
Job Overview
Location
San Francisco
Job Type
Full-time
Category
HR & Recruiting
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own Baseten’s legal and regulatory positioning under emerging AI laws including the EU AI Act, U.S. state AI laws, and NIST AI RMF.
- • Lead export and trade compliance efforts related to BIS/EAR advanced-computing and semiconductor controls, including end-use/end-user diligence and sanctions screening for compute access and model distribution.
- • Build and manage Baseten’s privacy program encompassing GDPR, CCPA compliance, data-subject requests, cross-border data transfer mechanisms, and the DPA/sub-processor framework as a data processor.
- • Own the governance and controls layer for certifications including SOC 2, ISO/IEC 42001, and HIPAA-eligible configurations, partnering with Security and Compliance on policy lifecycle, controls testing, evidence collection, and audit readiness.
- • Translate complex regulatory obligations into actionable operational controls, documentation, and training programs adopted by Engineering, Product, and GTM teams.
- • Serve as the primary legal partner to Security and GRC teams on regulated-data handling, customer and auditor assurance, and risk-acceptance decisions.
- • Support Model Labs and partnership agreements on AI-law, privacy, export, and IP-provenance terms, providing legal guidance on commercial deals involving AI infrastructure.
- • Advise the Chief Legal Officer and executive leadership on regulatory risk, monitor evolving global AI and data protection regimes, and recommend proactive readiness plans.
- • Contribute to customer and Sales deals as needed, ensuring legal alignment on AI governance, data privacy, and export compliance without detracting from core regulatory program ownership.
- • May assist on M&A and other strategic transactions involving regulatory due diligence, compliance integration, or governance alignment.
- • Operate at the intersection of AI regulation, data protection, export controls, and security governance to enable Baseten’s growth as an AI inference infrastructure provider.
- • Develop and maintain scalable compliance frameworks that support rapid scaling while maintaining legal and regulatory integrity across global operations.
- • Act as a trusted advisor to Engineering and Infrastructure teams on compliance-by-design principles for AI model deployment and compute access.
- • Stay current with global regulatory developments and proactively adapt Baseten’s policies to new or amended legal frameworks.
- • Foster cross-functional collaboration with Security, Compliance, Product, and Commercial teams to embed legal requirements into product development and customer workflows.
- • Promote a culture of compliance through clear communication, training, and accessible documentation tailored to technical and non-legal stakeholders.
- • Represent Baseten in regulatory engagements and audits, ensuring consistent and defensible positions on AI governance and data protection.
- • Maintain a deep understanding of Baseten’s role as a processor under customer DPAs and ensure operational alignment with customer compliance expectations.
- • Drive continuous improvement of compliance programs through feedback loops, audit findings, and evolving industry standards.
- • Balance speed and scalability with legal rigor, enabling business growth while mitigating regulatory risk in a fast-moving AI infrastructure environment.
Skills & Technologies
About BaseTen Inc.
BaseTen provides a serverless, GPU-accelerated platform that lets machine-learning teams deploy, scale and monitor custom models behind autoscaling inference endpoints. The service abstracts infrastructure management, supports PyTorch, TensorFlow and Hugging Face artifacts, and offers built-in observability, A/B testing and fine-tuning. Customers integrate via REST or GraphQL APIs and pay only for compute used. Founded in 2019 and headquartered in San Francisco, BaseTen targets data scientists and product teams seeking production-grade ML serving without Kubernetes complexity.
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