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Tax Preparer/Reviewer
Magnetic
Remote, United States
- $50 to $85 USD / hour
…of returns with near zero busy work. Patrick was the first engineer at FunCraft, shipping multiple mobile games with 1M+ downloads and building scalable shared codebases. We've worked…
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Founding Tax Expert
Magnetic
San Francisco, CA
- $120,000 to $200,000 USD / year
…of returns with near zero busy work. Patrick was the first engineer at FunCraft, shipping multiple mobile games with 1M+ downloads and building scalable shared codebases. We've worked…
Added just now
Senior Full-Stack Engineer
Matter Formula
New York City, NY · Miami, FL
We're looking for a senior full-stack engineer to help build the Matter consumer app: our AI nutrition coach, tracking and personalization features, and the ordering experience that…
Added 1 min ago
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Head of Frontend Engineering
Mobena
Remote, United States
- $180,000 to $220,000 USD / year
Grow the team when it is time: Help decide when the next frontend engineer is hired and who to hire.
Added 1 min ago
Frontend Engineer (React/NextJS, Git, Responsive Design)
NextAlpha (Nu Dawn)
Remote, United States
Position Overview: We’re hiring a Frontend Engineer to design and implement a scalable, high-performance user interface for an innovative platform.
Added 1 min ago
Founding Engineer
Petra Labs
New York City, NY
Added 1 min ago
Research Engineer, Audio Models
Primelabs
Palo Alto, CA
As a Research Engineer at Prime Labs, you'll build the systems that turn millions of hours of real lessons into audio models that teach. You'll train and iterate on models across our audio…
Added 2 mins ago
Control Systems Engineer
Hypothesis.run
Davis, CA · San Francisco, CA
Hypothesis is seeking a skilled and experienced Control Systems Engineer to join our team. You will be a crucial member of our mission to unlock biology at scale, focusing on the design,…
Added 2 mins ago
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Fullstack Engineer
Sidecar Legal
San Francisco, CA
- $80,000 to $140,000 USD / year
We’re hiring a full stack engineer in SF to join our founding team, building products + features as we roll out our product to our first design partners. We are flexible on leveling, so…
Added 2 mins ago
Senior Principal Software Engineer (Python) – Founding Engineer - Seattle
Solvin AI
WA · Seattle, WA
As a Founding Engineer, you will be a cornerstone of our technical team. You will have a pivotal role in designing, building, and deploying the foundational elements of our product. We're…
Added 3 mins ago
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Founding Engineer
Tally HQ
San Francisco, CA
- $150,000 to $200,000 USD / year
As Founding Full-stack Engineer at Tally, you’ll play a crucial role in building the initial product experience and APIs, agentic systems, and internal tools to transform a massive tax and…
Added 3 mins ago
TA
Founding Engineer
Tenzo AI
San Francisco, CA
- $150,000 to $225,000 USD / year
As a Founding Software Engineer at Tenzo AI, you'll play a pivotal role in shaping the future of our agents. You will be tasked with building foundational parts of our technology and your…
Added 3 mins ago
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AI Data Engineer
Ladders Inc
New York City, NY
- $175,000 to $300,000 USD / year
Added 4 mins ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
When an operational edge case occurs for a client, you resolve it immediately and engineer safeguards so it cannot happen again. When an operator executes the same workflow manually for the…
Added 4 mins ago
CA
Founding Engineer
Cascade AI
New York City, NY
- $150,000 to $250,000 USD / year
We’re looking for a Founding Engineer who will:
Added 4 mins ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 4 mins ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 5 mins ago
AI Engineer
The Agency Fund
Remote, United States
…better data use. We are now looking for a seasoned software engineer to join our team (as a contract role), contributing expertise while building with our partner…
Added 6 mins ago
Founding Engineer, Agentic Systems
Champ AI
San Francisco, CA
We're looking for a Founding Engineer (Agentic Systems) to own core pieces of our agent runtime and developer/product surface area. You'll build the systems that let agents operate safely,…
Added 6 mins ago
Deployment Architect / Forward Deployed Engineer
Champ AI
San Francisco, CA
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…
Added 6 mins ago
Junior Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Junior Fullstack Engineer, you'll contribute to our next-generation healthcare recommendation platform while learning from experienced engineers. You'll work across the technology…
Added 6 mins ago
Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Fullstack Engineer, you'll own the complete technology stack of our next-generation healthcare recommendation platform. You'll build everything from elegant frontends to robust…
Added 6 mins ago
Senior/Staff/Principal Software Engineer
Ease Health
New York City, NY
Senior/Staff/Principal Software Engineer - Ease Health
Added 6 mins ago
Frontend Software Engineer
Ease Health
New York City, NY
Added 7 mins ago
Founding Engineer - LLM
Aida
Palo Alto, CA
We are seeking a passionate Software Engineer with a focus on Large Language Models (LLM) to join our team in Palo Alto, CA. As a Founding Engineer, you will play a pivotal role in shaping…

Champ AI

Deployment Architect / Forward Deployed Engineer

San Francisco, CA, United States

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Job details

Posting language: English

Original job description

The short version 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. About Champ AI 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." The Role 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. What You'll Do

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

Customer discovery + solutioning

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.

Pilot delivery + deployment

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.

Deal execution

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.

Product feedback loop

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.

Trust + expansion

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.

What We're Looking For 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.

Bonus points

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.

Why This Role Is A Great Fit If…

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.

How We Work

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.

Interview Process (example)

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).
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.
Written exercise: a short mutual action plan + follow-up email for a stalled deal.
Founder chat + Q&A.

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More about this job

Skills

Procurement
Workflow
Zoom
Onboarding
Debugging
Python
Systems thinking
Sales

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