Product Counsel

Jobtailor

Boston (MA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Toast is seeking an in-house counsel to advise cross-functional teams on regulatory compliance, privacy, IP, and consumer protection across the product lifecycle.

You will translate complex legal requirements into technical guidance for product, engineering, data science, and marketing teams, review architecture proposals, and monitor evolving AI regulations in the U.S. and globally. This role demands excellent communication and collaborative skills in a fast-paced tech environment.

Qualifications

  • J.D. from ABA-accredited U.S. law school
  • Bar admission in at least one state
  • 5+ years of legal experience in regulatory compliance, privacy, IP, and consumer protection
  • In-house legal experience advising product, engineering, and marketing teams on new products and features
  • Technical fluency with architecture/design docs, data flows, schemas, APIs, and model behavior
  • Experience with AI or ML issues including training data rights and governance
  • Experience with data-use and data-rights questions including de-identification and contracts
  • Experience in fast-paced technology or software companies
  • Exceptional communication skills
  • Collaborative, customer-service, growth mindset

Responsibilities

  • Advise product, engineering, data, and marketing stakeholders throughout the product development lifecycle, from initial development through launch
  • Review marketing strategies and assets
  • Provide practical legal advice on regulatory compliance, consumer protection, intellectual property, AI, marketing, and privacy
  • Advise on core platform infrastructure, AI systems, platform and API design, integrations, and AI actions on customers' behalf
  • Counsel product, engineering, and data science teams across the ML model lifecycle
  • Advise on identity, authentication, authorization, account security, consent, delegated access, and access-control design
  • Translate legal requirements into technical requirements and write guidance for engineers
  • Review design documents, data models, and architecture proposals
  • Monitor U.S. and international laws and regulations relating to the Toast platform and global AI developments
  • Develop scalable processes including playbooks, intake triage, and decision trees
  • Collaborate across privacy, security, compliance, and product counsel teams

Skills

Regulatory Compliance
Privacy Law
Intellectual Property Law
Consumer Protection Law
Data Rights
Machine Learning Governance
Technical Documentation
Architecture Design
Data Models
API Design

Education

J.D. from ABA-accredited U.S. law school
Bar admission in at least one state

Job description

  • Advise product, engineering, data, and marketing stakeholders throughout the product development lifecycle, from initial development through launch
  • Review marketing strategies and assets
  • Provide practical legal advice on regulatory compliance, consumer protection, intellectual property, artificial intelligence, marketing, and privacy
  • Advise on core platform infrastructure, AI systems, platform and API design, integrations, and AI actions on customers' behalf
  • Counsel product, engineering, and data science teams across the machine learning model lifecycle
  • Advise on identity, authentication, authorization, account security, consent, delegated access, and access-control design
  • Translate legal requirements into technical requirements and write guidance for engineers
  • Review design documents, data models, and architecture proposals
  • Monitor U.S. and international laws and regulations relating to the Toast platform and global AI legal developments
  • Develop scalable processes including playbooks, intake triage, and decision trees
  • Collaborate across privacy, security, compliance, and product counsel teams
Requirements
  • J.D. from an ABA-accredited U.S. law school
  • Membership in good standing in at least one state bar
  • 5+ years of legal experience covering regulatory compliance, privacy, intellectual property, and consumer protection
  • In-house legal department experience advising product, engineering, and marketing teams on new products, enhancements, and feature requests
  • Technical fluency with architecture and design documentation, data flows, schemas, APIs, and model behavior
  • Experience with AI or machine learning issues, including training data rights, model governance, or emerging AI regulation
  • Experience with data-use and data-rights questions, including aggregation, de-identification, and contractual commitments
  • Experience working with fast-paced technology or software companies
  • Exceptional communication skills
  • Solution-oriented, customer service, and growth mindset
  • Ability to integrate into cross-functional teams with a cooperative and participatory approach
Core Competencies

Demonstrates expertise in regulatory compliance, privacy, and intellectual property law, with a strong focus on advising cross-functional teams in technology and product development. Proficient in translating legal requirements into technical specifications and developing scalable processes for legal guidance.

Highest-signal resume keywords
  • J.D. From An ABA-Accredited U.S. Law School
  • 5+ Years Of Legal Experience
  • In-House Legal Department Experience
  • Technical Fluency With APIs And Data Flows
  • Experience With AI Or Machine Learning Issues
ATS Optimization Keywords
Hard Skills
  • Regulatory Compliance
  • Privacy Law
  • Intellectual Property Law
  • Consumer Protection Law
  • Data Rights
  • Machine Learning Governance
  • Technical Documentation
  • Architecture Design
  • Data Models
  • API Design
Soft Skills
  • Exceptional Communication Skills
  • Solution-Oriented Mindset
  • Customer Service Orientation
  • Collaborative Approach
  • Growth Mindset
Certifications & Qualifications
  • Membership In Good Standing In A State Bar
Industry Keywords
  • Product Development Lifecycle
  • AI Regulation
  • Cross-Functional Collaboration
  • Data Aggregation
  • De-Identification
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