Member of Applied AI Staff, Forward Deployed Engineer

Published October 25, 2026 · Updated October 25, 2026

Pay not postedNew York, NYOn-siteStaffYesterday

Expand to new use cases with large customers.

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View posting at Pace

At a glance

Posted base pay

Not posted

Median $190K

Typical senior FDE payMiddle 50% of 1,803 postings$160K–$220K

The work

Builds what the customer runs

Balance

Mostly building
Mixed
Mostly pre-sales or support

Project stages

Pre-sales (not covered)
Proof of concept (not covered)
Implementation
Operations (not covered)

Coding: Writes production code
Builds for: External customers
Level: Senior
Role: Individual contributor

What they ask for

Tools

AI agents
evals

Less common in FDE jobs

Company size: About 1–50 people13%
Company stage: Growth16%
On-site37%
Individual contributor or manager: Individual contributor49%

Share of US FDE postings that state each fact.

The job description from Pace

Pace is an AI-native business process outsourcer for insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsourcing in financial services every year. We’re here to change that working side-by-side with some of the largest companies in the world.

Role

We’re looking for a deployed engineer who will partner with our largest customers mission critical problems with Pace.

Team characteristics

The Pace team has a couple of defining characteristics:

Integrity: The most important thing is working with good people who want to have a massive impact on the world. Our team genuinely wants to do the best work of their careers and know it’ll take 5-10 years of focus to deliver.
Ambition: The ambition for this company is not just a good vertical AI business but a $100bn+ outcome across vertical services. We’re looking for people that raise that level of ambition. Often times this means they want to be the best at what they do, become leaders at scale or one day start their own company. Pace will be the best place to learn, deliver impact and advance your path to do something great.

Responsibilities

In this role specifically, the core responsibilities will include:

Working with our largest customers to expand to new use cases.
Building solutions to their largest problems in our product.
Shipping features, integrations, and evals in the codebase to unblock customers.
Collaborating with engineering to ship larger features and products for our customers.

Trajectory

Equally important is that we want to invest in you for the long-term. You’ll be leading the company not just in applied AI but across many potential paths:

→ Applied AI leadership

→ Product

→ GM of a business line

We want to support you to grow at Pace and beyond for the long-term. Deployed engineering in particular is the ideal team for former or future founders as you’ll learn to both build and sell products in the enterprise.

We’re a <20 person team based in-person in New York. We’re lucky to be perfectly positioned with leading customers and top investors to make a real impact on one of the largest industries in the world.

View posting at Pace