About the Company  

Valued at $1.9B following a recent $100M capital raise led by Vista Credit Partners, Cover Genius is the premier global infrastructure platform for embedded protection. Operating across 60+ countries and all 50 US states, our B2B2C technology seamlessly connects over 200 partner platforms - including industry giants like Uber, Booking.com, Klarna, and eBay- with 50+ global insurance carriers to protect 70+ million customers at the point of sale.

Coming off a stellar year with 50% YoY revenue growth, over $3B in cumulative gross sales, and 240 million policies issued, we are accelerating into our next phase of scale. 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, siloes-driven, hesitant

About the Role:

As a Senior Software Engineer on the Personalisation team, you will own the design, development, and operation of our pricing optimisation and experimentation platform (BrightWrite). BrightWrite powers dynamic pricing, A/B experimentation, plan recommendation for XCover and RentalCover, serving millions of pricing requests per day at low latency, both as an embedded Python package and as a standalone API service.

You will lead the end-to-end delivery of platform features, from the experimentation engine and the pricing-expression language, through to event tracking pipelines and the analytics that Data Scientists and pricing analysts rely on. Because BrightWrite sits directly in the insurance quote path, your work has an immediate, measurable impact on conversion and margin across every partner.

Key Responsibilities:

• Pricing platform development. Design, build, and maintain the core BrightWrite pricing services, pricing calculation, experiment platform and ML infra integration,  keeping them fast, correct, and safe at scale

• Experimentation framework. Evolve the A/B testing framework so internal stakeholders can run reliable, revenue-safe pricing experiments with confidence.

• Personalisation and offer optimisation. Build the personalisation capabilities that tailor what each customer sees, build the data to serve the right product at the right price for every partner and customer segment

• System reliability and observability. Design robust monitoring, alerting, and graceful-degradation behaviour to protect partner sales. Proactively identify, debug, and resolve production issues.

• Cross-functional collaboration. Work closely with data science, the XCore and RentalCover teams to ship integrations, enforce pricing guardrails, and turn experiment data (pubsub events, BigQuery) into decisions.

What you will bring:

• Bachelor's degree in Computer Science, Engineering or a related field, coupled with 6+ years of professional software engineering experience building highly scalable, data-intensive backend systems in Python

• Proven experience designing and operating low-latency, high-throughput services in the critical path of revenue — including API design, caching/CDN-backed configuration delivery, and performance optimisation.

• Strong foundation in software engineering principles with a demonstrated ability to design, build, and maintain clean, testable Python services and internal libraries consumed by other teams.

• Experience with experimentation or A/B testing systems

• Hands-on experience with production operations: Kubernetes, CI/CD pipelines, observability and monitoring tooling, and incident response for business-critical services.

• Comfort working with data pipelines and warehouses (e.g. Pub/Sub event streams, BigQuery) to instrument features and validate outcomes.

• Nice to have: experience building parsers, interpreters, or domain-specific languages in Python and familiarity with applying LLM-assisted tooling to internal workflows.

What you will have:

• Ownership mindset with the ability to lead ambiguous, cross-functional initiatives to measurable outcomes.

• You are self-motivated and continuously study the new practices and tooling in data engineering.

• Simple, robust engineering over hype: you critically evaluate new tools and techniques and choose what works

• A natural mentor and collaborator who can clearly articulate complex technical concepts to engineers, data scientists, and non-technical stakeholders alike

• Embodies CG values—bold experimentation, purposeful innovation and authentic collaboration across diverse, global teams.

🤔 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: 

• Make today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.

• Act with accountability: We own our commitments  and take pride in delivering results that move us forward.

• Grow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.

• Inspire Each Other: We push each other to think bigger and pull together to go further.

• Champion Our Customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.

• Don't just take our word for it- hear about our culture straight from our people here: story time

Ready to make an impact? If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you.

The Legal & Privacy Stuff

Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

By submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.

*This position offers a base salary compensation range of C$135,000 to C$175,000 annually.