Senior Product Manager

About the Role

Key Responsibilities

• Own the Data Product Strategy: Define and execute the roadmap for Hi Marley’s internal and external data products—anchored in company and customer goals.
• Deliver Customer-Facing Insights: Lead the creation of dashboards and embedded analytics experiences that drive clarity and action across insurance workflows.
• Define & Prioritize Instrumentation: Collaborate with Product and Engineering teams to define, prioritize, and validate event tracking, product usage metrics, and other behavioral signals that support product decision-making.
• Ensure Data Accuracy & Completeness: Champion data trust by working with Analytics and Engineering to validate models, ensure reliable pipelines, and enable self-service access to trusted data.
• Support Business Intelligence & Internal Storytelling: Help stakeholders across the company turn data into decisions by designing intuitive metrics, scalable reporting, and proactive insights.
• Guide Infrastructure Investment: Work closely with Data Engineering to prioritize investments in pipelines, orchestration, and modeling that balance long-term scalability with near-term business needs.
• Drive Platform Collaboration: Act as a connective tissue between technical depth and product usability—bringing strong product thinking to internal platform tradeoffs and foundational data systems.
• Uphold Data Privacy & Governance: Partner with security, compliance, and legal teams to shape policies around data retention, secure delivery, access controls, and regulatory requirements.
• Collaborate Across Functions: Influence cross-functional priorities and bring together Engineering, Product, Compliance, Analytics, and Customer Success around a shared platform vision.
• Leverage AI to Add Value: Work with internal AI and product teams to enrich our insights with predictive and conversational intelligence.

Requirements

• 6+ years of Product Management experience, with a strong focus on data, analytics, or internal platform products.
• Proven ability to lead cross-functional product teams and collaborate across engineering, analytics, and compliance functions.
• Strong technical fluency—you understand data models, pipelines, orchestration, and can guide architectural tradeoffs.
• Experience delivering data products in B2B SaaS, ideally within a regulated industry.
• Familiarity with BI platforms such as Looker, Tableau, Power BI, or AWS Quicksight.
• A track record of simplifying complex data into intuitive and actionable experiences for customers and internal stakeholders.
• Comfort with data governance and lifecycle policies, including privacy, access management, and compliance standards.
• Ability to shape and influence long-term platform direction—not just reporting features.

Nice to Have

• Experience working within regulated industries.
• Knowledge of AI and conversational intelligence tools.