23 часа назад
Assistant GC, Product (Data Products, Machine Learning, and AI)
210 000 - 315 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Assistant GC, Product (Data Products, Machine Learning, and AI) (AI and Healthcare Legal): Advising teams building AI and machine learning models, products, and technologies, with an accent on model development, agentic workflows, multimodal outputs, and clinical use. Focus on designing practical mitigations for AI legal risks, developing emerging-AI legal frameworks, and supporting privacy, data governance, and model risk assessments.
Location: San Francisco or New York City; hybrid with in-office days on Monday, Wednesday, and Friday
Salary: $210,000–$315,000 per year, plus equity
Company
is a healthcare technology startup using generative AI to transform patient-clinician conversations into structured clinical notes and improve clinical documentation.
What you will do
- Advise teams building core AI and machine learning models and products on model development, agentic workflows, multimodal outputs, and downstream clinical use.
- Identify AI-specific legal risks involving model behavior, output accuracy, intellectual property, data provenance, training rights, and liability for generated content.
- Develop scalable legal processes, frameworks, and contract language for frontier AI products.
- Advise on emerging AI regulation and represent the company's positions with external counsel, regulators, and industry groups.
- Support privacy impact assessments, model risk assessments, and data governance for AI training, fine-tuning, and deployment.
- Partner with legal, product, and compliance stakeholders on transparency, accountability, and human oversight.
Requirements
- 12+ years of legal experience, including 6+ years advising on AI, machine learning, or other emerging technology products.
- Prior in-house legal experience is required, preferably at a growth-stage AI or healthcare technology company.
- Working knowledge of AI-related intellectual property, copyright, training data rights, model liability, and responsible AI principles.
- Ability to translate complex regulatory and technical AI concepts into practical guidance for non-legal and technical audiences.
- Strong understanding of federal and state healthcare laws, including HIPAA and data privacy regulations as applied to AI systems.
- Comfort working with ambiguity, tight timelines, and novel legal questions without settled precedent.
Culture & Benefits
- Fast-paced, high-growth startup environment with an ownership-focused culture.
- Flexible work hours, inclusive culture, and ongoing learning opportunities.
- Medical, dental, and vision coverage for full-time employees and their families.
- Flexible paid time off, 14 paid holidays, paid parental leave, family-forming benefits, and sabbatical leave after five years.
- 401(k) matching, HSA contributions, FSA and commuter benefits, personal device allowance, lifestyle wallet, and mental health support.
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