> 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.

# Applied Forward Deployed Engineer (Post-Sales)

Canonical URL: https://nextmove.md/fde/jobs/4593abbbddffbf3a

Monte Carlo posts a FDE role to build what the customer runs in US, at $140,000–$180,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Own post-sale technical deployments for enterprise customers, writing production code in customer Snowflake and Databricks environments and integrating Monte Carlo with their data pipelines. Read from the employer’s posting on November 8, 2026.

- [Monte Carlo](https://nextmove.md/fde/companies/monte-carlo)

Posted Nov 6, 2026 by Monte Carlo · open on Ashby as of Nov 8, 2026

**$140,000–$180,000** + equity US +1 Remote Full-time

Own post-sale technical deployments for enterprise customers, writing production code in customer Snowflake and Databricks environments and integrating Monte Carlo with their data pipelines.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F4593abbbddffbf3a&placement=top)
- [View posting at Monte Carlo](https://jobs.ashbyhq.com/montecarlodata/be0320e9-f13f-4470-80a1-db9b8c9a6bb2/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

$140K–$180K Below the median

Midpoint $160K · median $190K

This job $140K to $180K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

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

Travel **Up to 25%**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** Building on Snowflake, Databricks, or a modern cloud warehouse

Background

- **Software 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 · San Francisco, California

- **Work arrangement**: Remote

- **Remote work restrictions**: Remote, US

- **Employment type**: Full-time

- **Travel**: Up to 25%

- **Pay**:

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### [Forward Deployed Research Engineer](https://nextmove.md/fde/jobs/e1d90d94cc954944)

San Francisco, CA Remote 3mo ago

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- [Other jobs at Monte Carlo (1)](https://nextmove.md/fde/companies/monte-carlo)

## The job description from Monte Carlo

Posted by Monte Carlo on Nov 6, 2026

### About Monte Carlo

Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them — so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them. The result is self-improving agents that get better with every fix instead of drifting. More than 400 enterprises, including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue, rely on Monte Carlo. Learn more at montecarlo.ai.

### The Role

We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll write production code in customers' Snowflake and Databricks environments, integrate Monte Carlo with their real pipelines, and become the technical advisor they call before they escalate. This isn't support and it isn't a CSM role: your metric is whether the customer is live and consuming. It's an early hire into a new function, so you'll help write the FDE playbook, not inherit one. Remote (US), with roughly 25% travel to customers.

### What You'll Do

- Own deployment from day one post-close: monitors, alerts, and integrations configured for the customer's actual environment.
- Write production-quality Python, SQL, and API integrations tailored to customer pipelines, and clear whatever stands between a signed contract and a fully operational deployment.
- Drive customers to consumption. You're accountable for active usage and measurable value, not just go-live.
- Expand adoption beyond the first champion across teams, data assets, and use cases.
- Feed what you see in the field back to Product and Engineering so it shapes the core product instead of turning into one-off work.
- Shape the FDE playbook as an early member of the team.

### What We're Looking For

- **Data platform depth.** 5+ years building on Snowflake, Databricks, or a modern cloud warehouse as the person who designed and built it, not an end user. Production Python and SQL, and comfortable wiring up REST APIs in someone else's environment.
- **Post-sale ownership.** You've owned technical outcomes for enterprise customers after the contract: implementation, solutions or forward deployed engineering, technical onboarding. You measure yourself on go-live and adoption.
- **Range with people.** You can run a working session with a room of data engineers and brief a VP in the same week.
- **Builder in ambiguity.** You've operated without a playbook and built the structure yourself. You create motion instead of waiting for direction.
- **Nice to have.** dbt, Airflow, Fivetran, or Looker; data quality, pipeline monitoring, or incident response; a background in data observability or an adjacent category.

### This Is Not For You If

- You want a support queue or a defined playbook to follow.
- You've only worked pre-sale and never owned what happens after the contract is signed.
- Your data experience is all internal, with no customer-facing context.
- You'd rather advise on the stack than write code in it.

#LI-REMOTE

#BI-REMOTE

### Why Monte Carlo

- We created the data observability category, and we're doing it again with agent trust — you'll build where the market is forming, not where it's settled
- Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures
- Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes
- Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory
- Remote-first by design since day one, and recognized as a Best Workplace for it
- Competitive compensation, equity, and a remote-first environment.

### Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

*Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*

### We are proud to be recognized for our world-class employee experience

Monte Carlo Named 2025 Databricks Data Governance Partner of the Year

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo Named to G2's Best Software Products of 2026

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

### Beware of Imposter Recruiters and Job Scams

- All official communication from our recruiting team will come from an **@** **montecarlodata.com** email address.
- We will **never** ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
- We will **never** request payment for equipment, training, or application processing.
- Our open positions are always listed on our **official careers page** *: * *https://jobs.ashbyhq.com/montecarlodata* *.*

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at **recruiting@montecarlodata.com** before sharing any personal information.

[View posting at Monte Carlo](https://jobs.ashbyhq.com/montecarlodata/be0320e9-f13f-4470-80a1-db9b8c9a6bb2/application)

## About Monte Carlo

Monte Carlo provides a data and AI observability platform that monitors, troubleshoots, and improves production AI agents and their underlying data.

Series D · 200–500 people

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