Senior Product Manager
Job description
About the role
This role defines and delivers product strategy for insurance claims processing, converting complex workflows into digital solutions. The team enables large insurers to execute modern, technology-driven operations through structured product initiatives. You will own the end-to-end lifecycle of claims-related features, from discovery and requirements to delivery and measurement in production environments. The position requires translating intricate operational realities into coherent product narratives that align engineering efforts with commercial outcomes. You will act as the central connective tissue between technical constraints and business ambitions for claims platforms. Success in this role will be measured by your capacity to drive adoption, improve processing efficiency, and reduce friction for both internal teams and external insurance customers. You will continuously validate hypotheses, refine roadmaps, and pivot based on data and stakeholder feedback to ensure the product remains competitive and compliant. The work demands intellectual rigor, empathy for user pain points, and a methodical approach to solving ambiguous problems in a heavily regulated domain.
Key facts
5+ years of product management experience in high-growth SaaS environments is required to consistently deliver impactful features in complex settings. Candidates must demonstrate this capability in insurance-related contexts.
Customer-facing technical experience, such as TAM, Implementation Specialist, or CSM roles, is a significant advantage. This background provides context for insurance workflows and stakeholder management for implementation and onboarding.
A talent for simplifying complexity and translating customer challenges into actionable requirements is essential. The role demands clear articulation of needs to diverse audiences during discovery and execution.
A proven track record of cross-functional collaboration ensures alignment with engineering, design, and operations teams. Professionals operate effectively within distributed, fast-paced teams handling life at scale across claims payments.
Strong communication skills enable productive engagement with customers and internal stakeholders. Written and verbal clarity supports decision-making and reduces ambiguity for product direction.
Comfort in fast-paced, evolving settings where ownership and initiative shape outcomes is necessary. Professionals thrive when responsibilities change and new challenges emerge in dynamic environments.
Practical notes
Only engage with recruiters through these confirmed pathways and Typical interview steps
Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.
What you'll do
Analyze end-to-end claims workflows to identify inefficiencies and define product requirements that translate operational needs into technical specifications.
Partner with engineering squads to translate ambiguous insurance problems into well-scoped epics, user stories, and acceptance criteria that can be iterated upon in sprints.
Conduct discovery sessions with insurance customers and internal stakeholders to gather qualitative insights, validate assumptions, and prioritize competing demands.
Own the product roadmap for claims processing features, balancing short-term delivery pressures with long-term strategic bets and regulatory considerations.
Define and track key product metrics such as cycle time, error rates, and stakeholder satisfaction to measure the impact of shipped features.
Collaborate with design partners to prototype user experiences, ensuring that complex claim interfaces remain intuitive for adjusters, approvers, and administrators.
Evaluate emerging technologies and vendor solutions to determine fit for integration into the claims platform while managing technical debt and scalability.
Synthesize feedback from production incidents and support channels to inform iterative improvements and new feature hypotheses.
Represent product decisions during cross-functional ceremonies, ensuring that rationale is documented and understood by engineering and operations teams.
Champion compliance and data governance requirements, working with legal and risk teams to ensure that product changes adhere to industry regulations.
Coordinate with implementation and onboarding teams to ensure smooth rollout plans, training materials, and contextual documentation for new claims features.
Drive experiments and A/B tests to validate hypotheses about user behavior and process improvements in real insurance environments.
Maintain a living understanding of the insurance claims landscape, including competitors, market trends, and emerging regulatory shifts that could impact product strategy.
Serve as the primary point of contact for stakeholders seeking clarity on product capabilities, timelines, and trade-offs related to claims processing software.
Requirements
5+ years of product management experience in high-growth SaaS environments is required to consistently deliver impactful features in complex settings. Candidates must demonstrate this capability in insurance-related contexts.
Demonstrated experience working with insurance claims systems, processes, and regulations is mandatory to ensure product decisions are grounded in operational reality.
A background in customer-facing technical roles such as TAM, Implementation Specialist, or CSM is strongly preferred to bridge gaps between technical teams and stakeholders.
Exceptional written and verbal communication skills are required to articulate requirements, trade-offs, and rationale to both technical and non-technical audiences.
Comfort working in ambiguous, fast-paced environments where priorities shift and problems lack clear precedents is essential.
Strong analytical skills are necessary to interpret data, identify patterns, and make evidence-based product decisions in regulated contexts.
The ability to collaborate effectively with distributed teams using agile methodologies is non-negotiable for maintaining alignment and delivery momentum.
A commitment to continuous learning about insurance products, regulations, and technology trends is required to maintain relevance and credibility within the industry.
Nice to have
Experience with claims adjudication, payment integrity, or policy administration platforms is preferred.
Knowledge of insurance regulations such as HIPAA, GDPR, or state-specific compliance frameworks is advantageous.
Familiarity with agile estimation techniques, backlog refinement, and sprint planning practices.
Understanding of data analytics tools and methods for measuring product performance in production.
Experience with API integrations and third-party vendor management in enterprise software contexts.
Practical notes
Only engage with recruiters through these confirmed pathways and Typical interview steps
Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.