Forward Deployed Engineer

Submittd Talent; United States; Remote; USD 225,000 - 250,000; Full time

Job summary

Submittd Talent is hiring a Forward Deployed Engineer to own how clients bring data onto the platform and maximize value. This customer‑facing role focuses on outcomes, not just tech, with hands-on data integration, validation and automation across SQL, Python and ETL.

You’ll lead complex data ingestions, build backcasting models, and collaborate with enterprise brands to deliver end-to-end solutions, often working remotely within US time zones.

Qualifications

• 5–10 years in a technical, client-facing role such as forward deployed engineering.
• Experience ingesting and modeling messy data with evolving schemas.
• Strong SQL, PostgreSQL and Python skills.
• Prior startup experience with real ownership.
• Ability to lead projects with minimal direction for enterprise clients.
• US‑based availability across East/West Coast time zones.

Responsibilities

• Lead historical data ingestions from client research.
• Build backcasting models to align historical and live data.
• Use AI and automation to create repeatable data pipelines.
• Own client-facing projects from start to finish.
• Fix bugs across TypeScript, React, Node, SQL, Python or R.

Skills

Data ingestion

Data modeling

SQL

Python

TypeScript

React

Node.js

R

SPSS

AWS

ETL

LLM automation

Tools

PostgreSQL

AWS

SPSS

ETL tools

Job description

Remote, US

I’m working with a profitable, bootstrapped AI research platform that helps some of the best-known US consumer brands understand what people think and why. Their clients use it in place of traditional research agencies to get faster insight and better data quality. It was built by former Palantir and Harris Poll leaders, and the team is small: four engineers and a hands‑on CTO.

They’re hiring a Forward Deployed Engineer to own how clients get their data onto the platform and how much value they get from it.

The Role

You’ll take the hardest data work off the CTO’s plate. That means pushing messy, painful data integrations through until they work, then automating the pain away. It’s a customer‑facing seat, focused on client outcomes more than the technology for its own sake.

Typical work includes:

• Leading historical data ingestions: bringing years of client research from other vendors into the platform, and tracking how survey questions and answers changed from wave to wave


• Building backcasting models with the research team so historical data lines up with live tracking data


• Using AI and automation to turn manual ingestion, validation and analysis into repeatable frameworks


• Owning client‑facing projects from start to finish, increasingly with enterprise brands


• Fixing bugs and filling gaps in the platform across TypeScript, React and Node, and in SQL, Python or R

SQL, PostgreSQL, Python, TypeScript, React, Node.js, R, SPSS, AWS, data pipelines and ETL, and AI agents and LLM automation.

What they’re looking for

• 5 to 10 years in a technical, client‑facing role such as forward deployed engineering, solutions engineering, client‑facing data engineering or technical consulting


• Hands‑on experience ingesting, cleaning and modelling messy data whose structure changes over time, such as schema drift or vendor migrations


• Strong SQL, PostgreSQL and Python


• Experience at an early‑stage start‑up (seed to Series B) with real ownership


• The drive to lead projects without much direction and pull in the right people at the right time


• Experience delivering for enterprise or large consumer brands is a plus, and so is survey or market research data (tracking studies, weighting)


• US‑based and flexible on hours across East and West Coast time zones


• US citizen or Green Card holder (no visa sponsorship)

The Opportunity

• Join a profitable, bootstrapped company with no dilution, where your work ties straight to client outcomes


• Own the data side of client delivery at an early stage


• $225,000 to $250,000 base plus performance bonus and equity


• Fully remote in US time zones, with 2 to 4 team offsites a year


• A fast process: after an intro call, all interviews are done within two to three days