Configuration Engineer - Python

Worldwide | Nov. 10, 2026

Report as Closed

Company: Cover Genius

Country: Worldwide

Type: Remote

Employment: Full Time

Description:

The Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.

Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.

Our people are: Accountable, customer-obsessed, collaborative, driven

Our people are not: Passive, defensive, siloed, hesitant

About the role

Policy Configuration Engineers own the full lifecycle of AI-augmented policy delivery on Cover Genius's XCore platform. The PCA bridges business stakeholders and the Policy Agent — gathering requirements, writing Python expressions and directing the agent with structured inputs, validating its output, and owning the result end-to-end.

What will your day look like? You will...

Requirements & discovery. Engage stakeholders. Resolve ambiguity early. Document requirements that need no follow-up.
End-to-end build ownership. Understand the XCore policy administration system and its attached systems (XPSD, XReport, Checkmate, XLedger) well enough to complete policy builds end to end — from specification through configuration, pricing, testing, and financial validation.
Portfolio ownership. Manage concurrent policy builds across sprints. Keep the backlog clean. Give accurate delivery estimates.
Policy configuration. Translate requirements into Python expressions and structured inputs for the Policy Agent. Validate the agent's output as a fluent practitioner.
Testing. Build and run comprehensive test plans. Maintain automated test suites across multiple demographics and scenarios.
Post-launch ownership. Triage and resolve post-launch bugs and change requests.
Documentation. Keep product and configuration docs accurate across the full build lifecycle.

Using AI in this role

AI is central to how this role delivers policy configuration.

Direct the Policy Agent with clear, structured requirements
Read and debug the agent's Python output as a fluent practitioner, not just a reviewer.
Validate agent output against pricing sheets, underwriting rules, and specifications before it ships

To help us level up, you'll ideally have:

2+ years in a technical role, platform engineering, or configuration role using Python.
Python fluency — can read, write, debug, and validate expressions and agent-generated output.
API proficiency (Postman, cURL, JSON interpretation)
Hands-on experience on testing methodologies and best practices
Ability to translate non-engineering stakeholder needs into engineering-ready specs.
Strong numerical and analytical skills (pricing requirements, actuarial inputs, financial structures).
Understanding of Django and Django REST framework is a huge bonus

🤔 Why Cover Genius?

At Cover Genius, we create magic by turning the archaic into the extraordinary. We take one of the world’s oldest and most complex industries and reinvent it with world-class technology. Cover Genius doesn’t just disrupt legacy insurance; we make the impossible feel effortless. Our operating principles guide our mission: