I'm Chris Kendrick, a former Meta director with a background in law, product, and global privacy operations.
I build organizations that help research and product teams make clear, accountable decisions about privacy and AI risk.
Global teams. Accountable decisions. Measurable outcomes.
I helped stabilize privacy review for a generative AI research organization in one quarter while supporting more than 100 launches.
The work combined staffing changes, researcher partnerships, and a reusable decision framework developed with Legal.
Read the AI review storyI supported 100+ full time employees within my organization through direct support of senior staff and leadership through managers. My work included hiring, manager development, organizational design, and support through growth and change.
How I build and support teamsI cofounded an operating model for risk review decisions across multiple product groups, bringing five workstreams into one plan and coordinating an inaugural internal audit that closed with three minor findings.
Read the governance storyProducts I build to put judgment, constraints, and release decisions into practice.
Product design and development
An adaptive piano learning product connecting guided practice, MIDI performance feedback, and progress. I defined the learning model and took the product from specification through deployment and iteration.
Explore the piano project
Software and connected hardware
A 3D printing hub that brings materials, live printer state, and custom storage design together. I designed the journey, architecture, and integrations around the realities of a working home workshop.
Explore the printing projectWake with one action, control the television, and suspend reliably. A small product experience with real software, protocol, and hardware constraints.
Whether I'm building a product or leading an organization, I start with the experience people need and the decisions someone must own.
I use coordinated AI agents for research, design, engineering, and review. I set priorities, resolve tradeoffs, and decide what evidence is enough to ship. The tools extend what I can build; responsibility for the outcome stays with me.
My work has taken me from the courtroom to connected home product management, then to building and transforming global privacy and risk review organizations at Meta.
That background shapes how I work today: understand the human problem, make a clear decision, and stay close enough to the implementation to know whether it works.
I'm interested in leading AI governance and privacy teams.
If you're building the organization, review process, or decision framework your products need, I'd welcome a conversation.