Sanjay Vadi
Product Leader | AI/ML Transformation | Aerospace & Enterprise | $1.8B Impact | Ex-Boeing
- Role
- Ai Product Consultant at Betwixt
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Sanjay Vadi
I build and scale product organizations that transform AI into competitive advantage and measurable business outcomes. I specialize in taking complex AI/ML technology and turning it into products that drive real business value. At Boeing, I led cross-functional teams of 15-20 people building enterprise AI infrastructure that supported 100+ data scientists. The results:$1.8B in value through ML-driven pricing optimization, 35% reduction in satellite processing time, and 50% faster proposal cycles.My approach combines deep technical understanding with strategic product thinking. I don\'t just build products—I build the teams, frameworks, and strategies that enable organizations to scale AI capabilities.Six years at Boeing managing AI/ML product strategy across satellite operations, procurement, and proposals. I partnered with C-suite leadership, mentored product managers, and managed portfolio strategy across 5+ product lines.Earlier in my career, I built and managed a 30-person product organization with P&L ownership at HP, launching mobile products that generated 35% of division revenue.What I Bring Team building & mentorship (mentored 5 PMs who earned promotions) Multi-product portfolio strategy AI/ML product delivery at scale Aerospace domain expertise P&L ownership and cross-functional leadershipI\'m currently advising early-stage companies on AI product strategy while being selective about my next role. If you\'re building product teams that need to scale AI capabilities, let\'s connect. s•••••••@gmail.com
Experience
Ai Product Consultant
Apr 2025 — Present · Seattle, WA, US
Advise early-stage companies on AI product strategy, leveraging hands-on prototyping with LLMs, multi-agent frameworks, and modern AI tooling to accelerate MVP delivery by 50% and validate product-market fit.• Developed AI Decision Framework for prioritizing use cases, achieving 40% faster alignment with strategic product goals through systematic evaluation of technical feasibility and business impact
Education
University of New Brunswick
Bachelors in Computer Science, Computer Science
1985 — 1990
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