Staff Product Manager

Coalition, Inc. is the world's first Active Insurance provider focused on preventing digital risks. The Staff Product Manager for Claims Experience will enhance claims handling efficiency by driving automation and tooling investments, collaborating with cross-functional teams to deliver impactful product solutions.

Responsibilities:

• Define and evolve the claims experience strategy Develop and maintain a clear product strategy and roadmap for Coalition's claims experience, with a strong emphasis on operational efficiency spanning workflow tools, automation, ML-powered insights, and customer-facing experiences
• Lead complex software migrations and platform evolution Drive end-to-end product work for major systems migrations, including discovery, planning, rollout, change management, and measurement of impact in close partnership with your engineering team. Building the durable platform foundation that lets Coalition scale claims operations
• Serve internal customers with a strong customer experience mindset Work closely with internal users — claims professionals, operations, finance, actuarial to deeply understand their workflows and pain points. Design tools that meaningfully reduce manual overhead and increase team capacity, with a clear line of sight to the broker and policyholder experience that depends on them
• Leverage AI and automation across the product lifecycle Use AI consistently across core product tasks from ideation to execution to empower your team and get more done. Partner with engineering and data science to design scalable automation paths within the claims experience
• Own requirements, documentation, and cross-functional communication Create detailed use cases, write clear and actionable product requirements, and articulate the benefits and trade-offs of features for engineering, claims, operations, sales, marketing, and leadership audiences
• Make data-informed decisions Use both quantitative and qualitative data to define success metrics, prioritize initiatives, and make thoughtful trade-offs between competing goals and constraints
• Lead intricate, cross-functional initiatives Direct complex projects that span multiple teams and systems, coordinating stakeholders, managing dependencies, and ensuring on-time, high-quality delivery

Requirements:

• 7+ years of experience building and shipping software products, ideally in SaaS, fintech, or related domains
• Demonstrated track record of taking products or major features from zero to meaningful customer benefit, including defining the problem, validating solutions, and iterating post-launch
• Proven experience leading migrations or systems transformations (for example, claims platforms, workflow tools, or other critical internal/enterprise systems)
• Strong customer experience sense, with a demonstrated ability to deeply understand internal workflows while maintaining clear sight of the end-customer experience
• Demonstrated ability to use AI tools as part of daily product work, with a willingness to learn and expand knowledge in this domain
• Exceptional written and verbal communication skills, with the ability to explain complex technical and operational concepts to diverse stakeholders and guide discussions to actionable decisions
• Measured success delivering against company and strategic goals, with clear examples of impact on both customer outcomes and business metrics
• Ability to balance short-term execution with long-term platform and experience investments
• Comfort with change and ambiguity; experience operating in rapidly growing and evolving environments
• Strong influence skills and collaborative mindset, with a track record of driving alignment across diverse stakeholders without relying on formal authority
• Experience with the business of insurance or other regulated financial products (underwriting, policy administration, claims, or compliance-heavy workflows)
• Experience with enterprise systems used by internal operations teams, such as Salesforce, NetSuite, or similar platforms
• Prior work with Data Science and ML teams, including designing products that use predictive models, risk scores, or automated decisioning while managing operational and regulatory considerations
• Familiarity with cyber risk, security operations, or incident response workflows