Forward Deployed Engineer, Intern

Pace is the AI operations platform for insurance, trusted by some of the leading carriers, specialty mutual groups, and tech-forward brokers.

Almost $400bn per year is spent on outsourcing in financial services. 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 Forward Deployed Engineer, Intern to join our Applied AI team for the summer.

This is not a typical internship. You’ll be treated as a full member of the team from day one, working directly with our customers, owning a meaningful problem, and shipping solutions that help some of the world’s largest insurers scale their operations with Pace.

Depending on your interests and the highest-priority needs of the team, you might:

Work with customers to understand their operations and expand Pace into new use cases
Build AI-powered workflows that solve customers’ most important operational problems
Ship features, integrations, and evaluations in our codebase to unblock deployments
Investigate agent behavior and improve the quality and reliability of customer workflows
Turn patterns across customer deployments into reusable product capabilities

You’ll work across customers, Product, and Engineering to take a problem from initial discovery through implementation, deployment, and iteration.

Internship Details

Duration: 10–14 weeks
Location: In person in New York
Dates: Flexible start dates in May or June
Compensation and Benefits: Competitive compensation and a generous meal stipend for lunch and dinner
Full-time opportunity: Strong performers may be considered for a full-time role after graduation

Your background

You might be a strong fit if you:

Have built something from scratch through a class, research project, internship, startup, open-source contribution, or personal project
Have a strong software engineering foundation and experience programming in at least one language
Enjoy working through ambiguous technical and operational problems
Communicate clearly and are excited to work directly with customers
Take ownership, move quickly, and seek feedback
Care about whether what you build creates a successful outcome for the customer, not just whether the code works
Are excited to work at the intersection of AI, product, engineering, and customer operations

Experience with AI systems or enterprise software is helpful but not required. We care more about your technical foundation, rate of learning, and ability to turn complex problems into working solutions than experience with our exact stack.

Team characteristics

The Pace team shares two defining characteristics:

Integrity: We want to work with good people committed to doing the best work of their careers. We believe meaningful impact takes sustained focus, and we’re building for the next 5–10 years.
Ambition: We’re building more than a successful vertical AI company. We’re pursuing a $100bn+ outcome across vertical services and want teammates whose ambitions match the opportunity—whether they aim to become exceptional individual contributors, lead at scale, or start companies of their own.

Trajectory

Our goal is to invest in people with exceptional potential and accelerate their growth.

If there’s a strong mutual fit, this internship can lead to a full-time Forward Deployed Engineer role after graduation. From there, potential paths include:

Growing into Applied AI leadership
Owning and scaling a product or business line

Forward deployed engineering is an ideal path for future founders and business leaders because you’ll learn how to understand customers, build products, and deploy them successfully in the enterprise.

We want Pace to be the best place to learn quickly, deliver meaningful impact, and advance your path toward doing something great.

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 line of business, 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 across New York and London. We’re fortunate to be working with leading customers and top investors, with the opportunity to make a real impact on one of the largest industries in the world.

About the company

Pace builds AI agents that automate insurance back-office work. The agents autonomously perform end-to-end tasks such as submission intake, policy servicing, and claims handling (including First Notice of Loss) by navigating internal applications, interpreting documents, and even making phone calls. Their platform integrates with legacy systems, mainframes, and desktop apps so automation can span existing workflows. Unlike vendors that sell standalone software, Pace offers end-to-end outcomes with pricing based on successful transactions, targeting the sizable BPO spend in insurance and financial services and replacing manual or offshore workflows with AI-driven processes. The company aims to help insurers achieve faster, more accurate, and scalable operations by embedding AI agents into daily operations and outsourcing-like workflows.

Company Size

51-200

Company Stage

Series B

Total Funding

$46M

Headquarters

New York City, New York

Founded

2024

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Simplify's Take

What believers are saying

Pace raised $46 million on May 27, 2026, valuing the company at $375 million.
Pace claims 250,000 autonomous workflows and 30% faster claims cycles at Ryze.
Management says customer demand supports tens of millions of tasks across the US and Europe.

What critics are saying

Carriers can insource these workflows once models commoditize, crushing Pace's pricing power.
A bad claims or servicing error triggers insurer churn and regulatory scrutiny by 2027.
Microsoft, UiPath, and BPO incumbents can bundle similar automation into existing contracts.

What makes Pace unique

Pace sells outcome-based insurance operations, not seat licenses or generic copilots.
Its agents navigate legacy systems, mainframes, documents, and phones end-to-end.
Sequoia and Thrive backed Pace after Prudential, WTW, and Newfront deployments.

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Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

Business Wire

May 28th, 2026

Pace Raises $46 Million Series B to Build the Next Century of Insurance

Pace, the AI operations partner for the world’s leading insurers, today announced its $46 million Series B, co-led by Thrive Capital and Sequoia Capital, wit...

TechStartups

May 27th, 2026

Pace raises $46M from Sequoia and Thrive to bring AI agents to the insurance industry.

Pace raises $46M from Sequoia and Thrive to bring AI agents to the insurance industry. Insurance has long been one of the biggest targets for AI automation. The industry still runs on mountains of paperwork, manual data entry, phone calls, policy reviews, and claims processing that can take days or weeks to complete. Investors are now pouring money into startups trying to rebuild those workflows with AI agents. One of the latest bets comes from Pace, a startup building AI agents for insurers. The company announced Tuesday it has raised $46 million in Series B funding co-led by Thrive Capital and Sequoia Capital, with participation from Emergence Capital and Pruven Capital. Pace works with insurers and brokers including Prudential, WTW, The Mutual Group, and Newfront. The startup says its AI agents have already completed more than 250,000 insurance workflows since launching last year. "At Pace, we are on a mission to insure more of the world's risk," said Jamie Cuffe, founder and CEO of Pace. "Closing the $9 trillion protection gap starts with AI-native operations and Pace agents are purpose-built for that work." With $46M in funding from Sequoia and Thrive, AI startup Pace aims to transform insurance workflows. The company's pitch is straightforward. Insurance firms still depend heavily on back-office workers to process submissions, service policies, handle claims, ingest documents, and move information between disconnected systems. Pace wants AI agents to take over much of that repetitive work. Its software can move through internal applications, read documents, reason across data, and even place phone calls to complete operational tasks that previously required human staff. That approach is gaining traction across the insurance sector, where companies are under pressure to reduce costs without slowing customer response times. Pace says its systems are already automating thousands of hours of manual work for Prudential across policy servicing and issuance workflows tied to customer acquisition. The company says its partnership with Ryze Claim Solutions has reduced claim cycle times by 30%, and its deployment at Convex US speeds up data ingestion for renewals and new business processing. Pace plans to use the new funding to scale what it calls an "agentic workforce" capable of handling tens of millions of operational tasks this year across the United States, Europe, and other global markets. "At Thrive, there are two things that really matter to us when investing in a company: ideas whose time has come and people who are really well matched to the problems they're working on," said Philip Clark, partner at Thrive Capital. "We are in this really special moment where the most important high-value parts of the knowledge economy are being augmented and automated to a significant degree by these models, and Jamie is one of those people where you go in biased to saying yes." Large insurers appear increasingly open to experimenting with AI systems that can plug directly into day-to-day operations rather than serving as simple chatbots or customer service assistants. "We're delighted to be partnering with Pace," said Terry Garrett, Head of Strategy and Operators, Risk & Brokering at WTW. "Our collaboration brings together shared ambition, complementary strengths, and a real commitment to doing things better - for our clients, colleagues, and the wider industry. This partnership will make a meaningful difference to our business model over the long term." The funding comes as investors continue to back startups building AI agents for enterprise work. Insurance has emerged as one of the biggest early markets for that shift. The industry generates huge amounts of structured and unstructured data, runs on repetitive workflows, and still relies on many processes built decades before modern AI systems existed. Pace is betting that insurers are finally ready to hand more of those operations to software.

Benzinga

May 27th, 2026

Pace raises $46M Series B to automate insurance operations with AI agents

Pace, an AI operations platform for insurers, has raised $46 million in a Series B round co-led by Thrive Capital and Sequoia Capital, with participation from Emergence Capital and Pruven Capital. The company partners with major insurers including Prudential, WTW and The Mutual Group, deploying AI agents to automate back-office tasks such as policy servicing, claims handling and data entry. Since launching last year, Pace has completed over 250,000 insurance workflows autonomously. Founder and CEO Jamie Cuffe said the company aims to address the $9 trillion protection gap through AI-native operations. The funding will support scaling operations to tens of millions of tasks globally this year. At Prudential, Pace automates thousands of hours of manual work, whilst at Ryze Claim Solutions it has reduced claim cycle times by 30%.

Target Markets Program Administrators Association

May 27th, 2026

Pace raises $46 million Series B to build the next century of insurance.

Pace raises $46 million Series B to build the next century of insurance. (May 27, 2026/Business Wire) Pace, the AI operations partner for the world's leading insurers, today announced its $46 million Series B, co-led by Thrive Capital and Sequoia Capital, with participation from Emergence Capital and Pruven Capital. Pace partners with several public insurers and brokers to provide its cutting-edge technology, including The Mutual Group, Newfront, Prudential, and WTW. Since launching last year, Pace has autonomously completed more than a quarter of a million critical insurance workflows with AI agents for the world's leading insurers. "At Pace, we are on a mission to insure more of the world's risk," said Jamie Cuffe, founder and CEO of Pace. "Closing the $9 trillion protection gap starts with AI-native operations and Pace agents are purpose built for that work." Pace will use this capital to help its customers scale their agentic workforce to tens of millions of operations tasks this year across the US, Europe and now globally. "At Thrive, there are two things that really matter to us when investing in a company: ideas whose time has come and people who are really well matched to the problems they're working on," said Philip Clark, partner at Thrive Capital. "We are in this really special moment where the most important high value parts of the knowledge economy are being augmented and automated to a significant degree by these models and Jamie is one of those people where you go in biased to saying yes." At Prudential, Pace automates thousands of hours of manual work across policy servicing and issuance for customer acquisition. In partnership with Ryze Claim Solutions, Pace resolves claim cycle times 30% faster, and at Convex US, AI agents speed up data ingestion for new business and renewals. "We're delighted to be partnering with Pace," said Terry Garrett, Head of Strategy and Operators, Risk & Brokering at WTW. "Our collaboration brings together shared ambition, complementary strengths, and a real commitment to doing things better - for our clients, colleagues, and the wider industry. This partnership will make a meaningful difference to our business model over the long term."

Pace

Forward Deployed Engineer Intern - Applied AI

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