Isaiah Pegues
I'm Isaiah Pegues
I'm Isaiah Pegues
With 10 years of experience, I build AI-powered products, automate workflows, and turn complex problems into simple, scalable solutions.
a product
builder
a product
builder
who solves big problems
who solves big problems
Featured work
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About
Forward Deployed AI PM.
I embed with Fortune 500 companies, translate C-suite ambiguity into production-ready agentic systems, and stay in the room until KPIs move. $35M+ TCV · 15 enterprise AI deployments · 5 sectors · 6 months.
Clients include GM Financial, Fiserv, Dun & Bradstreet, and CBRE. Every engagement started with a direct conversation with the CIO — not a requirements doc. Then I delivered.
Goldman Sachs → S&P Global → Atlassian Marketplace (2.5M users) → Wercflow (founder, 20K users) → Unframe AI → what’s next?
Forward Deployed AI PM.
I embed with Fortune 500 companies, translate C-suite ambiguity into production-ready agentic systems, and stay in the room until KPIs move. $35M+ TCV · 15 enterprise AI deployments · 5 sectors · 6 months.
Clients include GM Financial, Fiserv, Dun & Bradstreet, and CBRE. Every engagement started with a direct conversation with the CIO — not a requirements doc. Then I delivered.
Goldman Sachs → S&P Global → Atlassian Marketplace (2.5M users) → Wercflow (founder, 20K users) → Unframe AI → what’s next?
Experience
I’ve built products alongside startups, agencies, and enterprise partners—and plenty of times, I’ve been the one wearing all the hats. I enjoy collaborating with teams that value not just good design, but smart systems, clear product thinking, and the kind of automation that makes work feel effortless.
Unframe
Forward Deployed AI PM
2026
Pegues Innovations
Solutions Architect
2025
Wercflow
Head of Product
2022 - 2025
resolution
Sr. Product Manager
2018 - 2021
Glossom
Product Lead
2017 - 2019
Martin T.
Product Lead
2017 - 2019
S&P Capital IQ
Business Analyst
2015 - 2016
Goldman Sachs
Analyst
2013 - 2015
Services
Embedded in Fortune 500 AI deployments — discovery through production. I own the outcomes, not just the roadmap.
Enterprise AI Deployment
Embedding agentic systems into Fortune 500 infrastructure — from CIO scoping call to production in 3–15 days. RAG, multi-agent orchestration, and legacy system integration without a rip-and-replace.
Enterprise AI Deployment
Embedding agentic systems into Fortune 500 infrastructure — from CIO scoping call to production in 3–15 days. RAG, multi-agent orchestration, and legacy system integration without a rip-and-replace.
Enterprise AI Deployment
Embedding agentic systems into Fortune 500 infrastructure — from CIO scoping call to production in 3–15 days. RAG, multi-agent orchestration, and legacy system integration without a rip-and-replace.
Embedded Discovery & Scoping
CIO-level conversations that compress 6-month POC cycles into days. Every engagement starts with a KPI, not a backlog — and ends with a signed order form.
Embedded Discovery & Scoping
CIO-level conversations that compress 6-month POC cycles into days. Every engagement starts with a KPI, not a backlog — and ends with a signed order form.
Embedded Discovery & Scoping
CIO-level conversations that compress 6-month POC cycles into days. Every engagement starts with a KPI, not a backlog — and ends with a signed order form.
Enterprise AI Architecture
Multi-agent systems on top of legacy infrastructure across financial services, manufacturing, and commercial real estate. Configure and connect — not rebuild and replace.
Enterprise AI Architecture
Multi-agent systems on top of legacy infrastructure across financial services, manufacturing, and commercial real estate. Configure and connect — not rebuild and replace.
Enterprise AI Architecture
Multi-agent systems on top of legacy infrastructure across financial services, manufacturing, and commercial real estate. Configure and connect — not rebuild and replace.
Agent Lifecycle Automation
Compounding context across deployments: every connector, schema, and routing pattern built for use case 1 carries forward. 96% of clients expanded to additional use cases.
Agent Lifecycle Automation
Compounding context across deployments: every connector, schema, and routing pattern built for use case 1 carries forward. 96% of clients expanded to additional use cases.
Agent Lifecycle Automation
Compounding context across deployments: every connector, schema, and routing pattern built for use case 1 carries forward. 96% of clients expanded to additional use cases.
