Technical Product Manager

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. As a Technical Product Manager, you will own the product direction for a Pod, engaging with brokers, carriers, and customers to drive initiatives and ensure business outcomes. Your role will involve breaking down initiatives into projects, collaborating with engineering leads, and leveraging AI to redesign workflows.

Responsibilities:

• Own the roadmap for a Pod. Discover the problems worth solving by talking directly to brokers, carriers, internal partners, and customers
• Turn business intent into initiatives that move the metrics. Pitch them into the planning cycle. Defend the sequencing. Earn the resources
• Own the business outcomes. Track the metrics. Report progress. Kill initiatives that are not working
• Break each initiative into concrete launchable units: projects that ship something real
• Write the high-level product requirements for each project. Enough detail to plan, size, and staff. Not a full specification. The Project Lead rounds out the rest
• Check with the other Technical Product Managers before locking an approach: is anyone solving a similar problem, and can we solve it once instead of twice
• Partner with your Engineering Lead, who writes the high-level technical requirements for the same projects. You own what and why. They own how, at the system level
• Roll projects up to a rough t-shirt size (multi-month or single month). For multi-month projects, define what is achievable within one month
• Run the product review for each funded project. The Project Lead plays back the rounded-out requirements. You confirm the project solves the right problem, the experience fits, and the scope holds. Bring in other Technical Product Managers when the project touches their Pods. Then development begins
• Stay available as the Project Lead checks in and iterates. Answer questions fast. Do not become a standing meeting
• Define where AI should own the workflow, where humans stay in the loop, and where human judgment is non-negotiable. This is not an add-on to the role. It is the core of the role at Counterpart
• Own what happens when the AI gets it wrong. Design the fallback. Define the escalation. Build the feedback loop
• Evaluate prototypes and ideas from across the company. Determine which have the business case, technical feasibility, and strategic fit to become initiatives. Kill the ones that do not
• Ensure adoption of what your Pod ships. Documentation, training, demos, and office hours are part of the job
• Monitor usage and business outcomes. Use data to identify what to double down on, what to cut, and what to build next

Requirements:

• Experience owning a product area in an insurtech, B2B SaaS, or regulated industry. You have made and defended prioritization calls, including cutting good ideas that did not fit
• A track record of driving adoption, not just launches. You measure what happens after the feature ships
• Experience owning a product area where the core workflow was being redesigned by AI, not just augmented. You made decisions about where humans stayed in the loop and why
• Enough technical fluency to work closely with engineers building with AI tools. You do not need to write code. You need to understand system boundaries, data flows, and trade-offs well enough to have a real conversation with your Engineering Lead
• Comfort using AI tools in your own workflows
• The ability to translate between business stakeholders and engineers without losing meaning in either direction
• Domain curiosity about insurance. You either understand the Managing General Agent (MGA) model or you are motivated to learn it
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of product decisions
• Experience working with distributed, remote teams