Forward Deployed Engineer, Intern

Pace • New York City, NY

43d • Onsite

About The Position

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

Requirements

• 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

Nice To Haves

• Experience with AI systems or enterprise software is helpful but not required.

Responsibilities

• 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

Benefits

• Competitive compensation
• A generous meal stipend for lunch and dinner

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed