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Vice President of Engineering at Meta
I’m a technology and AI executive with deep experience building and scaling enterprise‑level engineering and AI organizations. I have shaped long‑range product, platform, and architectural strategies at few of the world’s most influential technology companies. Across Pinterest, LinkedIn, Yahoo! and AT&T Labs, my career has centered on leading teams that build foundational intelligence, drive platform evolution, and deliver product experiences with global impact. I operate at the intersection of AI, engineering, product, safety, and business strategy, guiding companies through technological inflection points and aligning them around durable long‑term bets. At Pinterest, I was hired to help realize the company’s vision of moving Pinners from inspiration to action through world‑class, AI‑first personalized discovery. Reporting to the CTO, I led an organization that grew from ~200 to ~1,000 engineers across AI Foundations, Consumer Engineering, Trust & Safety, and AI Product. My teams built the AI foundations for personalized discovery, launched zero‑to‑one products like creators and shopping, and advanced ranking, retrieval, CV, ads quality, and safety systems that powered billions of predictions daily. This role strengthened my operational depth, architectural judgment, and enterprise‑scale leadership. As LinkedIn’s Chief AI Officer, I lead enterprise‑wide AI strategy, long‑horizon innovation, and the Core AI teams powering intelligence across LinkedIn’s ecosystem. My remit blends C‑suite strategy with hands‑on leadership — guiding the evolution of LinkedIn’s AI platforms, advancing agents and multi‑modal capabilities, and ensuring innovations remain ethical, inclusive, and aligned with our mission to create economic opportunity for every member of the global workforce. I combine large‑scale operational leadership wi
University of Connecticut
PhD
January 1, 1998 – January 1, 2001
Meta
Vice President of Engineering
May 1, 2026 – Present
Menlo Park, California, United States · On-site
Efekta education
Advisory board member
March 1, 2026 – Present
Chief AI Officer
January 1, 2025 – Present
United States · On-site
Fellows Fund
Distinguished Fellow and Venture Partner
July 1, 2021 – Present
San Francisco Bay Area · Remote
WWW 2022 conference
PC co-chair WWW 2022
July 1, 2021 – May 1, 2022
Lyon, France
Self.
Angel Investor
January 1, 2021 – Present
United States · Remote
Chief AI Officer and VP of Consumer and Trust Engineering
June 1, 2020 – January 1, 2025
San Francisco Bay Area
VentureBeat
Advisory Board Member for Transform
January 1, 2019 – June 1, 2020
United States
SIGKDD
Member Board of Directors
June 1, 2013 – July 1, 2021
VP of Engineering, Artificial Intelligence
April 1, 2012 – June 1, 2020
Sunnyvale, California, United States
Yahoo
Director of Research, Principal Research Scientist
February 1, 2008 – April 1, 2012
Yahoo
Senior Research Scientist
January 1, 2006 – January 1, 2008
AT&T
Senior Research Scientist
August 1, 2001 – January 1, 2006
Unconscious Bias
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience in leading AI initiatives at major tech companies like LinkedIn, Pinterest, and Meta, along with advisory roles and angel investing in AI startups, indicates a strong alignment with an innovative, fast-paced, and AI-centric culture. Their involvement in academic and industry boards (SIGKDD, WWW conference) also suggests a commitment to community and knowledge sharing. However, the target role of 'Data Analyst' is a significant mismatch for a candidate with a Chief AI Officer and VP of Engineering background, which suggests a potential overqualification or a misunderstanding of the target role's scope. This mismatch significantly impacts cultural fit for a hands-on analyst role.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong leadership, strategic thinking, and the ability to build and manage large, diverse technical teams. Their experience as a Chief AI Officer and VP of Engineering indicates excellent operational fit for roles requiring high-level decision-making, cross-functional collaboration, and driving technical vision. The descriptions highlight a focus on impact, innovation, and team development (e.g., AI Academy).