> 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

Canonical URL: https://nextmove.md/fde/jobs/691d370903875671

Chalk posts a FDE role to build what the customer runs in New York, NY, at $170,000–$280,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. An in-office Forward Deployed Engineer embedded with customer data, data science, and ML teams, integrating Chalk into their environments and delivering customer-specific capabilities. Read from the employer’s posting on November 8, 2026.

- [Chalk](https://nextmove.md/fde/companies/chalk)

Posted Oct 17, 2022 by Chalk · open on Ashby as of Nov 8, 2026

**$170,000–$280,000** + equity New York, NY On-site Full-time

An in-office Forward Deployed Engineer embedded with customer data, data science, and ML teams, integrating Chalk into their environments and delivering customer-specific capabilities.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F691d370903875671&placement=top)
- [View posting at Chalk](https://jobs.ashbyhq.com/chalk/4daa8b14-53ac-47a0-86d8-eaedc81bafac/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

$170K–$280K Above the median

Midpoint $225K · median $190K

This job $170K to $280K. 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
2. Proof of concept
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **2+ years** professional backend software engineering

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

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

The job is in New York, NY. Could you work there?

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**: New York, NY

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

- **Pay**:

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- [Other jobs at Chalk (3)](https://nextmove.md/fde/companies/chalk)

## The job description from Chalk

Posted by Chalk on Oct 17, 2022

### About Chalk

Chalk (chalk.ai) is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, Chalk brings together context, runtime, and learning for agents and models. Chalk’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. Chalk’s runtime powers agents and models with infrastructure and governed access to LLMs and tools. Together, these capabilities help teams build AI that understands their business, continuously improves, and runs reliably in production. We've recently raised a $50 million Series A, led by Felicis. Learn more at chalk.ai.

### About the role

You are an exceptional Software Engineer who wants to work directly alongside the people using what you build. As a Forward Deployed Engineer, you will be embedded with our customers' data engineering, data science, and machine learning teams and write code that connects Chalk to their unique infrastructure and use cases. As the subject matter expert in the room, you will work with these data teams to build efficient ML and AI systems. When a customer needs something that Chalk doesn't do yet, you will prove out that new capability and personally build the first version into our platform, where it becomes available to every customer.

Your work will power use cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up.

We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role. Traveling to customer sites is rare since you support teams from multiple customers while working in our office.

### What you will do

- Write code across the entire code base to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments
- Discover customer's needs and then design, implement, and ship new features for customers
- Work closely with our Engineering and Sales teams
- Act as the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)
- Recommend new products to customers as their business evolves
- Help interview and grow the Engineering team

### What we’re looking for

- Technical background including experience writing software or building ML models
- 2+ years experience of professional backend software engineering experience
- Proficient in Python, SQL
- Ability to collaborate effectively in teams of technical and non-technical individuals
- Excellent written and verbal communication, problem-solving, storytelling, and analytical skills
- Experience working closely with sales teams and customers is a plus.
- Bachelor's degree in Computer Science or equivalent

### Bonus points

- Previous experience working with ML/data products or services
- Understanding of Machine Learning Ops/Infrastructure
- Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning

**Compensation**
Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.

Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: market, location, scope of the position and individual qualifications objectively assessed during the interview process.

Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.

[View posting at Chalk](https://jobs.ashbyhq.com/chalk/4daa8b14-53ac-47a0-86d8-eaedc81bafac/application)

## About Chalk

Compute-first feature platform for AI and ML teams that defines features once, serves them in real time, and keeps training and inference consistent.

Series A · 50–100 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
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