Summary
Senior AI Product Leader with 20+ years shipping consumer and platform products at global scale. Sole PM leading a 30-engineer team at Google building the AI grounding and factuality infrastructure that powers AI Search and Gemini. Secured executive investment and additional engineering headcount to scale the platform into Google's standard factuality measurement across Search. Before Google: consumer product leadership at Amazon, Marriott, Walgreens, Albertsons, and U.S. Bank. Next: senior IC leadership at AI-native companies where AI is the product, not a feature.
Experience
Google · Knowledge & Information · New York
Publicis Sapient · New York
AI & Product Skills
AI / Machine Learning
Grounding & factuality systems, eval design, RL reward signals, non-deterministic UX, voice interfaces, ML personalization, RAG, LLM product
Product Leadership
0→1 product, platform strategy, roadmap, OKR frameworks, cross-functional leadership, executive alignment, A/B experimentation
Delivery
Agile / SAFe, mobile (iOS/Android), API product, data platforms, consumer e-commerce, loyalty systems
Certifications
Education
Univ. of Technology Sydney
B.Sc. Information Technology · 2002–2007
Univ. of Texas at Austin
International Exchange Scholarship · Aug–Dec 2005
Patent
Rich recording and playback of program execution
US Patent · Amazon · 2013
Experience, continued
Amazon · Seattle, WA
KPMG US · New York
Merrill Lynch (Contract) · New York
Razorfish · ActiveHealth Management (Aetna) · BearingPoint
Selected Impact
| 50% | Reduction in ungrounded AI responses across Google Search |
| $1B+ | Revenue attributed to myWalgreens AI Wellness Companion (105M members, 1 in 3 Americans) |
| 140K+ | Premium properties scaled on Homes & Villas by Marriott Bonvoy |
| #2 | U.S. Bank mobile app nationally ranked, delivered in under 8 months |
| 100+ | Countries for Amazon Appstore global launch; 2× acquisition |
Design & Research
User research, prototype-driven discovery, jobs-to-be-done, usability testing, Figma (read), A/B design, qual + quant mixed methods
Domain Expertise
Tools
SQL, Python (read), Figma, Looker, Mode Analytics, Jira, Amplitude, LaunchDarkly
POV
"The cost of implementation is collapsing. Taste, judgment, and customer understanding are the new bottleneck."
adamlewkovitz.com/essays