Jobs in the United States

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Added 1 hour ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
Added 2 hours ago
ND
Software & DevOps Engineer
NTT Data Americas, Inc.
Irving, TX
- $55 to $66 USD / hour
…us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply…
Added 2 hours ago
Software Engineer - Applications
Elorian
Palo Alto, CA
- Full-Lifecycle Ownership: A builder mindset with a bias for shipping quickly. Experience as a founding engineer, startup core contributor, or forward-deployed engineer is highly valued.
Added 3 hours ago
Forward Deployed Engineer
Clera
Remote, United States
Added 4 hours ago
TT
Senior Forward Deployed Engineer
True Talent Solutions Partners
Redwood City, CA
- $215,000 to $290,000 USD / year
- At least 5 years of experience in customer-facing technical roles, such as forward deployed engineering, solutions engineering, technical product management, or founding a company.
Added 4 hours ago
Founding Forward Deployed Engineer
Clera
Remote, United States
Join an early-stage AI company serving the consumer packaged goods sector as a Founding Forward Deployed Engineer. You will connect the platform with customers' operations teams, owning…
Added 6 hours ago
Infrastructure Engineer/Architect
Resource Management Concepts, Inc.
Charleston, SC
…and cloud trust brokers is degraded or entirely severed. The engineer will establish resilient Policy Enforcement Points (PEP) and decentralized Policy Decision Points (PDP), architect…
Added 10 hours ago
Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting
EY
New York, NY
Forward Deployed Engineer – Applied AI - Senior Manager - Financial Services
Added 10 hours ago
Forward Deployed Software Engineer US Government
Palantir Technologies
NEW YORK, NY
…disruptions, locate missing children, and more. The RoleForward Deployed Software Engineers (FDSEs) understand our customers' greatest pain points and design end-to-end solutions to address…
Added 10 hours ago
Forward Deployed Software Engineer Warp Speed
Palantir Technologies
NEW YORK, NY
…greatest problems and design and implement solutions using data.As Forward Deployed Software Engineers (FDSEs) you'll apply your problem solving ability, creativity, and technical skills to…
Added 10 hours ago
Forward Deployed Infrastructure Engineer, New Grad US Government
Palantir Technologies
NEW YORK, NY
…locate missing children, and more. The RoleWe're looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable…
Added 10 hours ago
Staff SW Systems Engineer
Extreme Networks, Inc.
Seattle, WA
As a Staff Forward Deployed Engineer, you will be the technical lead for complex customer engagements, owning solutions from discovery and architecture through implementation, deployment,…
Added 11 hours ago
Senior Forward Deployed Engineer, AWS
NTT America, Inc.
Southfield, MI
Added 12 hours ago
Silicon Photonics Design Engineer
Advanced Micro Devices, Inc
UNAVAILABLE, NY
…contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your…
Added 13 hours ago
Staff Solutions Engineer - FDSE - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
Cisco is looking for an accomplished, AI skilled, hands-on, experienced, and visionary Forward Deployed Solution Engineer (FDSE) with post-sales and/or pre-sales experience to leverage AI…
Added 13 hours ago
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
The Cisco Forward Deployed Solutions Engineering (FDSE) team is a high-impact, elite hands-on solutions engineering team that works directly alongside our most strategic US-based defense…
Added 13 hours ago
Software Engineering Technical Leader
Cisco Systems, Inc.
Milpitas, CA
…capabilities across Cisco organizations. Every team member works as a forward-deployed engineer, partnering directly with product teams to solve network and geographic visualization…
Added 15 hours ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
The Cisco Forward Deployed Solutions Engineering (FDSE) team is a high-impact, elite hands-on solutions engineering team that works directly alongside our most strategic US-based defense…
Added 17 hours ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
…commercial healthcare technology products in a collaborative, forward-deployed engineering…
Added 17 hours ago
Forward Deployed Engineer, AI Transformation -Senior Vice President
Citibank, N.A.
United States
We are seeking a highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey,…
Added 17 hours ago
Forward Deployed Engineer, AI Transformation -Senior Vice President
Citibank, N.A.
United States
We are seeking a highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey,…
Added 17 hours ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United…
Added 17 hours ago
Forward Deployed Software Engineer
Jobgether
Remote, United States
…all applications and next steps. Our partner is looking for a Forward Deployed Software Engineer based in the United…
Added 18 hours ago
Sales Enablement and Operations Lead
Lorikeet
Remote, United States
…is growing fast (AEs, a new BDR team, demand gen, and a GTM Engineer), and the systems, processes, and knowledge that got us here were built by founders on the fly. This role exists to turn…
Added 19 hours ago
ConvergeHEALTH Life Sciences - Product Forward Deployed Engineer - Products & Platforms
Deloitte
Boston, MA
As a Product Forward Deployed Engineer (pFDE), this role is the technical engine of the FastForward pre-sales cycle. Working across Product Management, Engineering, Account, and Pursuit…

Snowplow

Forward Deployed Engineer, Applied AI

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 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 and gates, 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 approves, 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

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More about this job

Skills

Python
TypeScript
Go
Workflow
Sales
Active listening
Communication skills

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