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Added 11 mins ago
UG
Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
Assist with testing, evaluation, and monitoring of AI/ML solutions as they move toward production, including output-quality checks, hallucination review, and human-in-the-loop evaluation
Added 15 mins ago
Manufacturing Engineer Lead Senior
International Motors, LLC
Lisle, IL
International Motors is seeking an experienced Manufacturing Engineer Lead Senior. to lead the development, implementation, and continuous improvement of manufacturing processes, assembly…
Added 19 mins ago
UA
Chemical Engineer
U.S. Army Aviation and Missile Command
Chambersburg, PA
- $46,610 to $133,142 USD / year
…chemical and physical properties of the materials used. | Assist production and design engineers in identifying chemicals and processes needed to meet requirements established by customers.…
Added 20 mins ago
RU
Manufacturing Engineer
Randstad USA
Longmont, CO
- $120,000 to $135,000 USD / year
The Role We are seeking a hands-on Manufacturing Engineer to optimize production, drive continuous improvement, and lead New Product Introduction (NPI) across injection molding and…
Added 25 mins ago
Sr Quality Engineer (DoD mfg)
General Dynamics Ordnance & Tactical Systems
Lincoln, NE
Works closely with cross-functional teams, including product design, product management, and production, to identify and mitigate quality risks.
Added 34 mins ago
Head of Engineering
Develop Health
San Francisco Bay Area, CA
- You have become AI-native: You have shipped LLM, agentic, or ML systems to production and understand evaluation, context management, and the difference between a demo and a production…
Added 38 mins ago
CA
AUTOMOTIVE MECHANIC
Customs and Border Protection
Tucson, AZ · Douglas, AZ · Willcox, AZ
- $33 to $38 USD / hour
…must show through experience and training that you possess the quality level of knowledge and skill necessary to perform the duties of the position at the level for which you are applying.…
Added 42 mins ago
Project Engineer
Enerstaff
Elmhurst, IL
Seeking a Project Engineer to manage engineering projects involving electric, hydraulic, and electro-mechanical actuators for industrial applications. This role coordinates with customers,…
Added 43 mins ago
Manufacturing Engineer - cGMP Gene Therapy Production
Encoded Therapeutics
Morrisville
We are seeking a mission-driven Manufacturing Engineer to execute critical production runs across both cGMP and non-cGMP Gene Therapy campaigns. This role offers a unique opportunity to…
Added 49 mins ago
HSE by Design Engineer
Eli Lilly and Company
United States
The Global Facilities Delivery (GFD) Organization, part of Manufacturing & Quality, delivers new and renovated capital assets around the world. Our mission is accomplished through a highly…
Added 57 mins ago
J
Super SWE - AI Factory
Jobgether
Remote, United States
- $200,000 to $275,000 USD / year
We are seeking an exceptional, AI-native software engineer to help build the next generation of autonomous engineering systems. In this role, you will develop an internal AI factory,…
Added 57 mins ago
Senior Software Engineer, Cloud Applications
Jobgether
Remote, United States
As a Senior Software Engineer, Cloud Applications, you will play a critical role in designing and building the cloud infrastructure and backend systems that power a large-scale customer…
Added 1 hour 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 1 hour ago
EI
RF Test & Automation Engineer
Elve Inc
San Francisco, CA
- $85,000 to $150,000 USD / year
This role requires a strong foundation in RF testing combined with the ability to develop and maintain production-quality software. The engineer will translate engineering requirements into…
Added 1 hour ago
EI
Test Engineer
Elve Inc
Davis, CA
- $85,000 to $125,000 USD / year
A Test engineer at Elve is responsible for the characterization of the performance of Elve products and systems, as well as the design, development, deployment of test and quality…
Added 1 hour ago
Controls Engineer
Valknut Automation
Lake Orion, MI
…experienced engineers and leading-edge customers to deliver robust, production-ready automation. Youll be at the centre of projects that directly improve throughput, quality, and safety on…
Added 1 hour ago
Ride & Test / Prototype Engineer
KYB AMERICAS CORPORATION
Franklin, IN
The Design Engineer is responsible for receiving and distributing technical information from the customer and implementing it into Production.
Added 1 hour ago
J
Senior ML Engineer
Jobgether
Remote, United States
- $159,000 to $195,000 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 Senior ML Engineer based in the United States.
Added 1 hour ago
Manufacturing Engineer I - Plant 3
Crown Equipment Corporation
Greencastle, IN
…provides our customers with a local resource for a wide variety of quality material handling equipment, fleet management solutions, warehouse products and support services to meet their…
Added 1 hour ago
Senior Software Engineer - US
IRIS
Remote, United States
As a Senior Software Engineer, you’ll take ownership of significant areas of our products from initial design through to production.
Added 1 hour ago
ES
Senior ATE Test Engineer
Elevate Semiconductor
San Diego, CA
- $125,000 to $180,000 USD / year
This role owns the production test strategy from first silicon through high-volume manufacturing and works closely with Design, Product Engineering, Applications, Quality, Operations, and…
Added 1 hour ago
ES
Senior Staff Applications Engineer
Elevate Semiconductor
San Diego, CA
- $150,000 to $180,000 USD / year
Experience across the silicon lifecycle, from validation, characterization, and design verification through quality and mass production ramp
Added 1 hour ago
ES
Senior Applications Engineer
Elevate Semiconductor
San Diego, CA
- $110,000 to $130,000 USD / year
Applications Engineering is a role that sits between those customers and our Design, Product and Quality engineers. We write the guides customers rely on, build the EVMs and software they…
Added 1 hour ago
ES
Principal Analog Design Engineer
Elevate Semiconductor
San Diego, CA
- $175,000 to $240,000 USD / year
As a Principal Analog Design Engineer at Elevate Semiconductor, you will provide technical leadership while remaining deeply hands-on in architecture and circuit design. You will lead the…
Added 1 hour ago
Principal Engineer, Electrical
Blue Bird Brand
Fort Valley, GA
Reporting to the Senior Director of Electrical Engineering, the Principal Design Engineer, Electrical serves as a technical authority for vehicle electrical/electronic architecture,…

Snowplow

Forward Deployed Engineer, Applied AI

Remote, United States

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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

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