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Added 3 mins ago
Principal Engineer Software (Idira IGA)
Palo Alto Networks
Needham Heights, MA
We are seeking a Principal Engineer Software to lead the technical evolution of our Identity Governance & Administration (IGA) platform. This is a role for a deeply technical, hands-on…
Added 3 mins ago
Principal Engineer Software (IGA platform)
Palo Alto Networks
Needham Heights, MA
We are seeking a Principal Engineer Software to lead the technical evolution of our Identity Governance & Administration (IGA) platform. This is a role for a deeply technical, hands-on…
Added 4 mins ago
Senior Data Technology Consultant, Databricks Data & AI Practice
EPAM Systems
Boston, MA
Architect Databricks Solutions: Design Lakehouse architectures and AI solutions on Databricks. This covers Delta Lake, Unity Catalog governance, Lakeflow/Delta Live Tables pipelines,…
Added 4 mins ago
Python AI Engineer
EPAM Systems
Boston, MA
We are hiring a Python AI Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform as it transitions from a Confluence-focused RAG chatbot into a…
Added 38 mins ago
Senior AI/ML Engineer - LLM & Agent Stack (Customer Facing)
TrueFoundry
NY · San Mateo, CA
We are looking for a Senior AI/ML Engineer - LLM & Agent Stack (Customer-Facing) to join the team.
Added 59 mins ago
O
Pursuit Manager - Federal
Oracle
Jefferson City, MO
- $21.3 to $33.22 USD / hour
+ Coordinate with the Account Executive, Solution Architect, and Product team to develop win themes and success criteria for upcoming task order modifications and renewals.
Added 1 hour ago
Founder, AI Insurance
Forum Ventures
Remote, United States
- Proof of review for professionals: per-matter records proving a licensed lawyer, accountant, engineer, or architect reviewed the AI's work, packaged so coverage holds at renewal
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Cloud Solution Engineer (Genomics & AI)
Oracle
Jefferson City, MO
The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics…
Added 1 hour ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
Added 1 hour ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
Added 2 hours ago
Senior Product Manager, Product Systems
Agoda
Chicago, IL
Bring clarity to messy problems. Define the problem sharply, then co-architect the solution with AI.
Added 2 hours ago
Senior Staff / Senior Algorithm Engineer (Clearance Required)
Scitec, Inc.
Dayton, OH
…Resource Management algorithms based on mission requirements - Architect and develop end to end processing pipelines, from raw data ingest through processing chains, feature extraction,…
Added 2 hours ago
Full Stack Engineer
2060 Digital LLC
Cincinnati, OH
Added 2 hours ago
J
Full-Stack Platform Engineer
Jobgether
Remote, United States
- $190,000 to $215,000 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 Full-Stack Platform Engineer based in the United States.
Added 3 hours ago
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Solution Architect, AI Business Solutions and Agents
Microsoft
United States
- $124,500 to $231,700 USD / year
…funded, production-scale transformation? Are you the kind of architect who can whiteboard a business process with an executive in the morning and build and deploy a working agent in Azure…
Added 3 hours ago
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Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
Architect, design, and guide implementation of secure, scalable, resilient, high-performance distributed systems; set engineering standards and drive design/code quality through reviews,…
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Senior Solution Engineer - Security
Microsoft
United States
- $106,400 to $222,600 USD / year
…customers safe through our Security Solutions. The Solution Engineer team within the Microsoft Elevate organization is at the forefront of this effort, engaging directly with customers to…
Added 3 hours ago
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Solution Engineer - Cloud & AI Applications
Microsoft
ON, CA
- $128,000 to $222,400 CAD / year
As a Solution Engineer – Cloud & AI Applications, you’ll play a pivotal role in helping customers unlock the full potential of AI. You’ll guide them in understanding the art of the…
Added 3 hours ago
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Cloud & AI Solution Engineer - Azure Platform
Microsoft
ON, CA
- $96,000 to $177,600 CAD / year
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 3 hours ago
Software Engineering Lead and Application Architect - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
CSSLP, Azure Solutions Architect Expert, DevOps Engineer Expert, and relevant architecture/agile/SAFe credentials
Added 3 hours ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
…management, and workload hosting patterns under the Principal Cloud Architect's…
Added 3 hours ago
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Principal Software Engineer - Observability
Snowflake
Menlo Park, CA
- $264,000 to $379,500 USD / year
…We’re looking for a hands-on, product-minded Principal Software Engineer I to help build an AI-driven observability platform, combining deep distributed-systems engineering with a strong…
Added 3 hours ago
Partner Technical Lead - Insight
NetApp
Phoenix, AZ
5+ years of experience working with and enabling channel partners in a technical capacity, such as a Channel Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Enablement…
Added 4 hours ago
Sr. Software Technical Support Manager
Jobgether
Remote, United States
Added 4 hours ago
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Lead Principal Platform Software Engineer
Oracle
Nashville, TN
- $113,600 to $306,400 USD / year
We are seeking a Lead Principal Software Engineer to set long-term technical direction for the Robotics Automation Platform. You will lead architecture and technical delivery across…

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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