Henry Robinson

I Ship AI Products That Actually Work

Not another PM with a roadmap deck. I build, deploy, and scale products that solve real problems.

Let's Talk

Find It. Build It. Scale It.

Full-Stack PM who discovered that AI tools let experienced PMs become builders, not just planners.

20 years finding hidden opportunities ($30M at eBay, $500K at SimplyInsured)
Now shipping production AI systems in weeks, not quarters
3 successful exits by scaling without infinite resources

20 Years Scaling Products

  • eBay Motors: $2.4B GMV generated
  • SAP Ariba: 1M+ seller onboarding
  • Xtime (Cox Auto): 0→3,500 dealerships
  • Built products without infinite resources or viral growth

Hands-On AI Builder

  • Full-stack implementation with AI tools
  • Production Express/Node.js backends
  • Multi-agent LLM orchestration
  • From idea to deployed product in weeks

Real AI in Production

  • Story Collector: Dual-agent elderly care system
  • Lucid Motors: Natural Language Service Scheduling System
  • RC Setup Assistant: LLM-powered configuration advisor
  • View Live Demos →

Ready to see what I've built?

AI in Production

Real systems solving real problems for real users:

  • Story Collector - Agentic AI for memory preservation (MVP coded & shipped)
  • RC Setup Assistant - Claude-powered configuration advisor (coded & shipped)
  • Lucid Motors - AI capacity optimizer (shipped, 30% increase)

Story Collector - AI Memory Preservation

Dual-agent AI system for capturing elderly life stories with empathetic conversation and real-time memory extraction. Production Express.js backend with security middleware, deployed on Render.

Technology Stack
Node.jsClaude APIMulti-agent AIProduction SecurityRender
Project Metrics
Production
Status
Builder & PM
Role
100+
Users

Lucid Motors - Service Scheduling

Revolutionary service scheduling system for luxury EV manufacturer. Streamlined appointment booking, real-time availability, and enhanced customer experience for premium automotive service.

The Problem

Luxury EV service centers face a complex scheduling challenge: customers expect premium service with minimal wait times, but service duration varies dramatically based on vehicle condition, part availability, and technician expertise. Traditional scheduling systems create either overbooked chaos or underutilized capacity.

The Solution

Developed an AI-powered scheduling system that uses machine learning to predict service duration based on vehicle data, service history, and real-time shop conditions. The system optimizes technician assignments and provides dynamic scheduling recommendations.

Key Features

Intelligent service duration prediction using ML algorithms
Real-time technician availability and skill matching
Dynamic appointment scheduling with buffer optimization
Customer communication automation with status updates
Integration with Salesforce Service Cloud and parts inventory
Mobile-responsive interface for service advisors

Results & Impact

30% increase in service bay utilization
3-day reduction in average customer wait time
35% decrease in service appointment backlog
92% customer satisfaction score improvement
25% reduction in service advisor administrative time

Technical Implementation

Built using Python with scikit-learn for ML models, integrated with Salesforce APIs, and deployed on AWS with real-time data processing. The frontend uses Next.js with responsive design optimized for tablet use by service advisors.

Live Demo

Service Scheduling Engine Dashboard

Technician Utilization

83%

↑ 12% from last month

Next Appointment

2.4 days

↓ 1.6 days from baseline

FRT Prediction Accuracy

87%

↑ 5% from last month

Vehicles Aging >10 Days

10%

↓ 18% from baseline

Weekly Capacity Planning

MonTueWedThuFri015304560Hours
  • Booked Hours
  • Internal Reserved
  • Same Day Reserved
  • Available Capacity

Technician Utilization Trend

Week 1Week 2Week 3Week 4Week 6506580100Percent (%)
  • Utilization %

FRT Prediction vs. Actual

BrakesElectricalHVACBatteryGlass00.91.82.73.6Hours
  • Predicted FRT
  • Actual Time

Work In Progress (WIP) Distribution

1-3 days: 45%4-7 days: 30%8-10 days: 15%>10 days: 10%
  • 1-3 days
  • 4-7 days
  • 8-10 days
  • >10 days

Technician Resources

TechnicianSkill LevelMobile TechAvailableBookedUtilization
John Doe3Yes32 hrs28 hrs88%
Jane Smith2No40 hrs36 hrs90%
Mark Johnson3Yes40 hrs34 hrs85%
Lisa Brown1No32 hrs30 hrs94%
Robert Wilson2Yes40 hrs38 hrs95%

Aging Vehicles Alert

Air #A5678912 days

Andrew Chen

Waiting for parts - Control module

Air #B1234511 days

Maria Rodriguez

Service approval pending

Air #C7890110 days

James Wilson

Complex diagnosis ongoing

Technology Stack
PythonMachine LearningSalesforceNext.jsAutomotive
Project Metrics
Luxury EV
Industry
In Production
Status
Service Experience
Focus

Camberbot

Comprehensive setup tool for RC vehicles with AI assistant. Features 21+ vehicle support, track optimization, and AI-powered recommendations. Completely designed and coded by me.

Technology Stack
ReactViteTailwind CSSFlaskPythonAnthropic Claude APINode.js
Project Metrics
21+
Vehicles
Live Demo
Status
100+
Users

Terminate Mate - AI Legal Assistant

AI-powered legal assistant for employment termination guidance. Built in 48 hours during a hackathon, providing instant legal advice for workplace termination scenarios.

The Problem

Most people facing employment termination cannot afford legal consultation ($200-500/hour), and 91% skip reading legal documents entirely. This creates a knowledge gap where employees don't understand their rights, severance entitlements, or next steps during a vulnerable time.

The Solution

Built an AI-powered conversational interface that makes employment law accessible through natural language. The system asks targeted questions about the termination circumstances and provides personalized guidance based on California employment law.

Key Features

Conversational AI interface for legal guidance
Personalized advice based on termination circumstances
California employment law knowledge base
Next steps recommendations and resource links
Document templates for common legal situations

Results & Impact

Technical Implementation

Developed using Flask with Python, SQLAlchemy for data management, and integrated with OpenAI GPT for natural language processing. The system includes RAG (Retrieval-Augmented Generation) using LlamaIndex for enhanced legal knowledge retrieval and decision tree logic for personalized recommendations.

Live Demo

⚖️
Click to Load Demo
Experience the interactive AI legal assistant prototype
Technology Stack
FlaskPythonSQLAlchemyAI/MLLegal TechHackathonEmployment Law
Project Metrics
48 Hours
Built In
Honorable Mention
Status
Legal AI
Focus

How I've Scaled Products

Select achievements from 20 years of building

X

Xtime: 150 → 3,500 Dealerships

(25% Market Share)

Role

Principal PM

Timeline

2014-2021

Challenge:Lack of trust between dealership and customers
Solution:Mobile-first platform with service transparency, online approvals and payments
Result:$35M ARR, $112 Incremental per Customer Visit
Key Learning:B2B growth requires deep customer understanding and product excellence
📊
Xtime Dashboard
Screenshot coming soon
E

eBay Motors: $240M GMV Generated

Role

Category Manager

Timeline

2007-2010

Challenge:Vehicle Parts/Vehicle Compatibility, Cross Border Trade Inefficiencies
Discovery:Limited inventory, frequent returns, bad buyer experiences
Solution:Worlds first marketplace with part to vehicle compatibility Search, Dynamic pricing based on exchange rates
Result:10x listings increase, 50% conversion increase patent secured
💰
eBay Motors Analytics
Screenshot coming soon
S

SAP Ariba: 0 → 1M Sellers

Role

Senior PM

Timeline

2010-2014

Challenge:Monetizing sellers, solutions integrations
Solution:B2B Marketplace, Integration Platform
Result:1M sellers, partnerships with Dell/Oracle/Microsoft
🏢
Ariba Marketplace
Screenshot coming soon

Interested in more projects?

I have additional projects and case studies available for review. Get in touch to discuss specific areas of interest or challenges in your organization.

Discuss Projects

Professional Experience

A nearly two decades of product leadership across breakthrough technologies, from automotive innovation to enterprise solutions to AI-powered platforms.

Career

MyLife logo

Head of Product at MyLife

Present

Leading product development for Story Collector, a dual-agent AI system for elderly memory preservation. I architect and implement the full stack - from Express.js backends with production security to multi-agent conversation orchestration. Built and deployed a system serving 100+ users with empathetic conversation management and real-time memory extraction.

Lucid Motors logo

Product Lead AI Service Platform at Lucid Motors

Feb 2025 - Completed

Led product development for an AI-powered service platform that revolutionizes luxury EV service operations. Designed and delivered an intuitive AI system that translates everyday customer language about vehicle problems into accurate repair time estimates, dramatically improving service department efficiency and customer satisfaction.

 logo

Independent Product Strategy Consultant

2022 - Present

I collaborate with Zero to One companies to transform innovative ideas into market-ready products. My approach combines strategic thinking with hands-on problem solving across emerging technologies.

SimplyInsured logo

Head of Product at SimplyInsured

2021-2022

I transformed how small businesses find and purchase health insurance by leading a dedicated product team. Beyond building innovative marketplace features, I established robust processes for product discovery and analytics that directly influenced business growth.

Xtime logo

Principal Product Manager at Xtime

2014-2021

I shepherded a suite of mobile applications that revolutionized how automotive dealerships manage service operations. My work connected service departments, customers, and technicians through intuitive interfaces that enhanced both efficiency and customer experience.

SAP Ariba logo

Senior Product Manager - Cloud Integration at SAP Ariba

2013-2014

I orchestrated seamless connections between Ariba's cloud solutions and enterprise software ecosystems. By creating intuitive data flows between previously siloed systems, I helped large organizations unlock the full potential of their procurement and supplier management.

Ariba logo

Head of Product - Ariba Discovery at Ariba

2010-2013

I led product strategy for Ariba Discovery, a pioneering B2B platform that connected buyers and suppliers in entirely new ways. This innovative marketplace approach within Ariba's established ecosystem became a key factor in the company's acquisition by SAP.

eBay logo

Category Manager - Auto Parts and Accessories at eBay

2007-2010

I reimagined how auto parts are bought and sold online by orchestrating a comprehensive category strategy for eBay Motors. By deeply understanding both enthusiasts and everyday drivers, I created tailored buying experiences that significantly grew this specialized marketplace.

General Motors logo

Senior Integration Engineer at General Motors

2001-2005

I bridged the gap between visionary design concepts and technical manufacturing realities for vehicle interiors at GM. By coordinating cross-functional expert teams, I helped transform ambitious ideas into production-ready systems that balanced aesthetics, functionality, and manufacturability.

Academic Background

Certifications

Completed: Fall 2025

Completed: November 2024

Grade: 95%

Focused on AI/ML product strategy and implementation

Completed: Fall 2022

Grade: Ninja Tier

Comprehensive curriculum on blockchain-based financial systems, smart contracts, and decentralized applications (NFT Certification)

Pragmatic Institute

Product Master Certification

Completed: 2011

Advanced certification in product management, strategic planning, and product marketing mastery (8-course series)

Ready to Ship AI That Actually Works?

Need a product leader who codes, ships, and scales? I've built production AI systems serving 100+ users and delivered 30% efficiency gains. Let's discuss your next breakthrough.

Whether you need help scaling from zero to market leadership, building products that drive acquisition value, or navigating technical challenges at growth stage, I've done it multiple times.

Let's discuss your next product challenge

Currently based in the San Francisco Bay Area

Open to Product Leadership Roles and product consulting engagements

© 2025 Henry Robinson. All rights reserved.