AI & Data Product Manager
I build AI-powered tools that turn complex regulatory and compliance challenges into scalable, automated operations. 11+ years at Google and Roblox across product management, compliance, and Trust & Safety.
I came from pure humanities — linguistics, East Asian literature, translation — and taught myself to code through curiosity and necessity. I didn't set out to become a PM; I became one by building: automation scripts, SQL pipelines, AI systems, Chrome extensions. Eventually, I had built enough to prove I already was a PM.
What I do
RAG chatbots, bulk LLM inference pipelines, agentic systems, and AI-powered automation for enterprise operations at scale.
EU DSA, CMA Commitments, content moderation policy. Building systems that make legal obligations scalable and audit-ready.
Advanced SQL, Python pipelines, and end-to-end automation — replacing high-stakes manual processes with reliable, repeatable systems.
Translating complex regulatory and business requirements into technical direction across Engineering, Legal, Policy, and executive stakeholders.
Featured Work
Designed an end-to-end RAG knowledge assistant for the 900-person Privacy Sandbox Working Group, indexing 12,000+ restricted documents. Won 2nd place in the Google Privacy Sandbox TPgM AI Hackathon.
Built a bulk LLM inference pipeline using SQLMiner to auto-summarize thousands of legal removal requests, surfacing AI-generated summaries directly in the team's primary management dashboard.
Built browser automation tools — a node.js proof-of-concept and a production Chrome Extension — that processed tens of thousands of cases, saving $50k+ in vendor time and eliminating a massive backlog.
Automated CMA-mandated quarterly reports with an E2E ETL pipeline — cutting generation time from 60–80 person-hours to under 5 (10x reduction), with zero errors and >95% auditability. "That was the smoothest cycle ever." — Legal
Skills
Publications & Awards
Other Work
Research Papers
Data Tools
Not to be confused with other Kieran Maynards in England. He is not me, and I am not he.