AI product leadership

Staff / Principal PM · India

AI capabilityinto productspeople adopt.

I lead enterprise AI from model quality and infrastructure economics through product experience, commercialization, and repeated customer use.

Selected work

Selected work · 01–04

Four products. Four kinds of judgment.

Product strategy across agents, domain-specific models, insight discovery, and enterprise search. Sensitive operating context remains sanitized.

How I work

A product operating track

From ambiguity to adopted behavior.

Four moves I repeat across models, platforms, applications, and go-to-market systems.

AmbiguityRepeat behavior
01SYSTEM

See the whole system

Connect models, data, permissions, experience, GTM, and adoption before committing to the shape of the product.

02PROTOTYPE

Make judgment tangible

Use code, agent workflows, and clickable prototypes to make product decisions concrete while they are still cheap to change.

03BEHAVIOR

Instrument real behavior

Define quality, breadth, depth, retention, and unit economics before calling a launch successful.

04CONTEXT

Lead the decision

Align executives, engineers, ML teams, design, and GTM by making evidence, constraints, and tradeoffs explicit.

Experience · 2015—Now

10 YEARS / 4 CHAPTERS

Built across the enterprise AI stack.

Full resume
01

Feb 2025 - Present

Level AI

Senior Product Manager

  • Own AI Workers, Voice of Customer, Conversation Intelligence, and Latitude / Core AI strategy.
  • Lead across 15+ frontend/backend engineers, 5+ ML engineers, and 2 designers.
  • Partner with the CEO, CTO, sales, and marketing from platform strategy through commercialization.
Current
02

2022 - 2025

Contify

Head of Product

  • Led a grounded RAG and knowledge-graph assistant to 85% customer adoption.
  • Scaled enterprise search to 5K daily active users and launched 20+ integrations.
  • Grew the product organization from one to seven PMs.
Chapter closed
03

2020 - 2022

Analec

Product Manager

  • Established continuous discovery and experimentation, increasing product CSAT from 55% to 80%.
  • Shipped CRM personalization that increased usage 18% and NPS by 30 points.
Chapter closed
04

2015 - 2020

Evalueserve

Product Owner

  • Built a flagship B2B SaaS platform from concept to launch.
  • Won the first enterprise customer in three months and reached 20+ customers in year one.
Chapter closed