Senior Product Manager - Agentic Insights

Socket.dev; Vancouver; On-site; CAD 135,000 - 175,000; Full time

Benefits offered by this job

Flexible PTO

Employee Stock Options

CG Gives programs

Social Initiatives

Job summary

Cover Genius in Canada is seeking a Senior Product Manager to own data and AI-powered product strategy end-to-end, turning cross-portfolio data into actionable insights for partners. You’ll work with engineering, design, and operations to identify opportunities, define clear goals, and build scalable, user-centric products.

You’ll focus on proprietary data signals from claims, sales, pricing, and customer behavior to create partner-facing products.

Qualifications

• 5–7+ years of Product Management experience, including data, analytics, or AI-powered products.
• Experience turning large datasets into decision-making products, not just dashboards.
• Strong analytics concepts: metrics, segmentation, cohorts, benchmarks, experiments.
• Experience building AI-powered products, including LLM-based analytics or conversations.
• Experience in high-growth SaaS startups or global tech companies.
• Background in STEM or quantitative field is advantageous.

Responsibilities

• Define and communicate the product vision, strategy, and roadmap.
• Own the product strategy and roadmap for data products and Agentic Insights.
• Identify valuable data signals and turn them into partner-facing products.
• Gather, analyze, and synthesize user feedback and data to improve the product.
• Understand partner decision-making to prioritize data products.
• Collaborate with engineering, design, and operations teams through development and iteration.
• Prioritize and manage the product backlog based on value and feasibility.
• Track and report key product metrics to drive continuous improvement.

Skills

Product Management

Data products

AI-powered products

Analytics concepts

SaaS experience

Education

Bachelor's degree or equivalent

CS/Engineering/Statistics background advantageous

Job description

The Company

Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.

Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.

Our People are

Bold, Authentic, Purposeful and Inspired

Our People are not About the Role

Perfect, Traditional, Complacent or Cautious

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?

Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean?

• Flexible PTO. Taking time out is important for our teams to enjoy life and stay fresh.
• Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.
• Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.
• Social Initiatives - pictures speak a thousand words!

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.