MP Thaker
I democratize AI for organizations tech companies left behind
AI implementation for legacy businesses and nonprofits. No gatekeeping jargon. No consultant dependency. Working systems in weeks, not months. • $400K saved • $6M+ identified • 70% retention (2.3× industry)
who this is for
retail & hospitality operators
You're hearing competitors talk about AI for customer experience, inventory, and operations. You know you need to modernize, but tech vendors don't understand your constraints.
My background: Opened Ace Hotel New York • Managed 4-property boutique hotel group (50+ team) • Built e-commerce platform serving 1,500+ retailers • I speak your language because I've lived your challenges.
operations & logistics leaders
Manual processes consuming excessive staff time. Data exists but not being analyzed or used. Competitors using AI to gain efficiency advantages. You need help, but don't want consultant lock-in.
My background: Built microfulfillment backend for e-grocery warehouses • Achieved 70% retention (2.3× industry) with <$10 CAC • Scaled operations while maintaining unit economics.
nonprofits & mission-driven organizations
You deserve Fortune 500-level AI tools, not Fortune 500 consulting fees. Your mission matters, and technology should amplify your impact, not drain your budget.
My approach: Accessible pricing ($10K assessment vs. $50K consulting) • Knowledge transfer (you own the capability) • Human-centered AI (amplify people, don't replace them).
work
product manager
mandate: Turn an 18-year-old established b2b2c gifting platform into an AI-native operation without breaking P&L or trust.
- LLM platform: reusable components (prompt packs, tools, evaluators, guardrails) with governance (policy-as-code, approval workflows)
- PM automation: agents that draft PRDs from discovery notes, generate status, and surface decision risks
- Support triage: ticket classifier + reply draft + deflection to order-aware FAQs
- $6M+ ARR opportunities identified (attribution model w/ confidence bands)
- busywork ↓ up to 80% in PM workflows (baseline: weekly hours; sample n=7 PMs)
- ~$400K churn prevented via proactive ticket routing and SLA hit-rate lift
- platform reuse across 4 teams; average integration time ~1–2 sprints
stack: OpenAI / Anthropic abstraction, internal tools, vector store, offline eval harness (precision/latency/cost), red-team tests
head of product
Co-founded the omnichannel hospitality management platform. Built unified customer profile system consolidating fragmented data across properties. Led product from 0→enterprise clients including Ingka Group (IKEA). 12% MoM growth.
- Scaled team 5 → 30 across product/eng/design; owned P&L and compliance
- Introduced AI-powered marketing tools through empathetic change management and user-centric design
head of product
Co-founded hyperlocal e-grocery marketplace, scaling from 0→20,000+ users through successful exit
- Built product/eng/ops organizations from scratch; 70% retention (2.3× industry average)
- Achieved <$10 CAC (90% below industry) with $1,000+ LTV through retention-first approach
hospitality operations manager
Decade-long career in boutique hospitality management across New York and Mexico, establishing service excellence standards and operational systems.
- Opened Ace Hotel New York as part of founding operations team
- Managed properties at Cooper Square Hotel and transitioned operations to Standard East Village
- Oversaw 200 boutique hotel accounts across the Americas for Mr and Mrs Smith
- Led operations for 4 properties at Coqui Coqui in Yucatan, Mexico (2014-2016)
systems & experiments
career OS
— automated job search system → business workflow automation
proof: GitHub repo with eval framework, before/after conversion metrics. B2B translation: Job matching → Lead scoring, Resume tailoring → Email personalization, Outreach → Customer nurture
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
ai content pipeline
— 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
start here
free 30-minute AI opportunity assessment
what you'll get
- Clarity on AI opportunities: 1-2 specific places where AI could help your business (not generic "AI is the future" platitudes)
- Realistic expectations: What AI can actually do, what it would cost (time and money), and what outcomes to expect
- Honest assessment: If AI isn't your priority right now, I'll tell you what is. No sugarcoating to make a sale.
- Action plan: Whether you work with me or not, you'll have concrete next steps
"No obligation. No sales pitch. Just honest evaluation of where AI fits your business."
After managing 50+ people in hospitality, founding two companies, and building AI systems at scale, I learned: most organizations don't need more complexity. They need clarity.
about
the unconventional path
I spent a decade in boutique hospitality—from opening Ace Hotel New York to running properties in Mexico—before moving into tech. That's where I learned to anticipate needs, make complexity feel simple, and create experiences people remember. Those same principles now guide how I build AI products: elegant, trustworthy, designed for humans.
After founding two companies and leading product for 8 years, I chose hands-on PM work over executive roles. Not for title, for reps—because the job changed with AI, 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 bring hospitality-grade service standards to AI product development—building reusable platforms that teams can ship on, with 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