Step inside the mind of an AI Product Manager.
I'm Suryansh Gupta — Senior Associate Product Manager building LLM-powered B2B SaaS. I turn multi-day manual workflows into intelligent systems that move in minutes.
Not a resume. A running process.
I turn painful manual workflows into intelligent systems.
I'm an AI Product Manager who lives at the intersection of Generative AI and business impact. I don't reach for LLMs because they're exciting — I reach for them because they collapse days of human effort into minutes and unlock revenue that didn't exist before.
Problem-obsessed, AI-first, ruthlessly data-driven.
I start from the user's pain and the business outcome, then choose the right tool — LLMs, VLMs, or plain heuristics. I ship, measure, and iterate through tight feedback loops. Monetization is a product surface, not an afterthought.
0→1 ownership, from strategy to production.
I lead cross-functional teams across engineering, design, and data — turning ambiguous problems into shipped systems. I've automated the un-scalable, launched new revenue streams, and scaled products to tens of thousands of users.
AI Product Management professional with 2+ years building and scaling LLM-powered B2B SaaS products — driving 0→1 innovation, workflow automation, and data-driven product strategy. I build scalable Generative AI systems that optimize complex operations, unlock revenue, and deepen engagement.
Don't read the numbers. Feel them.
Every role is an environment to explore.
Leading AI-native product strategy for LLM-powered B2B SaaS.
- Architected a next-gen Generative AI framework (LLMs + VLMs + heuristics), turning multi-day reporting into automated pipelines — 2 days → under 20 minutes.
- Built an AI content-intelligence pipeline processing 150,000+ URLs at 99.7% efficiency — eliminating effort equivalent to 30 analysts.
- Launched an AI startup-intelligence newsletter, scaling to 50,000+ global subscribers with fully automated generation, curation, and distribution.
- Re-architected monetization from account-level to user-level credit governance with an end-to-end credit/usage export system.
- Designed a phone-number-based credit monetization stream — +25% revenue growth across SaaS lines.
- Owned the 'Follow' personalization system for real-time company tracking, deepening engagement and retention.
Enterprise financial intelligence relied on multi-day manual reporting and analyst-heavy content workflows that couldn't scale.
Treat AI as an operating layer over structured financial data. Combine LLMs, VLMs, and rule-based heuristics so automation is reliable, not just impressive — and make monetization a first-class product surface.
Multiple 0→1 AI systems in production, a new revenue stream, and a step-change in operational throughput — delivered through cross-functional Agile execution across engineering, design, and data.
Reliability is the real product. The wow moment is going from 2 days to 20 minutes; the trust comes from doing it at 99.7% every single time.
Open a file. Explore the build.
How I think, not just what I ship.
AI-first, problem-obsessed
Start from the pain and the outcome. LLMs are a means, never the mission.
Automate the un-scalable
The best wins turn multi-day human bottlenecks into minutes.
Monetization is product
Credit governance and revenue streams deserve first-class design.
Ship, measure, iterate
99.7% efficiency and +25% revenue come from tight feedback loops.
Own it end-to-end
From strategy through cross-functional Agile execution to production.
Talk to my digital twin.
Powered by Claude, grounded only in this portfolio. Ask anything a hiring manager would.
Let's build something unforgettable.
Recruiter, founder, or investor? If this experience made you curious, the next move is a conversation. I'm always up for hard product problems.