Jobs in the United States

25+ jobs

Save this search

Added 26 mins ago
J
Super SWE - AI Factory
Jobgether
Remote, United States
- $200,000 to $275,000 USD / year
Collaborate with forward-deployed engineers, AI researchers, software engineers, and company leadership to prototype, test, and launch innovative product concepts.
Added 30 mins ago
Forward Deployed Engineer, Applied AI
Snowplow
Remote, United States
You are the first Forward Deployed Engineer on the team, reporting to the Senior Director of Applied AI. The team is also hiring a principal engineer to own the platform and an Applied AI…
Added 2 hours ago
Support Engineer, PAYGO
Jobgether
Remote, United States
Interest in developing toward a Forward Deployed Engineer (FDE) or Solutions Architect career path.
Added 5 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
California, CA
- $187,000 to $225,000 USD / year
Join an early-stage cybersecurity team building a platform to secure and control enterprise AI. As a Founding Forward Deployed Engineer, you will work closely with enterprise security and…
Added 5 hours ago
Sr. Forward Deployed Engineer (FDE)
PVM, Inc.
Arlington, VA
As a Senior Forward Deployed Engineer (FDE), you will contribute directly to the development and delivery of Army Vantage capabilities. You will build analytical dashboard features, support…
Added 5 hours ago
Forward Deployed Engineer (FDE)
PVM, Inc.
Arlington, VA
PVM is hiring a Senior Forward Deployed Engineer to serve as a technical lead for Southern California Edison's environments in Palantir Foundry. These systems support wildfire mitigation,…
Added 7 hours ago
O
Member of Technical Staff, Forward Deployed Engineer
Odyssey
Palo Alto, CA
- $164,800 to $508,000 USD / year
We’re hiring Forward Deployed Engineers to bring Odyssey’s world models into high-impact, real-world environments.
Added 7 hours ago
Senior Data Engineer - Clearance Required
LMI
United States
Travel up to 50% for user engagement, deployment support, and forward deployed delivery.
Added 9 hours ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 11 hours ago
Forward Deployed Integrations Engineer
Coursedog
Remote, United States
As a Forward Deployed Integrations Engineer at Coursedog, you'll embed directly with our most strategic customers to own their SIS integration from start to finish, working closely with…
Added 11 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Two to five years of experience in forward deployed engineering, data science, or customer-facing software engineering.
Added 16 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Prior experience as an early engineer, founder or technical leader at a fast-growing startup.
Added 16 hours ago
TT
Forward Deployed Strategist
True Talent Solutions Partners
San Francisco or New York City
- $160,000 to $250,000 USD / year
- Strong project delivery and operational skills, with the ability to assess technical implementations and work effectively with engineers without needing to be an engineer.
Added 18 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Five to eight years of experience in forward deployed engineering, applied AI, technical consulting, or a similar hands-on delivery role.
Added 18 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 19 hours ago
Forward Deployed Engineer
Clera
Remote, United States
- Experience in forward-deployed engineering, solutions architecture, deployment strategy, or customer-facing data and AI delivery.
Added 19 hours ago
Forward Deployed Software Engineer, Internship US Government
Palantir Technologies
NEW YORK, NY
…disruptions, locate missing children, and more. The RoleForward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and…
Added 20 hours ago
O
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Oracle
Reston, VA · Washington, DC
- $118,700 to $194,400 USD / year
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Added 21 hours ago
Forward Deployed Engineer (AI Integration + Design) - Gen AI & Voice AI - US
Blue Machines AI
NY · New York, NY
As a Forward Deployed Engineer, you’ll design, build, and support integrations between the Blue Machines platform and client systems. You’ll work across APIs, cloud services, and AI…
Added 1 day ago
SA
Senior Forward Deployed Engineer
Sinch America Inc.
Denver, CO
- $155,000 to $186,000 USD / year
We are hiring a Forward Deployed Engineer to make those integrations work in the real world. You will embed with customer engineering and operations teams, use modern AI development tools…
Added 1 day ago
M
Senior Software Engineering
Microsoft
United States
- $119,800 to $261,000 USD / year
We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve…
Added 1 day ago
M
Senior AI Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
…organizational context, and complete complex workflows. As a Senior AI Engineer on the Microsoft Office AI team, you will bring these experiences to hundreds of millions of…
Added 1 day ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
As a Forward Deployed Engineer, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering…
Added 1 day ago
Senior Solution Engineer - North America
FlowFuse
Remote, United States
We’re hiring an experienced forward deployed engineer to work across the full customer lifecycle, from pre-sales discovery and demos to hands-on customer delivery and long-term solution…
Added 1 day ago
Senior Solution Engineer - EU & UK
FlowFuse
San Francisco, CA
We’re hiring an experienced forward deployed engineer to work across the full customer lifecycle, from pre-sales discovery and demos to hands-on customer delivery and long-term solution…

Snowplow

Forward Deployed Engineer, Applied AI

Remote, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 9, 2026

Original job description

About Snowplow

Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.

More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.

This Opportunity

Snowplow is rebuilding how the company runs its own work. AI-native transformation is the operating priority for the business, and the Applied AI team owns it: the platform every team's AI work runs on, the pattern for how a function's critical workflows move onto agents, and the measurement of whether it worked. Individual AI adoption is already high across the company. The next stage is redesigning functions so that agents run the recurring work and people set the goals and judge the output.

You are the first Forward Deployed Engineer on the team, reporting to the Senior Director of Applied AI. The team is also hiring a principal engineer to own the platform and an Applied AI engineer to embed with our Growth team. The Senior Director you report to still ships code. You are the one who moves between functions. You embed with one function at a time alongside its leader and the people who do the work by hand today, map how the work actually runs, build the agentic workflow that takes it on, tune it with the experts until they trust it, and hand it back to the function to own. Then you move to the next one.

You sit with our major business functions, one at a time. The Senior Director of Applied AI and the function's leader choose each engagement, and your workflow maps are the evidence they choose from. Priorities will shift as the transformation moves, and the role is designed for that.

This is the forward deployed model applied inside our own company. You write the code, and you also do the discovery a consultant would. The function's leader owns the decision to change how their team works. You own the engineering and the pattern. You'll spend as much time listening to someone walk through a task they do by hand every week as you will writing the agents that run it, and the deliverable is a function that works differently, understands why, and can run what you built.

What you will own

The workflow map. You sit with the people who do the work and leave with how it actually runs today: where work enters, what moves between steps, who says yes, and what "good" means. It is the first thing you do in every engagement.
The case for whether to build. Before anything gets built, you bring the evidence from the map and make the case for whether the workflow is worth moving onto agents, including when the answer is that it does not need AI. The decision sits with the function's leader and the Senior Director; the evidence is yours.
The build. You design and build agentic workflows on Snowplow's shared factory framework, which Applied AI runs: declared queues, holdback gates (the agent's write does not land until the ledger carries the approval), focused agents, and a central ledger that records every agent run. Every factory you build is compatible with every other one, in any function.
Approval gates. You decide where the agent acts on its own, where it proposes and a person clears the holdback, and what gets recorded so anyone can see what the agent did and why. The people in the function keep the judgment. The agents take the rest.
Agent readiness. You make the function's knowledge, systems of record, and quality bar explicit enough for agents to work from. Often this is the real work, and the agents are the easy part.
The last twenty percent. Most of the work comes after the prototype: reliability, edge cases, evaluation, and a team choosing it over the way they worked before. You tune the output alongside the domain experts and encode their judgment into checks that hold after they step back.
The handoff. You train the function to run and evolve what you built, then leave. Where an Applied AI engineer is embedded in the function, you hand it to them. Success is a workflow still running months after you have moved on, owned by people who are not you. After the handoff you stay available: when the function sees a problem or a way to improve the workflow, you coordinate it with the embedded and platform engineers rather than taking it back, and you help build the platform those workflows run on.
The pattern itself. You own how a workflow moves from map to agents to handoff, written down so the next engagement starts from it. What you build also goes back into the shared framework as reference implementations. The second factory in any function should be cheaper than the first.

We would love to hear from you if you have

Shipped real software in someone else's stack. You are comfortable being dropped into an unfamiliar codebase, dataset, or business system and productive in it fast. You are fluent in at least one of Python, TypeScript, or Go, and you pick up the others as the work needs them.
Built with LLMs in production. You have designed agents or agentic workflows that run real work, with prompts, tools, evaluation, and the failure modes that come with them. You know the difference between a demo and something a team relies on every day, and you have done the unglamorous work of closing that gap.
An AI-native way of working you can show us. A workflow, automation, or agent you built and still use. Expect to demonstrate it during the interview process.
Sat with non-engineers and understood their work. You can spend a day with a sales, marketing, or customer team and come back with the actual process, including the parts nobody wrote down. Active listening matters here as much as the stack.
Self-direction and comfort with ambiguity. Engagements are time-boxed, functions differ, and the next one is decided by the business. You plan your own work inside an engagement and stay steady when the business changes what comes next.
The instinct to hand off. You would rather install a capability that keeps producing without you than become the person a team depends on.
Low ego. You retire your own work when a better approach shows up, including one a teammate built. Models and tools change fast, and last quarter's build may need replacing.
Clear communication with senior stakeholders. You can explain to a function leader what changes for their team, in their language, and hold your ground on the pattern when it matters.
A track record you can talk through. You have worked in a forward deployed, solutions engineering, internal tools, or consulting engineering role, or you have transformed a process end to end inside a company you worked for.

How we hire for this role

The interview process includes a working session where you walk us through how you work with AI on a real task, using your own setup. We work this way ourselves, and you are welcome to use AI when applying.

What you get in return for being awesome

Meaningful equity stake
Competitive Base Salary
Flexible working
Generous PTO
Medical, Dental & Vision Insurance
401k
MacBook and home office equipment allowance
Enhanced Family leave

Apply About employer

Report this job