Product Counsel

About this role

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are hiring an experienced Product Counsel to join our Legal team. As Product Counsel, you will work with teams across the business including product, engineering, data science, marketing, compliance, and sales, to develop a deep understanding of Toast’s products, platform, and AI-driven strategies, and to offer pragmatic legal advice that helps the business identify and mitigate legal risk.

This role leans technical. You will partner closely with the teams building the foundations of the Toast platform as well as the products built on top of them, including our Enterprise offerings. The best candidate for this role finds the technical detail interesting rather than an obstacle. Toast’s product portfolio evolves quickly, and so does this role. We are looking for someone agile who can shift priorities with the business.

Our Legal & Compliance teams are primarily concentrated in Boston, New York, Washington D.C., San Francisco, and Chicago. Candidates residing in these areas will be prioritized, as they will benefit from closer proximity to colleagues and greater access to company resources and events. A Day in the Life (Responsibilities) Advising a variety of stakeholders across the product, engineering, data, and marketing teams throughout the product development lifecycle — from the initial stages of product development through launch, including the review of marketing strategies and assets.

Providing practical advice to business stakeholders on a broad range of issues including regulatory compliance, consumer protection, intellectual property, artificial intelligence, marketing, and privacy. Advising on the design and deployment of core platform infrastructure and the AI built on top of it, including platform and API design, integrations, and the questions raised when an AI system takes action on a customer’s behalf.

Counseling product, engineering, and data science teams across the machine learning model lifecycle. Advising on identity, authentication, authorization, and account security, including consent, delegated access, and the legal requirements that shape access-control design. Translating legal requirements into technical requirements, writing guidance engineers can build against, and reviewing design documents, data models, and architecture proposals.