Graham Gnall
Staff Product Manager at Self-employed
City of Beacon, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolGraham Gnall is a Staff Product Manager who helps early-stage B2B teams move faster and more coherently, bringing 12+ years of product leadership across infra, fintech, and AI. He’s a repeat first-product hire who specializes in diagnosing core bottlenecks, aligning cross-functional teams, and creating pragmatic roadmaps that turn ambiguity into high-velocity execution. Notable recent wins include launching Materialize’s self-serve Console, rebuilding Republic’s banking backend during a crisis, and shipping AI-powered workflows that bridge data and user experience. Comfortable scaling both product and teams, he combines hands-on operational delivery with strategic judgment—founders call him in when product is stuck, scattered, or scaling too fast. Based in Beacon, NY, he also advises early-stage startups on MVP scope, hiring, and AI integration, blending startup grit with cross-domain product craft.
6 years of coding experience
13 years of employment as a software developer
Bachelor of Arts - BA American Studies, Bachelor of Arts - BA American Studies at Wesleyan UniversityUser Experience Design, User Experience Design at General AssemblyProduct Leadership, Product Leadership at ReforgeDelbarton School
Github Skills (19)
cdc10
postgresql10
ai-agent10
mysql10
kafka10
distributed-systems10
data-mesh10
sql-server10
sql10
datalayer10
stream-processing10
rust10
streaming10
streaming-data10
database10
Programming languages (2)
Github contributions (4)
ggnall/materialize
Oct 2022 - Oct 2022
The Fastest Way to Build the Fastest Data Products. Build data-intensive applications and services in SQL — without pipelines or caches — using materialized views that are always up-to-date.
Contributions:2 pushes, 2 branches in 1 day
materialized-viewsdatawarehousemysqlsqlfastest
MaterializeInc/materialize
Oct 2022 - Oct 2022
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Contributions:44 reviews, 4 commits, 14 PRs in 1 day
ai-agentdatalayersqlrustdatabase
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