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Stuut

1 open Forward Deployed Engineer role at Stuut. Curated with comp bands.

Comp on the board: $150K–$240K + equity.

On the board since Aug 2026 · still hiring

Our take

Why Stuut

The best-funded seat on this shortlist — an a16z-backed AR-automation fintech that just closed $29.5M and now runs FDEs across NYC, SF, and London.

FDE type
True forward-deployed
Travel
Medium
Comp
Competitive
Stage
Early-stage

A good fit if you're…

  • Engineers who like unglamorous, high-retention enterprise finance problems
  • People who want an on-site fintech seat in NYC, SF, or London
  • Candidates comfortable embedding with finance/AR teams and integrating ERPs like NetSuite and SAP
  • Those who value a fresh a16z Series A and Fortune-10 logos over a pure equity moonshot

What they do

Stuut builds AI agents that automate B2B revenue collection — order management, credit, collections, payments, cash application, and reconciliation — the back-office machinery that decides how fast a company gets paid. It's designed to sit on top of existing ERPs rather than replace them, and the company says customers cut days-sales-outstanding by roughly 47% and collect 40% more cash while stripping out most manual work.

What “forward deployed” means here

Classic land-and-expand FDE work: you embed with a customer's finance/AR org, map their collections process, and automate it in place — writing scripts and building integrations with NetSuite, SAP, Salesforce, and other ERPs. Stuut's posting asks for 3+ years in technical customer-facing roles, Python fluency, and startup experience, and notes that travel to client sites is expected. The pain is concrete and measurable, which makes the deployments sticky.

The raise that changes the calculus

In November 2025 Stuut closed a $29.5M Series A led by Andreessen Horowitz, with Khosla Ventures among the backers. That's an unusually large A for an accounts-receivable company, and it reframes the seat: runway, go-to-market build-out, and hiring pace are funded, so this is less of a survival bet than most early-stage FDE roles on the board — the risk is execution, not whether payroll clears.

Comp, leveling & benefits

The board shows $150K–$240K + equity — a competitive band with a wide range, so expect to be leveled across a spread — while Stuut's own listings describe pay as “top-of-market salary + equity.” Benefits include full medical, vision, and dental, a 401(k), and stock options. Seats are on-site in NYC, San Francisco, or London, so factor cost-of-living and the in-person expectation into any offer.

Customers & traction

Stuut says it serves Fortune-10 enterprises and mid-market companies across industrials, chemicals, and manufacturing — sticky, high-retention accounts where getting paid faster is a board-level metric. Landing that caliber of logo this early is strong proof, and the fresh a16z round is explicitly meant to turn those early wins into a repeatable enterprise motion rather than a string of bespoke deployments.

Who thrives, and who bounces

Thrives: engineers who like concrete, measurable pain (DSO, cash collected), enjoy embedding with finance teams, and don't mind ERP-integration plumbing. Bounces: anyone chasing glamorous greenfield AI research, fully-remote work, or a role without customer contact — the on-site, consultative core of this seat is the point, not a temporary phase.

Questions candidates ask

What would I integrate with as a Stuut FDE?

ERPs and finance systems — the posting names NetSuite, SAP, and Salesforce. You'd write scripts and build integrations to deploy Stuut's AR agents on top of a customer's existing stack rather than replacing it.

How well-funded is Stuut?

Well-funded for its stage: a $29.5M Series A led by a16z (with Khosla Ventures) closed in November 2025. That's a large A for AR automation and it funds the go-to-market and hiring behind these FDE seats.

Where are the FDE seats, and are they remote?

On-site in NYC, SF, or London per the current board. Travel to client sites is expected, so this is not a remote role — plan for in-person embedding with finance teams.

What experience does the FDE role want?

About 3+ years in a technical, customer-facing role, Python fluency, and startup experience. Comfort embedding with finance/AR teams and doing ERP-integration work matters more than deep ML research.

Analysis updated 2026-09-30

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