MP Thaker
I ship AI to production, not PowerPoint.
Prevented $400K+ in churn. Built AI platform that cut PM busywork 80%. Built 3 companies with 1 successful exit.
work
product manager
mandate: Turn a 15-year-old e-commerce platform into an AI-native operation without breaking P&L or trust.
- AI transformation platform: Multi-agent system reducing PM overhead by 80%
- Re-platforming initiative: SHOP and CHECKOUT module migration to reduce unplanned work 50% quarterly
- Support automation: AI-powered ticket triage and response system
- $400K+ annual churn prevented through early detection and intervention
- $6M revenue opportunity identified through AI-enhanced analysis
- 80% reduction in repetitive PM task time, 27% team velocity improvement
- Cross-functional impact: 10+ engineers, designers, marketers benefiting from automation
stack: OpenAI / Anthropic abstraction, internal tools, vector store, offline eval harness (precision/latency/cost), red-team tests
founder / head of product
Built 3 companies with 1 successful exit (Subziwalla)
- Subziwalla: 70% retention (2.3x industry), 180% YoY growth, 100:1 LTV/CAC ratio at peak
- Panso: IKEA partnership secured, 65% email open rates (3x industry), 319,950 footfall achieved
systems & experiments
career OS
— 6-agent job search
proof: pipeline diagram, before/after inbox screenshot
hummingbird financial
— wealth ops
proof: rule audit log, category accuracy vs. bank export
canairy early warning
— financial crisis signals
proof: timeline overlay showing trigger vs. event
content creator OS
— idea → 5 assets
proof: before/after calendar, eval rubric snapshot
toolkit
frameworks
ai usage excellence guide
— responsible use, eval harness patterns, safety gates
product development master
— discovery → launch with decision gates & metrics
structured dialogue system
— meeting → decisions → artifacts
sprint metrics framework
— flow, velocity, and early-warning signals
decision-driven development
— every work item tied to a single decision
pm automations
morning status generator
— pulls JIRA/GitHub/Calendar → daily brief
sprint report generator
— velocity trends, blockers, health scores
templates
prd template
— prefilled metrics, rollout, risk checklist
jira bug
— repro, impact, verification matrix
podcast
pm in the pm
real stories from shipping AI: multi-agent systems, evals, costs, and the messy middle. 10–15 minutes, one takeaway per episode.
about
the unconventional path
After building 3 companies (1 successful exit), I stepped into a hands-on AI PM role. Not for title, for reps — because the job changed, and I wanted my hands on the new tools.
what makes me useful
I've been the exec asking "should we?" and the PM proving "here's how." I build reusable AI platforms that teams can ship on, with the guardrails Legal/Sec can live with and numbers Finance will sign.
how I work
- ship learning systems: 80% in prod beats 99% in staging
- platform > project: every solution should make the next one faster
- governance at speed: partner with Legal/Sec early to maintain velocity