Deployment Architect / Forward Deployed Engineer

We're hiring our first Forward Deployed Engineers. You'll own the path from "first customer call" to "signed contract and live in production" — sitting next to operations leaders, standing up working agents against their data in days, and carrying the deal across the finish line. It's the highest-leverage seat in the building right now.

Champ AI is building AI agents that let businesses scale operations faster, cheaper, and better — so they never have to hire a BPO again.

We're going after the work that's kept legacy industries stuck in the past: document processing, phone calls, and web portal-based processes that armies of offshore teams have been doing for decades. Our browser, document, and voice agents are doing that work now.

The founding team are former engineering leaders from Instacart, where we helped scale the company from Series B through IPO and into a multi-billion-dollar revenue business. We've built systems at massive scale, hired hundreds of people, and saw firsthand how operationally complex businesses struggle with scale.

The category is wide open. Healthcare, logistics, payroll, claims, revenue cycle, freight ops — each of these is a multi-billion-dollar market where the incumbent answer is "hire more people in the Philippines."

We're looking for a Deployment Architect / Forward Deployed Engineer to own the path from "first customer call" to "signed contract and live in production." You'll sit next to our customers, map their messiest workflows, stand up working agents in days (not quarters), and carry deals across the finish line.

This role is the rare combination of technical depth and deal-driving instinct. Your job is to take an interested prospect through the POC stage and turn them into a paying customer. That means configuring real agents against real customer data on Monday, then running the pricing conversation on Friday—and knowing how each one shapes the other. Pure engineers stall in procurement; pure sellers can't get the POC working. You do both.

You're joining at an inflection point. We already have meaningful revenue with paying customers and multiple six-figure deals. The product works. The category is real. What we need now is someone who can take an interested prospect, get them through a working pilot in days — not quarters — and turn them into a paying customer. Then do it again, faster.

This is the highest-leverage role on the team right now. Every pilot you land becomes a product signal, a reference customer, and a revenue line. Every deal you lose tells us what to build next. The company moves at the speed you move at.

If you're technical (or "leaning technical") and want direct, unfiltered exposure to real customers—their pain, their politics, their budgets, their buying process—this is one of the best seats in the building for it. It's also one of the best possible preparations for starting your own company: you'll see how enterprises actually buy, how pilots actually die, and how trust actually gets built.

You'll likely own several of these areas end-to-end:

• Sit in on (and often run) first calls with operations leaders. Translate vague pain into a crisp, scoped workflow we can automate.

• Shadow real operators doing real work—on Zoom, in their tools, in their SOPs—so we build for the job, not the pitch deck.

• Translate what you hear into working demos, POCs, and pilot plans that get champions fired up and skeptics nodding.

• Stand up agents against live customer data and real tools within the first week of a pilot. Speed is the product.

• Configure prompts, tools, evals, and guardrails for each customer's quirks; know when to hand off to product engineering vs. when to solve it yourself.

• Own the pilot success plan: what metric we're moving, what "good" looks like, who on the customer side signs off, and by when.

• Drive deals forward with a sense of urgency. Nudge, don't nag. Create momentum without creating friction.

• Read the room: identify the champion, the economic buyer, the blocker, and the quietly-skeptical engineer. Build a plan for each.

• Own the close: pricing conversations, security review, procurement, redlines. Know which concessions are cheap and which are expensive.

• Write the follow-ups that actually get replied to. Summaries, next steps, mutual action plans—short, specific, dated.

• Be the highest-signal source of customer truth inside the company. Ship back structured, ranked feedback—not anecdotes.

• Partner with engineering on what to harden next: the five things breaking across pilots, not the one thing breaking for one customer.

• Build the reusable pieces: demo environments, pilot templates, onboarding flows, solution patterns. Leverage your own wins.

• Be the face of Champ AI for evaluators. Calm under pressure, credible on technical detail, honest about limitations.

• Turn pilots into multi-team and multi-workflow expansions. The second deal inside an account is where the real business is.

We expect at least 1–2 years of experience in a similar customer-facing, deal-carrying technical role (Forward Deployed Engineer, Deployment Strategist, Solutions Architect, Solutions Engineer, Applied AI, or equivalent). We especially want to hear from:

• Ex-founders. You've built and sold something, even if it didn't fully work. You know what it feels like to own a pipeline.

• Alumni of AI-native companies. You've done this work at places like OpenAI, Anthropic, Scale, Glean, Harvey, Sierra, Decagon, Hebbia, Cresta, Writer, Cognition, or similar. You understand what "good" looks like at an AI-native company—and what doesn't translate.

You have real "in the room with customers" scars. Concretely:

• You've carried pilots or deals from first call to production at a technical startup, or

• You've owned solution engineering that takes a customer through the full technical arc — scoping the POC, standing it up in their environment, debugging in real time, and delivering real results in production.

You likely have:

• Technical range. You can read a codebase, write a Python script, debug an LLM prompt, sketch an integration, and hold your own with a skeptical engineer. You don't need to be the best engineer in the room—you need to be credible, fast, and unafraid.

• Deal instinct. You treat every open deal as a living thing. You know the next step, the risk, and the timeline, and you don't wait to be asked. You push without being pushy.

• Client dynamics fluency. You pick up on who's actually deciding, whose ego is in play, who needs a win, and who's trying to kill the project. You plan around it.

• Urgency as a default. You answer fast, follow up same-day, and treat "Monday" as "Monday morning." You compress cycles everyone else lets drift.

• Systems thinking under ambiguity. You can scope a messy workflow into a two-week pilot and know what to cut. You can tell a demo bug from a product bug.

• Clear writing. Follow-ups, mutual action plans, pilot reports, internal debriefs—short, specific, skimmable.

• You've sold or deployed AI/agent products into operations teams.

• You've done customer-facing work at an early-stage company where there was no playbook and you wrote one.

• You've been close to founders (or plan to be one). You think about GTM, pricing, and positioning without being asked.

• You've worked enterprise procurement/security review and lived to tell the tale.

• You're technical (or leaning technical) and want direct, high-bandwidth exposure to customers now, not in three years.

• You want to see every part of how a company actually gets built: product, sales, pricing, onboarding, expansion.

• You're thinking about starting a company someday (or have already started one). This is the fastest way we know of to learn how enterprises actually buy, and what it takes to earn their trust.

• You get energy from closing things—loops, deals, tickets, conversations.

• High ownership, fast iteration, direct customer feedback loops.

• Strong bias toward shipping + measuring + improving.

• Deal progress is a first-class metric alongside product metrics.

• You'll have meaningful influence on GTM, pricing, product direction, and hiring.

1. 30-min intro + deep dive on a deal or pilot you owned end-to-end (we'll ask about the champion, the blocker, the close, and what you'd do differently).

2. Live solutioning session: we'll give you a real Champ AI customer scenario and walk through how you'd scope the pilot, configure an agent, and run the first two weeks.

3. Written exercise: a short mutual action plan + follow-up email for a stalled deal.

4. Founder chat + Q&A.