At Podium, we build an AI Workforce that helps local businesses turn every conversation into revenue. More than 60,000 businesses across Auto, Home Services, and Aesthetics trust Podium to drive growth 24/7, from capturing new leads to re-engaging past customers.

Two and a half years ago, we made a deliberate shift from building software for local businesses to building AI Employees that work for them. Every local business struggles to answer every call, lead, and follow-up. Our AI Operating System and AI Workforce fill that gap. We’ve crossed $150M in AI ARR, deployed more than 20,000 AI Employees, and helped customers generate over $13B in revenue.

Inc. Magazine named Podium the Best AI Implementation, OpenAI highlighted us for building AI Agents that drive revenue, and G2 ranked us the #1 AI Agent for Business Operations.

Podium is AI-native in every sense. We build AI for our customers, we build AI tools for ourselves, and we use AI in every role across the company.

We hire exceptional people, hold them to high standards, and give them room to make an impact. We look for people who are all-in on AI and eager to stay on the cutting edge, both in what we build for customers and in how they operate day to day. If you’re hungry for growth, aligned with our operating principles, and ready to get to work, you won’t find a better place to accelerate your career.

Podium builds AI products that help local businesses engage customers, convert leads, book appointments, and manage customer relationships across Healthcare, Automotive, and Home Services. We are looking for an experienced product and privacy lawyer at the Director level to help shape how we build and deploy AI across our core verticals. Reporting to the General Counsel, you will work directly with the teams building our products, own practical privacy and AI governance programs, and be a critical member of a small legal team. This is a senior individual contributor role with no direct reports, significant ownership, and direct influence on product decisions.

What you will be doing

Regularly meet with internal teams (e.g. Product, Engineering and AI teams) to understand strategies, roadmaps, and initiatives, and advise throughout the product lifecycle, from early design and development through launch, deployment, and ongoing monitoring.
Provide legal advice and counsel on a variety of product compliance matters, including AI, privacy, data rights, intellectual property, and consumer protection, and structure, negotiate, and advise on transactions with AI providers, data partners, and integration partners, including product terms, data processing agreements, and business associate agreements.
Partner closely with Product Management, Engineering, Partnerships, Marketing, Security, and the rest of the Legal team to ensure our products and services comply with applicable regulations in existing markets and industries and also help guide our expansion, with particular focus on AI products in Healthcare, Automotive, and Home Services.
Provide legal and regulatory guidance on the design and modification of products, proactively identify associated risks and recommend mitigation strategies, review product user experiences to ensure legal compliance and proper disclosures, and help translate guidance into product requirements that the Product, Engineering, Marketing, Sales, and Legal teams can implement.
Advise legal and business/product organizations on privacy issues and practical privacy considerations, and own the development and implementation of scalable product, privacy, and AI review process, including impact assessments, launch criteria, playbooks, and escalation paths.
Identify applicable regulatory or legal privacy and AI risks associated with existing and new laws, conduct gap assessments, and advise on appropriate controls, risk mitigation options, and compliance strategies. Translate evolving requirements into prioritized product and operational changes.
Manage cross-functional privacy-related projects, including but not limited to data mapping, permitted data uses, retention and deletion, and tracking technologies.