Pace turns operating procedures for carriers, brokers, and MGAs into agentic systems that execute complex workflows across documents, systems, and customer channels. Backed by Sequoia.
About the role
We’re looking for a Member of Technical Staff, Intern to join our product and engineering team for the summer. This is not a typical internship. You’ll be treated as a full member of the team from day one, owning a meaningful problem and shipping work used by our customers and insurance operations teams.
What they're looking for
- 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 problems and learning by building
- Take ownership, move quickly, and seek feedback
- Care about the people using what you build, not just whether the code works
- Are excited about building dependable AI systems for complex, real-world environments
More about this role
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 Member of Technical Staff, Intern to join our product and engineering team for the summer.
This is not a typical internship. You’ll be treated as a full member of the team from day one, owning a meaningful problem and shipping work used by our customers and insurance operations teams.
Depending on your interests and the highest-priority needs of the team, you might:
Build full-stack product features for browser automation and AI-powered workflows
Work with our largest customers to understand their operations and build features that help them scale
Develop evaluations, observability, and internal tools that make our agents more reliable
You’ll work alongside our engineers and users to take a problem from initial understanding through implementation and launch.
Duration: 10–14 weeks
Dates: Flexible start dates (May or June)
Full-time opportunity: Strong...
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