Deepak Agarwal — CEO
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 with C‑suite strategic stewardship, spanning foundational ML, platform architecture, product alignment, safety, and cross‑company leadership. I’m driven by building durable systems, strong teams, and technologies that elevate how people work, learn, and connect — and by helping organizations navigate the next era of AI‑driven transformation with clarity, responsibility, and ambition. I have deep expertise in recommender systems and have published extensively in the area (100+ papers, including a book) and have built and scaled at least six large scale industry leading recommender systems with massive impact. I am an elected Fellow of the American Statistical Association and have served as PC chair for KDD and WWW conferences.
Stackforce AI infers this person is a SaaS expert with a strong focus on AI-driven transformation and engineering leadership.
Location: Mountain View, California, United States
Experience: 24 yrs 8 mos
Skills
- Ai Strategy
- Engineering Leadership
- Machine Learning
- Ai Foundations
- Product Strategy
- Product Development
- Training Programs
- Statistics
- Content Optimization
- Optimization
Career Highlights
- Led AI strategy at LinkedIn, transforming enterprise capabilities.
- Unified AI and engineering at Pinterest, driving major engagement gains.
- Published over 100 papers on recommender systems.
Work Experience
Chief AI Officer (1 yr 4 mos)
Fellows Fund
Distinguished Fellow and Venture Partner (4 yrs 10 mos)
WWW 2022 conference
PC co-chair WWW 2022 (10 mos)
Self.
Angel Investor (5 yrs 4 mos)
Chief AI Officer and VP of Consumer and Trust Engineering (4 yrs 7 mos)
VentureBeat
Advisory Board Member for Transform (1 yr 5 mos)
SIGKDD
Member Board of Directors (8 yrs 1 mo)
VP of Engineering, Artificial Intelligence (8 yrs 2 mos)
Yahoo
Director of Research, Principal Research Scientist (4 yrs 2 mos)
Senior Research Scientist (2 yrs)
AT&T
Senior Research Scientist (4 yrs 5 mos)
Education
PhD at University of Connecticut
