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Legal & Compliance AI Engineer
Job at a glance
- Category
- AI Governance
- Work arrangement
- On-site
- Location
- San Francisco, CA
- Salary range
- $221,000
- Posted
- Aug 11, 2026
Gusto is hiring a Legal & Compliance AI Engineer in San Francisco, CA. This is a AI Governance job in the governance, risk, and compliance field, with a posted range of $221,000. Review the full details below and apply directly with Gusto.
1.2; About Gusto At Gusto, we re on a mission to grow the small business economy. We handle the hard stuff, payroll, health insurance, 401(k)s, and, so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs), because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our a Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role As a key member of Enterprise Applications IT (EAIT), the Legal Tech IT Product Manager owns the AI-first strategy, roadmap, and delivery of the enterprise applications supporting Gusto’s Legal and Compliance organization. This is an AI-forward product role: you will reimagine how legal and compliance work gets done by embedding generative AI, AI agents, and intelligent automation into systems like contract lifecycle management (CLM), matter and legal-spend management, e-signature, entity and corporate records management, legal hold and e-discovery, and governance, risk, and compliance (GRC) platforms. Acting as the primary interface between Legal and Compliance teams and EAIT delivery resources, you will translate business needs into well-defined, AI-enabled product requirements, guide solution design, and drive continuous improvement across core legal and compliance processes. In line with Gusto’s enterprise systems strategy, you will help shift legal operations from reactive, manual workflows to predictive, context-aware, and self-improving platforms, designing agentic workflows and Model Context Protocols (MCPs) that connect legal systems to large language models, while ensuring privilege protection, security, compliance, and measurable impact. This role blends product leadership and deep systems knowledge with AI literacy and a bias toward applying AI to every part of the legal technology stack. About the Team The Enterprise Applications IT (EAIT) team drives the intelligent transformation of Gusto’s enterprise systems, integrating AI,
Full responsibilities and requirements are on Gusto's application page.
Apply for this job →Location and market context
This job is based in San Francisco, CA on-site. Local candidates benefit from being close to Gusto's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance jobs
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance job
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Gusto would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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