Joshua Theophilus

Technical Product Manager.

I lead technical products from idea to production, combining product strategy, growth, and hands-on AI product building with 10+ years of zero-to-one experience.

Technical Product ManagerGrowth EngineerAI Product Builder

Lagos, Nigeria · Open to global opportunities

Joshua Theophilus

Product thinking. Engineering execution.

I've spent 10+ years building, leading, launching, and growing zero-to-one products across startups and technology teams.

My foundation is product, understanding problems, validating opportunities, designing systems, aligning teams, and getting products into users' hands.

As AI changed what became possible, I chose not to remain a product leader who only manages technical execution. I went deeper into the engineering layer, learning to architect AI systems, build software, work with models and agents, manage infrastructure, and ship production products myself.

Today, I work across the full product system: Strategy → Product → AI → Engineering → Growth.

I build products myself, lead teams building larger systems, and experiment with how AI changes the way products are researched, designed, engineered, tested, and operated.

10+ Years
Zero-to-One Product Experience
50K+
People Trained
65+
Countries Reached
Ex-Meta
Lead Trainer
Top 1%
Product Mentor, ADPList (2023)
Founder Institute
Alumni

MBA, Quantic School of Business and Technology. Currently pursuing an MS in AI Engineering.

Selected Work

AI product builds I use to learn, products I have led, and experiments exploring how AI changes product and engineering work.

AI Product Builds

Learning projects and experiments that show how I approach architecture, AI workflow design, and evaluation.

LogPal AI product screenshot
01

LogPal AI

Learning Project

Conversation & Context Intelligence

A learning project that turns meetings, voice notes, recordings, files, and follow-up context into structured intelligence, actions, and reports.

Mobile

View Case Study →Visit ProductComing soon
Resulo AI product screenshot
02

Resulo AI

Learning Project

Career Intelligence & Application Automation

A learning project that analyzes and qualifies job opportunities, prepares tailored applications, and keeps candidates in control before submission.

Web + Mobile

Jobs Analyzed in Testing
1,347+
Jobs Analyzed in Testing
Application Packages Built in Testing
189
Application Packages Built in Testing
View Case Study →Visit ProductComing soon

Projects I Lead

Products and teams I've led across strategy, technical execution, transformation, AI integration, GTM, and growth.

EzzyCare product screenshot

EzzyCare

HealthTech · Healthcare SaaS / Enterprise Health Platform

Transforming appointment booking into a connected healthcare platform for care seekers, doctors, hospitals, and assisted care agents.

Product and Transformation Lead (Independent)Web + Mobile

Major platform transformation delivered in about 4 months.

RentBook Properties product screenshot

RentBook Properties

PropTech · Property Marketplace + Property Management SaaS

A multi sided property platform combining discovery, property management, verification, AI assisted search, and intelligent listing tools.

Product and Technical Lead (Independent)Web + Mobile

Product and team restructuring alongside AI product expansion.

DropLivo product screenshot

DropLivo

Consumer Social / Experiences · Consumer Mobile SaaS

The product lineage from PartyJor Moments to a standalone consumer experience designed around richer digital expression.

Group Head of Product and InnovationMobile

New product built and launched in about 6 weeks.

FoodBridge product screenshot

FoodBridge

FoodTech / AgriCommerce · Commerce + Food Distribution Platform

Rebuilding a stalled food commerce MVP while restructuring product, growth, GTM, technical execution, and team operations.

Head of Product and Growth (Contract)Web

Team restructured from 20 to 12, stalled MVP rebuilt and launched in about 6 months.

Experiments

Agentic systems I build to explore how AI changes product and engineering workflows.

Agentic QAExperimental

QAForge

Two Agent QA & Broad Web Application Testing Workspace

A QA workspace where two AI coding agents from two providers run independent test runs and peer review each other. Evidence, not agent agreement, determines a result. Not penetration testing.

  • Two Agent Review
  • Evidence First
  • Browser Testing
  • Human Gates
  • Open Source
Type
Open-Source QA Workspace
Agent Environments
OpenAI Codex + Claude Code
AI SecurityExperimental

Hullproof Free

Security Standard & Pre Launch Gate for AI Assisted Builds

Security requirements and a pre launch gate for AI assisted builds. A read only Claude Code kit with every BLOCKER and CRITICAL requirement, 110 in all.

  • Security Standard
  • Release Gate
  • Evidence
  • Read Only Audit
  • Human-in-the-Loop
  • Open Source
Type
Open-Source Developer Kit
Agent Environments
Claude Code

From idea to production.

Strategy → Product → Engineering → Growth

01

Discover

  • Research
  • Problem Definition
  • Opportunity Validation
  • Customer Understanding
  • Product Strategy
02

Design

  • Product Architecture
  • AI Workflows
  • System Thinking
  • User Experience
  • Technical Scoping
03

Build

  • Technical Direction
  • Full-Stack Development
  • Agentic Systems
  • Integrations
  • Infrastructure
04

Ship & Scale

  • Deployment
  • Analytics
  • Experimentation
  • Product Operations
  • GTM
  • Growth

Build to understand.

I approach product with a founder's mindset: stay close to the problem, understand the system, and turn insight into something people can actually use.

I learn by building. I test assumptions, break things, rebuild them, document what works, and carry those lessons into the next product.

For me, product, engineering, and growth are not separate conversations. They are different parts of the same job: turning insight into impact.

Let's talk product.

I'm open to conversations around AI products, product leadership, technical product roles, ambitious zero-to-one problems, and teams building what comes next.