# Applied Forward Deployed Engineer (Post-Sales)

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. W

- **Id**: 3895815
- **Url**: <https://alion.io/job/monte-carlo-applied-forward-deployed-engineer-post-sales>
- **Role**: Solutions
- **Role family**: Solutions
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: remote
- **Remote scope**: stated_countries
- **Remote scope basis**: board_field
- **Hiring geo confidence**: structured
- **Hiring countries**: US
- **Hiring countries total**: 1
- **Experience years min**: 5
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-06T20:08:47Z
- **Employer posted date**: 2026-11-06
- **Last verified at**: 2026-11-09T05:08:53Z
- **Board verified**: yes
- **Days open**: 2
- **Description format**: text
- **Description chars**: 5327
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: Data Quality & Observability, Data Observability

## Company

- **Id**: 48429
- **Name**: Monte Carlo
- **Domain**: montecarlo.ai
- **Url**: <https://alion.io/company/montecarlo>
- **Size band**: 501-1000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

## Salary

- **Min**: 140000
- **Max**: 180000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 180000

## Technologies

- **AI Agents** — Optional: no
- **Databricks** — Optional: no
- **Python** — Optional: no
- **Rest API** — Optional: no
- **Snowflake** — Optional: no
- **SQL** — Optional: no
- **Anthropic** — Optional: yes
- **Claude** — Optional: yes
- **dbt** — Optional: yes
- **Fivetran** — Optional: yes
- **Looker** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 2

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-06T23:16:22Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 1 · green card filings: 1; Filings 12m: 1

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 2
- **Expected fill days**: 37
- **Reasons**: conf:0, win:early
- **Computed at**: 2026-11-09T06:03:00Z

## Pay

- **Stated usd annual**: 180000
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.