Edward Federbush

AI Product Engineer·Three Startups, Two Acquisitions

I've been building software products since 2001, from first engineering hire under the founding CTO at GLG through co-founding two acquired startups. Today I build AI into the center of a product: an assistant that runs a real business from first call to paid invoice, with every model chosen by measurement and evals behind every change. The through-line: I build directly with the people using the product — from teams inside Fortune 500 companies to small field-service operators.

Experience

Wipjet

AI-Native Field-Service Platform

Founding Engineer · 2025 – Present

A multi-tenant platform that runs a home-service business from first call to paid invoice, with one AI assistant that follows the work the whole way. The founding-pilot phase is complete, and the company is moving into go-to-market.

One assistant across the lifecycle: it takes the inquiry, drafts and sends the estimate from the shop's own rates, answers questions over live schedule, parts, and invoice data, and drafts the invoice — a human confirming anything that touches money or a customer.
Tools designed for a model, exposed in the app and through a remote MCP server, so an owner can run the business from Claude; tenant isolation by Postgres row-level security under every tool call.
Each model chosen per task from head-to-head bakeoffs; evals gating every prompt and model change, including a 59-case prompt-injection suite; every call traced and attributed per business.

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Independent

Product Engineering & Consulting · 2021 – Present

Founder, UserBuilders · 2026 – Present

A small software studio for publicly funded programs. UserBuilders gives nonprofits, local agencies, and research teams the software they need to build a program, run it, and report on its results.

Product Experience Consultant, Capital One · 2021 – 2022

Consulting engagement: brought in by the head of a new unit to research and design its first product, a co-brand credit product for direct-to-consumer e-commerce merchants; the work grew into designing an enterprise-wide platform to host it.
More than 40 hours of interviews with merchants and consumers, competitive research, and rounds of prototypes, through handoff to internal engineering in a large regulated enterprise.

Docurated

Acquired by Quark Software (2018)

Co-Founder & Full-Stack Product Engineer · 2012–2018

Co-founded SaaS platform for enterprise sales enablement (TechCrunch Disrupt finalist); led product experience and engineering from inception through acquisition, building across desktop, mobile, and embedded Salesforce apps.
Partnered directly with Fortune 500 clients (Netflix, J.P. Morgan, IBM) on custom implementations and white-labeled workflows.

After the acquisition, took a planned break (2018–2021) following two back-to-back startups.

Private Screening Platform

Awards Voting & Festival Screenings

Founder & Engineer · 2011–2013

Built and ran a secure video screening platform used by 6,000+ Academy members for Oscar voting and 100,000+ SAG members for SAG Awards voting, plus studio screenings at Sundance and Cannes. Wound down to focus on Docurated full-time.

Boliven

Acquired by Cambridge IP (2011)

Founding Member & Full-Stack Product Engineer · 2008–2011

Employee #4 at this GLG-alumni-founded startup, which built a visual search and analytics platform over more than 100 million patents, journal articles, and press releases. Full-stack Rails role from early product through acquisition.

Gerson Lehrman Group (GLG)

Enterprise Expert Network

Engineer → Director of Product Design · 2001–2008

Founding CTO's first engineering hire at what became the world's largest expert network. Early work was full-stack, building the early product as half of a two-person team.
Transitioned to product leadership through the company's hyper-growth, building and leading a ten-person cross-functional team of designers, UX engineers, and researchers.

Education

Boston University — BA, Philosophy

Technical Skills

AI Engineering

Agentic systems with multi-step tool calling, structured output, and human-in-the-loop confirmation; tool design for models and remote MCP servers with OAuth; agent skills. Evals — golden sets, behavior evals against seeded data, LLM-as-judge with calibration, model bakeoffs on quality, latency, and cost. Prompt-injection defense and adversarial testing. Per-task model routing through an AI gateway. LLM observability — distributed tracing, per-tenant cost attribution, prompt caching. Voice AI, multimodal vision and image generation, streaming and generative UI. Vercel AI SDK, Model Context Protocol, Langfuse, OpenTelemetry, Retell.ai.

AI-Native Delivery

Spec-driven development with coding agents, agent orchestration and dispatch, verification designed around agent failure modes, failure-ledger feedback loops.

Full-Stack Product Engineering

React 19, Next.js 16 (App Router), TypeScript, Node.js, Ruby on Rails, Tailwind, Postgres with row-level security, Drizzle ORM, Neon, multi-tenant SaaS architecture, offline-capable PWAs, REST APIs, Chrome Extensions.

Product & UX

End-to-end product discovery and prototyping, user research and interviewing, journey mapping, wireframing, design systems, UX/UI, WCAG/ADA compliance.

Infrastructure & Delivery

Vercel, AWS (S3, SES), GitHub Actions, Playwright end-to-end testing, Stripe (payments, subscriptions, webhooks), QuickBooks Online, Clerk auth, Resend.