This page is optimized for printing. Cmd+P (or Ctrl+P) to save as PDF.
← Back to AI Success application

Jesse Peplinski

AI success engineer for enterprise adoption
Syracuse, NY peplinski.jesse@gmail.com (315) 409-3514 LinkedIn GitHub X/Twitter jessepeplinski.com/openai-ai-success-engineer
Summary

AI Success Engineer candidate with 8+ years of enterprise software engineering, hands-on Codex and Claude Code/Opus usage, technical enablement experience, and founder/operator product work. I can help customers map workflows, validate use cases, plan deployments, define KPIs, manage adoption, and turn OpenAI's platform into measurable business value across technical and executive stakeholders.

Experience
Senior Software Engineer July 2017 — Present
Equitable · Syracuse, NY
Partner 2017 — Present
Hack Upstate LLC · Syracuse, NY
Selected AI/Product Work
Vibe Storefront (April 2026 · MVP live within 4h · Next.js, OpenAI, Supabase/Postgres, Clerk, Codex) — Solo-built AI product-validation app that turns plain-English ideas into positioning, copy, imagery, public share pages, and a live gallery.
Gridiron Rumble (March 2026 · ~1 month · Godot, Astro, Claude Code) — Solo-built 2D arcade football game with game engine, Astro marketing site, playable web build, and iOS TestFlight release while learning a new domain fast.
TryLaunchLoop (May 2026 · MVP in three weeks · Next.js, Convex, Vercel, Stripe, Resend, Codex) — Built in public on Twitch; turns commit logs and product progress into launch posts while demonstrating AI-assisted product adoption and distribution.
TrySignalHire (May 2026 · solo-built MVP in progress · Next.js, OpenAI, Supabase/Postgres, Clerk, Vercel, Codex) — AI-mediated hiring product where candidate work becomes sourced claims and company jobs become evidence signals for human review.
PortDeck (June 2026 · TypeScript, Swift, Astro, Docker, macOS, Codex) — AI-native local runtime dashboard for Mac that organizes ports, local services, Docker containers, Git repos, worktrees, and health signals.
Education
B.S. Computer Science, Mathematics Minor 2015 — 2017
SUNY Potsdam
Technical Skills
AI Platforms
Codex, Claude Code/Opus, OpenAI API, ChatGPT Enterprise concepts, MCP, RAG, embeddings, tool calling, structured outputs
Customer Success
Post-sales deployment, account health, adoption velocity, value realization, KPI definition, technical readiness
Enablement
Workshops, technical training, champion building, workflow mapping, use-case validation, executive and technical stakeholder communication
Languages
JavaScript/TypeScript, Node.js, Python, Java, HTML/CSS
Platforms
Convex, Supabase/Postgres, Clerk, Vercel, Azure DevOps, Git/GitHub, CI/CD, containers, REST APIs, SDKs, GraphQL
Enterprise
SSO concepts, domain verification, encryption, compliance frameworks, change management, regulated environments
CMS / Apps
Adobe AEM, HTL, Sitecore, React, Next.js, Astro, Spring Boot, Tailwind CSS