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Associate or Mid-Level AI/ML Engineer, Onsite in Boulder
Technical Integrity
Boulder, CO
We are looking for an entry- or mid-level engineer with hands-on skills in machine learning, cloud infrastructure, and software development to help build AI capabilities for satellite…
Added 1 min ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 1 min ago
VP
Founding Engineer
Valent Procure
New York, NY
- $170,000 to $220,000 USD / year
Valent connects supplier intelligence, market requirements, and operations in one platform. We map every material to its supplier, manufacturing site, and country of origin down to the…
Added 3 mins ago
HPC & MLOps Engineer
C-Gen.AI
Mountain View, CA
As an HPC & MLOps Engineer, you will be a foundational member of our Data Center team - integral to the design, deployment, and maintenance of high-performance computing (HPC) and MLOps…
Added 4 mins ago
EA
Senior Product Engineer (India)
Elm AI
Remote, United States
- ₹3,500,000 to ₹7,000,000 INR / year
At Elm AI, we’re rebuilding supplier operations for an agent-first world.
Added 4 mins ago
E
Founding Product Engineer
Emerge
New York City, NY
- $120,000 to $200,000 USD / year
We call this a Founding Engineer role - even three years in and with multiple contracts under our belt - for two reasons. First, you’ll be our very first engineer, joining our co-founder,…
Added 4 mins ago
E
Founding Product Designer
Emerge
New York, NY
- $120,000 to $200,000 USD / year
…our belt, for two reasons. First, you'll be our very first engineer, joining our co-founder, who's built the entire platform solo to date. Second, our growth is now outpacing our systems,…
Added 4 mins ago
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Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Have partnered closely with Healthcare Providers, Clinical Operations teams, or Healthcare Organizations.
Added 10 mins ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
…and automation infrastructure, paired with hands-on digital operations that turn operational data into measurable…
Added 10 mins ago
AI Engineer
The Agency Fund
Remote, United States
We have built and commercialized tech platforms that optimize NGO operations and strengthen their ability to learn and adapt through experimentation, automation, and better data use. We are…
Added 11 mins ago
Deployment Architect / Forward Deployed Engineer
Champ AI
San Francisco, CA
…"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…
Added 15 mins ago
Systems and Operations Intern
Sigma Growth Specialists
Remote, United States
We are looking for a Systems & Operations Intern who doesn’t just want to "file paperwork." We are looking for a systems thinker who wants to help us engineer a world-class employee…
Added 15 mins ago
WO
AI Manager
Well-Oiled Operations
Remote, United States
- $90,000 to $100,000 USD / year
We're looking for an AI Solutions Engineer to design and build practical AI-powered tools that solve real operational problems inside Well Oiled Operations (WOO) - dashboards, internal…
Added 15 mins ago
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CTO (Co-founder)
Straffing AI
New York, NY
- $141,000 to $150,000 USD / year
We are supporting a funded early-stage startup building an AI-powered platform focused on transforming healthcare payment and revenue-cycle operations.
Added 16 mins ago
AM
Software Engineer, AI & Automation
Ace Marketing Services, Inc.
Winter Park, FL
- $55 to $65 USD / hour
We are hiring a Software Engineer, AI & Automation to work alongside Stephan and build, improve, and support the software that runs Ace's internal operations.
Added 21 mins ago
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Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $165,600 to $331,200 USD / year
We are hiring a Principal Software Development Engineer to join the Azure PostgreSQL team, where you will work on and drive innovations in one or more areas of a relational database…
Added 21 mins ago
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Software Engineer, Teamwork Experiences Internship Opportunities
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
…of products while also driving consistency in monitoring and operations at…
Added 23 mins ago
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Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
…CoreServices Fault Domain Islands, and Dynamics 365 Finance and Operations. The broader foundation supports Dynamics 365, Power Platform, and a growing set of Copilot and agent workloads.…
Added 23 mins ago
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Principal Software Engineer
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WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $142,800 to $304,200 USD / year
…of products while also driving consistency in monitoring and operations at scale and share knowledge with other…
Added 45 mins ago
GCP Data engineer with Dataproc + Big Table
VDart Inc
The Bronx, NY
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Added 46 mins ago
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Data Engineer 3
Jobgether
Remote, United States
- $95,000 to $120,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer 3 based in the United States.
Added 48 mins ago
Machine Learning Engineer
Pattern AI
Remote, United States
We’re seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing &…
Added 48 mins ago
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AI Backend Engineer, Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $140,000 to $200,000 USD / year
- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
Added 50 mins ago
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Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
Join a small, high-impact team building AI-powered tools for commercial operations in chemical and industrial manufacturing. You will develop production-ready agents that automate complex…
Added 52 mins ago
Technical Marketing Engineer and Writer
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…hardware from a wide selection of vendors, and fully automated operations with your existing…

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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