Senior Product Manager

Remote, US-based. Full time

About the Role

Every day, pet owners walk out of a vet's office having just said no to a treatment their pet needed, not because they didn't care, but because they couldn't afford it. Pawlicy Advisor exists to eliminate this problem. Pawlicy Advisor is a profitable venture-backed startup building the infrastructure that connects pet owners to the right financial protection for their pets, starting with the most trusted pet insurance marketplace in the US, distributed through thousands of veterinary practices nationwide.

The company has delivered over 1 million unique quotes, has raised $19M+, has found product-market fit, and is now scaling. Pawlicy Advisor is hiring a Senior Product Manager to own day-to-day product execution: what gets built, why, and how success is measured. You will own the backlog, design and analyze the A/B tests that drive conversion and revenue, and be the product voice with the insurance carriers and partners that power the marketplace.

This is a high-ownership, high-visibility role reporting directly to the Chief Product Officer, on an outstanding team of five engineers, a data analyst, a senior product designer, and an engineering manager.

What You Own

Product Prioritization

Determine what engineering builds each sprint, prioritizing features, experiments, tech debt, and requests by expected impact vs effort.

Organize and define the backlog, keeping it refined and keeping engineering focused on the highest priority items.

Write well-scoped tasks with clear requirements and acceptance criteria.

Triage incoming bugs: assess severity, reproduce, prioritize, and route to the right owner.

Product Development

Set requirements for A/B tests, build dashboards to monitor results, call statistical significance, and decide ship, iterate, or kill.

Write product one pagers framing the problem, opportunity, proposed solution, and success metrics before work is committed.

Ensure timelines are met for key projects and features.

Keep internal stakeholders updated on project progress, priorities, and data results, including the roadmap and reasoning behind next steps.

Partner with design on user research and competitive analysis.

Partnership Support

Work closely with each insurance carrier partner to handle outstanding requests, integration changes, and performance reporting.

Represent Product in D2C and vet partnerships to scale the business and outline timelines.

Proactively identify new business and Product opportunities by contextualizing partner needs with internal OKRs, learnings and roadmaps.

Manage the partner report intake process for off-site policy attribution.

Where You Partner

Engineering: sprint scope, priorities, and delivery with the engineering manager; tasks scoped so engineers can build without a meeting.

Design: user research and competitive analysis with the senior product designer.

Data and analytics: experiment design, dashboards, and significance calls with the data analyst in Mixpanel.

Partnerships and leadership: carrier requests, integration changes, performance reporting, and strategizing on opportunities alongside the Partnerships lead and the CEO.

What Success Looks Like

First 90 days

The backlog is refined, prioritized by impact vs effort, and engineering is focused on the highest priority items.

The A/B testing cadence is running: requirements, dashboards, significance calls, and ship, iterate, or kill decisions.

Initial product roadmap based on OKRs for the company is shared with the team

Stakeholders receive regular updates on progress, priorities, and data results, including the roadmap doc.

First 12 months

Conversion is measurably improved, with a documented record of tests shipped, iterated, and killed.

Carrier partners treat product as a responsive, trusted counterpart.

Specs and one pagers set the bar: engineers build from them without a meeting.

User research runs continuously and changes what gets built.

Product OKR reporting is consistently transparent, dependable, and easily accessible

Pawlicy team members understand Pawlicy’s Product roadmap and annual Product plans

Requirements

• 5-7 years of product management experience, ideally at an early stage startup or fast-moving environment.
• Experience optimizing conversion in a B2B2C platform or marketplace: you understand the funnel, the levers, and how to move them.
• Deep fluency with A/B testing, from designing experiments to extracting real signal from results (Mixpanel or similar analytics experience a plus).
• A track record of ruthless data- and OKR-driven prioritization and decision making.
• Strong external communication skills: comfortable owning relationships with enterprise partners and representing Product in external conversations.
• A genuine love of user research: you talk to users a lot, and let those conversations change your mind.
• Legally authorized to work in the United States without sponsorship.
• Preferred: experience in insurance or fintech. Extra points if you love animals and believe pet healthcare is a serious, underserved problem.
• How You Work
• You do your best work with real autonomy: you set your own agenda as the only PM, with no one checking your work daily.
• You ship things that started as your own idea and generate roadmaps rather than inherit them.
• You hold strong opinions, loosely held: a clear point of view on how to solve user problems without being precious about it.
• You push back, disagree, and align without it becoming political.
• You thrive in a high pace environment.
• You use AI tools daily to compound the company’s output.
• AI and the Hiring Process
• We embrace AI at Pawlicy and our work still relies on what the humans bring to it.
• So please leave the AI out of interviews and case studies. Prep with it all you like, but in the room, we want your thinking, your questions, your judgment. These stages exist so we can get to know you and how you'd work with our team. We're hiring you, not a model and it is you we want to see.
• To be concrete: no AI assistants or chatbots on any device during interviews, and nobody else feeding you answers. Spell-check, autocomplete and notes you wrote yourself are all completely fine.
• If it turns out AI was used where we've asked you not to, it may end your candidacy.
• If any part of our process is a barrier because of how you read, write or communicate, email careers@pawlicy.com before that stage and we'll talk through the options. The skills we're assessing stay the same; what changes is the format. Asking has no bearing on how we assess you.