Forward Deployed Engineer

_
Location_: NYC, San Francisco, or Washington D.C

.Work model: Hybrid, with up to ~30% customer trave

l
$175,000 to $250,000 base sala

ry
Company Overv

iewOur client is building an AI platform for regulated industries, starting with financial services. The platform helps compliance, risk, legal, and oversight teams scale complex judgment-heavy workflows that are currently handled manually by highly specialized peop

le.The company has exceptional early tracti

on:$31M in fund
ing~8 employees to
dayNearly $40M in contracted value sig
nedStarted the year at $0
ARRTargeting ~$50M ARR by year-
endAlready deploying with large regulated financial instituti

ons
Role Over

viewOur client is hiring a Forward Deployed Engineer to own strategic customer deployments end-to-end. This is a true FDE role, not a narrow implementation or solutions engineering posit

ion.The ideal candidate acts like a “GM of the customer” — technical enough to build, product-minded enough to shape the roadmap, and customer-oriented enough to own outcomes like expansion, retention, adoption, and time-to-go-l

ive.
The role is roughly 70–80% customer-facing while still requiring strong hands-on engineering abi

lity.
What You

’ll DoOwn enterprise deployments from discovery through production r
olloutWork directly with customers to understand workflows and pain
pointsBuild integrations, prototypes, and lightweight fe
aturesConfigure AI / LLM-powered workflows in real customer enviro
nmentsTranslate customer feedback into product requir
ementsDrive outcomes like expansion, retention, adoption, and time-to-g
o-liveBuild reusable platform capabilities rather than one-off implement

ations
Ideal Bac

kground3–8 years of experience in FDE, Solutions Engineering, Applied AI, Product Engineering, or customer-facing SW
E rolesStrong Python
skillsExperience with LLMs, prompt engineering, AI agents, ML pipelines, APIs, integrations, or workflow aut
omationStrong product and business
mindsetComfortable working directly with enterprise stake
holdersHigh-agency, founder-like ownershi
p styleStartup or AI-native company experience pr

eferred