Portfolio direction
Investment choices, workflow prioritization, product strategy, roadmaps, and executive alignment.
AI platform leadershipJames Coholan · Los Angeles
I lead AI products and platforms from strategy to measurable business value.
I combine hands-on depth in agentic systems and cloud architecture with portfolio ownership, team building, product development, executive alignment, adoption, and P&L accountability.
Leadership evidenceSelected outcomes
Evidence 01Several thousand
paid subscribers / in under two months
Evidence 025-person
AI product team / hired and led
Evidence 038.7M
AI media views / 1.25M watch hours
Evidence 04Acquired
AI product venture / built through exit
00Director-level scope
From portfolio decision to production adoption.
Product development
Discovery, requirements, 0-to-1 execution, platform architecture, integrations, and release.
Operating model
Team building, cross-functional delivery, evaluation, governance, enablement, and adoption.
Business value
Instrumentation, usage, quality, productivity, growth, P&L, and measurable return.
01Product evidence / 2023 - Now
Selected work. AI systems built for adoption and impact.
01
System1 · 2025 - Now
AI Agents & Emerging Products
Own a portfolio of AI agent products and implementation workflows from discovery through P&L. Set product strategy, roadmaps, architecture, instrumentation, release standards, and adoption plans. Built and lead a five-person team across product, engineering, and design.
Workflow needSupport · finance · marketing · product
AI platform orchestration
LLM reasoningRAG retrievalMCP + APIsEvaluation
Business outcomeTrusted, adopted workflow
TeamFive-person AI team hired and led
Product growthSeveral thousand paid subscribers in under two months
MeasurementKPI trees · cohorts · attribution · LTV · churn
EnablementAI-first workflows across product and operations
02Inova Platforms
DeepChamp AI
A production consumer AI platform I architected across SwiftUI, Python microservices, seven models, four data APIs, 38 cloud functions, Firebase, subscriptions, and observability.
9:41AI
DeepChamp
Today's board
Research stateReady
ResearchReasoningExplainability
SwiftUIconsumer client
Pythonmicroservices
GCP + Firebaseproduction infrastructure
7 AI models4 sports APIs38 cloud functions
03Inova Platforms
AIA
A cloud-native AI media and distribution platform I engineered across Python microservices, Kubernetes, GCP, AWS, model pipelines, automated publishing, and audience analytics.
AIA / Audience systemLive signal
Views8.7M
Watch hours1.25M
PlatformAI media
04Acquired · 2023
NextGen Media AI
Architected and shipped an automated creative platform with LLMs, ElevenLabs, Stable Diffusion, and generative media workflows. Then owned product, DevOps, GTM, and P&L through acquisition.
Ideate→Narrate→Generate→Publish
1,000+ signupsSuccessful acquisition
02Media / Proof in motion
Products, audiences, and worlds. Shown, not described.
The work extends from system architecture to product experience, distribution, audience growth, and cultural impact.
01AIA / Product film
An AI media engine built to compound attention.
Outcome8.7M views · 1.25M watch hours
Paris Hilton Music Documentary
NextGen Media AI Product Reel
03Experience / Career arc
Entertainment instincts. Enterprise discipline. AI systems.
The throughline is full-stack ownership: identify a valuable workflow, architect a trusted system, build the team, earn adoption, and connect the product to business impact.
PlatformTeamsAdoptionROI
System1
Lead Product Manager, AI Agents & Emerging Products
AI platform ownership · five-person team · adoption · P&LInova Platforms
AI Product Engineer & Enterprise Transformation Consultant
Enterprise AI · platform architecture · GTM · acquisitionYMU
Manager, Paris Hilton
5.3M live viewers · 35M social impressions · live operationsLightTwist, YC W21
Founding Team, AI Product Management
260% viewership · 250K impressions · 2K signupsSYB Creative
Founder
48M streams · $300K live-event revenueWME
Associate
$1M in contracts supporting global artists04Method / How I operate
How I lead AI implementation from portfolio decision to measurable value.
01→
Prioritize
Rank workflows by business value, user pain, feasibility, risk, data readiness, and adoption friction.
02→
Design
Define the product, platform architecture, integrations, evaluation criteria, control points, ownership, and rollout.
03→
Operationalize
Lead product, engineering, design, data, and enablement through production release, training, monitoring, and adoption.
04○
Measure & scale
Track usage, quality, cycle time, cost, revenue, margin, and P&L. Reinvest where the evidence supports it.
AI portfolio strategy0-to-1 product developmentPlatform ownership + architectureEvaluation + production readinessAdoption + enablementBusiness value + P&L
Technical depth: agents · RAG · MCP · APIs · CLIs · evaluation · observability · cloud architecture · enterprise integrations
05About / Product and platform leader
Technical enough to set the architecture. Commercial enough to make it valuable.
I work at the boundary between executive strategy and implementation. I translate business priorities into an AI portfolio, organize the team and operating model, guide platform and product decisions, and stay accountable through release, adoption, and financial impact.
Technical + operating proof
Team leadershipBuilt and lead a five-person AI team
Agent platformsAnthropic · OpenAI · RAG · MCP
Production systemsSwiftUI · Python · GCP · AWS · Firebase
Enterprise enablementWorkflows · training · adoption · analytics
Business buildingP&L · growth · successful acquisition
06Contact / Let's build
Turn AI ambition into products people use, trust, and pay for.
Best fit: Director, Principal, or Lead roles in AI product, platform, transformation, or new products with ownership of strategy, team, implementation, adoption, and business value.