scaling governance programs, workflows, or controls rather than only advising on them.
Strong judgment in ambiguous, fast-moving, cross-functional environments.
Experience working across multidisciplinary teams to implement governance, compliance, or risk-management practices in real operating processes.
Ability to communicate clearly with legal, technical, product, compliance, and business stakeholders.
Ability to move fluidly between strategic governance questions and hands-on execution work.
Experience drafting, interpreting, and negotiating contracts and templates for deals involving AI solutions and add-ons.
Preferred qualifications
Experience driving AI governance, responsible AI, algorithmic accountability, model risk, AI evaluations, and red-teaming.
Experience building solutions with the help of AI.
Familiarity with enterprise AI products, transparency artifacts, product documentation, or safety-aligned governance frameworks.
Experience engaging with external industry groups, benchmarking forums, or standards-development efforts related to AI, privacy, or digital governance.
Ability to identify skills gaps, create practical guidance, and help mature internal governance capabilities across business functions.
Location: This role is based remotely but if you live within a 50-mile radius of (Atlanta, Austin, Detroit, Warren, Milford or Mountain View), you are expected to report to that location three times a week, at minimum.
Relocation: This role is NOT eligible for relocation benefits
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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
About GM
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Benefits Overview
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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 (https://search-careers.gm.com/en/how-we-hire) .
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Our Culture
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