AI Product Counsel

Join Handshake, a leading company at the forefront of the AI industry. As AI Product Counsel, you will lead legal work across the organization, advising on novel legal questions related to AI model training, evaluation, and deployment. You will embed with various teams, support partnerships with frontier labs and enterprise customers, and build scalable product counseling and AI governance. This role offers a comprehensive benefits package, including health insurance, fertility and family forming support, mental health resources, and more.

• Lead legal work across Handshake to build and ship AI products and platforms, addressing novel legal and business challenges.
• Advise on legal questions related to AI training and evaluation data products, and support work with frontier labs and enterprise customers.
• Build scalable product counseling and AI governance, including AI-assisted intake and review workflows, playbooks, templates, and self-serve guidance.

• 8+ years of legal experience, with significant in-house experience supporting product, platform, or emerging technology teams
• Experience working alongside commercial counsel on complex, novel commercial relationships
• Deep familiarity with privacy and intellectual property law, and with the laws governing AI and platform products
• Sound judgment under ambiguity: you can make a risk call where there is no precedent or playbook, explain it plainly and stand behind it
• Exceptional communication skills and business judgment, balancing legal risk with strategic goals
• Strong technical fluency and curiosity; you enjoy partnering with engineers, researchers and product managers to understand how things work
• Track record of leading and scaling product counseling and legal review programs in fast-paced, high-growth environments
• JD and membership in at least one U.S. state bar
• Passion for Handshake’s mission to democratize access to opportunity and a deep interest in AI
• Experience with data licensing and data provenance issues
• Prior experience supporting AI, ML, or data products, or working with AI labs or other frontier AI companies
• Familiarity with AI risk management frameworks, bias audit practices, or AI safety and transparency issues
• Experience with regulated data, such as health or biometric data
• Experience working in marketplace or gig platforms