About Cover Genius

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

As a Senior Product Manager, you will take end-to-end ownership of product strategy, development, and execution to deliver high-impact solutions that drive business growth and customer value. You’ll work closely with cross-functional teams to identify opportunities, define clear goals, and build products that are innovative, scalable, and user-centric. Your focus would be to own the development of data and AI-powered products that turn Cover Genius’s cross-portfolio data into actionable insights for partners.

This is not a traditional reporting or dashboard role. You will be responsible for identifying proprietary data signals, determining how they can create value for partners, and turning them into scalable data products.

Key Responsibilities:

• Define and communicate the product vision, strategy, and roadmap, aligning with overall company goals.

• Own the product strategy and roadmap for Agentic Insights, and Cover Genius’s data products.

• Identify valuable data signals across claims, sales, pricing, customer behavior, operations, and other datasets, and determine how they can be transformed into partner-facing products and insights.

• Gather, analyze, and synthesize user feedback and data to continuously improve the product and user experience.

• Develop a deep understanding of how partners make decisions around product design, pricing, conversion, claims, and operations, and use that understanding to prioritize the data products we build.

• Collaborate closely with engineering, design, and operations other cross-functional teams to ensure successful product development, launch, and iteration.

• Prioritize and manage the product backlog, making trade-offs based on business value, technical feasibility, and time constraints.

• Track, analyze, and report on key product metrics to measure success, identify areas for improvement, and inform future product development.

Skills and Experience:

• 5–7+ years of Product Management experience, ideally including ownership of data, analytics, intelligence, or AI-powered products.

• Proven experience turning large or complex datasets into products that help users make decisions, rather than simply exposing data through dashboards.

• Strong understanding of analytics concepts including metrics definition, segmentation, cohort analysis, benchmarking, and experimentation.

• Experience building AI-powered products, including LLM-based analytical or conversational experiences, is highly advantageous.

• Experience in high-growth SaaS startups or similar global tech companies

• Bachelor's degree or equivalent practical experience. A background in computer science, engineering, statistics, economics, data science, or another quantitative discipline is advantageous

Proficiencies and Attributes:

• Driven, energetic, and a "good enough is not enough" mentality.

• Strong sense of ownership over all aspects of the product.

• Highly curious: naturally asks why a metric moved, what explains an anomaly, and what additional data would answer the question.

• Commercially minded: understands that an interesting data point is not necessarily a valuable product; focuses on insights that change customer decisions.

• Analytically rigorous: comfortable challenging definitions, assumptions, cohorts, benchmarks, and conclusions.

• Result-driven with a focus on achieving measurable outcomes.

• Ability to work effectively under pressure.

• Strong organizational and time management skills.

• Positive approach to change and adaptability.

🤔 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.

• Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.

• 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.

*The cash compensation range for this role is C$135,000 - C$175,000 base salary.