Rahul Garg — Co-Founder
I’ve spent my career building products from scratch - across marketplaces, SaaS, and consumer platforms - often in highly uncertain environments. Across 12+ zero-to-one journeys, one pattern kept showing up: The hardest part wasn’t building - it was understanding users fast enough. Feedback loops were slow. Research came too late. Critical decisions were made with incomplete understanding. That led me to focus deeply on how users actually think, behave, and make decisions - through real-world building, not theory. Now building Vectorial - a human behavior simulation engine that helps teams validate ideas, messaging, and decisions instantly. Goal: compress months of user learning into hours while drastically increasing the learning coverage.
Stackforce AI infers this person is a SaaS product leader with a strong focus on user behavior and decision-making.
Location: San Francisco, California, United States
Experience: 11 yrs 7 mos
Skills
- Product Strategy
- User Experience
- Product Management
- User Research
Career Highlights
- Expert in user behavior and decision-making.
- Co-founded innovative AI product for user validation.
- Led multiple successful zero-to-one product launches.
Work Experience
Vectorial AI
Co-Founder (1 yr 3 mos)
Self-Employed
Exploration Phase (Product, AI & User Behavior) (6 mos)
Zime.ai
Head of Product & Tech (Co-founder) (1 yr)
Zenefits
Product Lead (5 mos)
REA India
Product Director (1 yr 5 mos)
Senior Product Manager (1 yr 10 mos)
TravelTriangle
Product Manager (User Research & Growth) (6 mos)
ElasticRun
Product Manager (New Business / 0→1) (3 mos)
Snapdeal
Associate Product Manager (8 mos)
Blinkit
Product & Operations (11 mos)
ZS Associates
Business Technology Associate (1 yr 7 mos)
Genpact Headstrong Capital Markets
Associate - Application Development & Maintenance (1 yr 3 mos)
Deloitte
Enterprise Risk Services Consultant (5 mos)
Education
MBA at Indian School of Business
Bachelor's Degree at Birla Institute of Technology and Science, Pilani
Fellow at Climate Change: Learning for Action (LFA) at Terra.do