4+ years building AI‑native products
Mamoon Mondal
I build AI-native products end to end — running a PLG self-serve product and an enterprise B2B agentic product in parallel, owning 0-to-1 discovery, agent design, and eval-driven reliability.
KHUMBU HIMAL · 27.99°N 86.93°E
Base Camp — Selected work
Products & agents I've shipped.
Building a 5x PM agent on Claude Code
An always-on autonomous PM agent: one Slack message in, a PRD, a mockup, and a Linear ticket out — built on Claude Code + MCP with parallel research sub-agents and full observability.
Automating fax-based referral intake with an AI agent
Specialty clinics still run referrals over fax. An AI intake agent cut turnaround 40% and 4x'd per-user operational efficiency.
Rebuilding Supanote's PLG activation path
Signup→subscription sat flat at ~12% for months. I reframed the quarter around conversion, found the real leak — setup, not the demo note — and lifted trial-to-paid +5% in two months.
Re-architecting benefits verification into an agentic system
Took a brittle rule-based enterprise workflow to a harness-based agent orchestration — 2.2x ARR in 3 months, with eval-gated reliability for an enterprise bar.
Camp II — About
I'm an AI product manager who builds AI-native products from zero to one. As founding PM at Supanote.ai, I run a PLG self-serve clinical-scribe product and an enterprise B2B benefits-verification agent in parallel — owning discovery, agent design, and the eval harnesses that keep them reliable in production.
Before that, at Innovaccer, I shipped AI agents that automated healthcare operations at scale, lifting per-user efficiency 4x and unifying post-acquisition product integrations.
I use AI heavily inside my own workflow too — building internal agents on Claude Code + MCP that automate program and design ops and multiply my throughput as a PM. I write about those experiments below.
South Col — Experience
Where I've shipped.
Founding Product Manager · Supanote.ai
Bengaluru, India
- Lifted PLG paid conversion 5% in 2 months on the AI clinical scribe through funnel analysis, onboarding iteration, and reliability improvements — running PLG and enterprise B2B in parallel.
- Scaled the B2B benefits-verification agent to 2.2x ARR in 3 months post 0-to-1 launch by re-architecting rule-based workflows into an agentic, harness-based orchestration with parallel agents, skill hierarchies, tool calling, and context/memory loops.
- Drove production incident rate from 3.5% to <1% in 2 weeks via architectural audits and a custom eval harness.
- Built the founding product operating layer — analytics, agile cadence, and internal AI agents automating program and design ops — driving a 5x lift in product velocity.
Product Manager · Innovaccer
Noida, India
- Automated fax-based referral intake for specialty clinics with an AI agent, improving per-user operational efficiency 4x (40% faster TAT).
- Scaled adoption of an automation platform 75% in 3 quarters by segmenting users, uncovering key pain points, and shipping bi-weekly experiments guided by KPIs.
- Improved complex UI flows via user-journey analytics and A/B testing, lifting active engagement 35%.
- Scaled automation execution capacity 2x through demand forecasting and rapid cross-functional delivery, maintaining <1% error rate under higher load.
- Unified post-acquisition product integrations into a single UX, achieving 100% SLA adherence and <2% incident rate post-launch.
- Built a contract-driven integration layer replacing one-off API/Kafka hooks, cutting rollout time by 67%.
The Balcony — Education
Indian Institute of Technology (IIT) Dhanbad
B.Tech, Mechanical Engineering · CGPA 8.28