> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Engineer, Finance Solutions

Canonical URL: https://nextmove.md/fde/jobs/f6274d8a9bc6dfaf

Preql posts a FDE role to integrate and configure the product in US with no pay posted. Own business outcomes for enterprise accounts from kickoff through production and expansion Read from the employer’s posting on November 8, 2026.

- [Preql](https://nextmove.md/fde/companies/preql)

Posted Aug 10, 2026 by Preql · open on Ashby as of Nov 8, 2026

Pay not posted US Remote Full-time

Own business outcomes for enterprise accounts from kickoff through production and expansion

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Ff6274d8a9bc6dfaf&placement=top)
- [View posting at Preql](https://jobs.ashbyhq.com/preql/ae52fe5e-05d7-431c-84d5-a53a36adb1ba/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Integrates and configures it

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** building with data in production

Background

- **Software engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The work is remote from the US. Can you work from the US?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US

- **Work arrangement**: Remote

- **Employment type**: Full-time

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## The job description from Preql

Posted by Preql on Aug 10, 2026

### About Preql

Preql helps enterprises clean, unify, and govern messy internal data so it actually works for AI, analytics, and reporting. We work with large organizations navigating complex data environments and high-stakes operational workflows. Based in New York, our team comes from data infrastructure, AI, and enterprise software.

### How we work

We’re a small team with little bureaucracy. Leadership expects individuals to take ownership, move quickly, and make good decisions for the company with support from their teammates. The curious do well here, are comfortable operating in ambiguity, and are willing to form opinions and act on their convictions instead of waiting for instructions.

You will sit inside customer environments, learn how a specific finance organization actually closes its books and plans its year, and build the semantic models that make that work. You will be the person who understands both a customer's GL and our platform internals well enough to get the numbers right and defend them to a controller.

This is not a support role and it is not pure services. Every deployment you run should make the next one faster. The work you do by hand in month one should be a product capability by month six. You will be the loop between what customers need and what we build.

### What you will own

- The business outcomes for a portfolio of enterprise accounts, from kickoff through production and expansion
- Semantic models for finance logic: revenue recognition, cost allocation, GL and cost center hierarchies, headcount and driver based planning
- Source integration and mapping across ERPs, planning systems, and warehouses, including the reconciliation problems that surface once real data lands
- Working sessions with controllers, FP&A leads, and customer data teams, translating between finance language and data models
- The judgment call on what is a modeling problem, a source data problem, or a product gap, and routing each one to the right place
- A steady stream of product feedback backed by specifics, not anecdotes, so engineering builds against real customer friction
- Reusable models, templates, and documentation that shrink time to value on every subsequent account

### What success looks like

- **90 days:** you have taken an account from install to first trusted output, and you can explain any number in a customer's reporting back to its source
- **6 months:** time to first value for a comparable account has dropped measurably because of models and assets you built, and customers ask for you by name
- **12 months:** the delivery playbook is yours, expansion conversations start with work you did, and the next engineers we hire ramp against what you wrote

### What we are looking for

- 5+ years building with data in production, with deep SQL fluency and comfort in Python
- Direct experience with cloud warehouses (Snowflake, Databricks, BigQuery) and transformation tooling (dbt or equivalent)
- Real working knowledge of financial data. You know why the finance team's definition of revenue is different from the data team's, and you have modeled a chart of accounts, an allocation, or a close process before
- Experience working directly with enterprise customers, including the parts that are uncomfortable: scoping, pushing back, and delivering bad news early
- High tolerance for ambiguity. Early accounts will not have a playbook, and you will write the playbook
- Judgment about when to solve something for one customer and when to solve it for all of them

### Strong signals

- Familiarity with ERP and planning systems (NetSuite, Workday, SAP, Oracle)
- Background in consulting, solutions architecture, or professional services at a data or AI company
- You have worked with regulated buyers
- You have been the first or second technical hire on a customer facing team
- Time spent inside a finance or accounting function, or close enough to one to have felt a close

[View posting at Preql](https://jobs.ashbyhq.com/preql/ae52fe5e-05d7-431c-84d5-a53a36adb1ba/application)

## About Preql

AI-powered data platform that cleans, reconciles, and semantically models enterprise financial and operational data for reliable reporting and AI workflows.

Seed · 10–50 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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