Forward Deployed Engineer

Posted 2 Days Ago
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New York City, NY, USA
In-Office
Mid level
Artificial Intelligence • Edtech • Software
The Role
Partner with large enterprise insurance customers to expand use cases, build solutions in the product, ship features, integrations and evaluations, and collaborate with engineering to unblock and scale customer deployments. Serve as a customer-facing engineer focused on delivering mission-critical applied-AI solutions.
Summary Generated by Built In

Pace is the AI operations partner for the world's leading 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 outsourcing 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. This role is based in New York.

 
Responsibilities

In this role specifically, the core responsibilities will include:

  1. Working with our largest customers to expand to new use cases.

  2. Building solutions to their largest problems in our product.

  3. Shipping features, integrations, and evals in the codebase to unblock customers.

  4. Collaborating with engineering to ship larger features and products for our customers.

 
Team characteristics

The Pace team has a couple of defining characteristics:

  1. 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.

  2. 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.

 
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.

 
Compensation & Benefits
  • Competitive base salary + meaningful early-stage equity

  • Full medical, dental, and vision coverage

  • Unlimited PTO

  • In-person, New York City

At Pace, we're building a talent-dense team where teammates grow into leaders. This might mean growing into a world-class IC, owning a function, or leading teams. Whichever your path, we want to support you to grow at Pace and beyond for the long-term.

We're a <40 person team based in-person in New York and are 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.

Skills Required

  • Based in New York and able to work in-person
  • Experience shipping features, integrations, and code to production
  • Customer-facing experience working with large enterprise accounts to deliver technical solutions
  • Experience with applied AI products or AI-driven workflows
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The Company
49 Employees
Year Founded: 2022

What We Do

Pace AI is an AI-native English-language learning and workforce-training platform. It equips partners with organization-specific, on-the-job training for lower-literacy and ESL workers, using AI to augment curriculum and technical training. The company transforms existing content into personalized learning experiences for schools and workforce-development programs, aiming to unlock economic opportunities through more accessible, practical education across education and employment contexts.

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