Staff Product Manager - Liability

Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.

At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.

We’re looking for a strategic and driven Staff Product Manager to lead the vision, roadmap, and execution of products that powers liability determination. This role focuses on building product systems that help insurers evaluate fault, responsibility, and exposure in the face of incomplete information, conflicting evidence, and jurisdictional complexity.

You’ll work at the intersection of decision science, product design, and insurance domain expertise, building tools that support consistent, explainable, and scalable liability decisions across high-volume claims environments.

📈 Define and own the product strategy and roadmap for liability determination products, aligning customer needs, regulatory requirements, and business outcomes.

🚗 Design product solutions for liability determination, including:

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  Evaluating fault across multi-party accidents

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  Incorporating evidence such as statements, photos, diagrams, police reports, and third-party data

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  Handling partial, disputed, or evolving information

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  Supporting jurisdiction-specific rules and comparative negligence models

🔄 Lead the full product lifecycle, from discovery and problem framing through delivery, iteration, and scale—particularly for products that encode complex logic, judgment, and edge cases.

🤝 Partner closely with engineering, data, design, and claims experts to translate real-world liability workflows into scalable, intuitive product experiences.

📊 Use data, experimentation, and feedback loops to improve decision quality, consistency, speed, and explainability over time.

💡 Build systems that balance automation and human judgment, including decision-support tools, rules engines, and human-in-the-loop workflows.

🎯 Create clarity in ambiguity, communicating complex liability logic, tradeoffs, and confidence levels to both internal stakeholders and end users.

🧭 Ensure decisions are defensible and explainable, supporting auditability, regulatory review, and customer trust.

🏆 Experience building products that support complex adjudication or decision-making, ideally in insurance, risk, fintech, or other regulated domains.

🚦 Strong understanding of liability determination, including fault assessment, comparative negligence, coverage considerations, subrogation implications, and jurisdictional variability or a demonstrated ability to ramp quickly in similarly complex domains.

🌟 Strategic product leadership, with the ability to zoom out to define vision and zoom in to resolve nuanced edge cases.

🤖 Technical fluency, especially around systems that involve rules, decision trees, data pipelines, or model-assisted recommendations.

📉 Analytical rigor, comfortable reasoning under uncertainty and evaluating outcomes where correctness is probabilistic rather than binary.

🗣️ Exceptional communication skills, able to explain how and why a liability decision was reached to technical, business, and operational audiences.

❤️ Strong user empathy, particularly for claims professionals and customers navigating high-stress, high-stakes situations.

🤝 Collaborative leadership style, influencing across disciplines and driving alignment without formal authority.

⚡ Resilience in ambiguity, thriving in problem spaces where inputs are messy, rules are complex, and decisions matter.