Director, Product Management

About the role

You own the end-to-end product strategy and execution for the Underwriting Engine, which is the most consequential system at Ethos. You will define how eligibility, pricing, and risk criteria are expressed and maintained within the rules infrastructure at scale. You will shape the roadmap for the knowledge graph that structures and enriches risk data for decisioning systems. You will lead the product vision and workbench tooling used by internal teams such as Actuarial and Underwriting to configure, test, and deploy changes safely. You will collaborate across Actuarial, Underwriting, Finance, and senior leadership in the US, Singapore, and India to build a durable product vision. In this high-trust, high-autonomy role, you will operate as a strong individual contributor while managing a small team of 2-3 PMs. You will connect complex technical platforms to clear business outcomes and champion AI/ML innovation in a domain where stakes are high and data is rich.

Key facts

What you'll do

• Define and own the decisioning rules infrastructure that determines eligibility, pricing, and risk criteria for the Underwriting Engine.
• Drive the product strategy for the knowledge graph that structures, enriches, and serves risk data to decisioning systems.
• Own the internal workbench tooling that enables Actuarial and Underwriting teams to configure, test, and deploy decisioning changes safely and efficiently.
• Translate complex actuarial and underwriting constraints into clear product requirements and crisp technical specifications for engineering.
• Collaborate with Actuarial, Underwriting, Finance, and senior leadership across the US, Singapore, and India to build a shared, durable product roadmap.
• Champion AI/ML innovation within underwriting, identifying opportunities where models can improve accuracy, speed, and coverage.
• Partner with data science and engineering teams to operationalize AI/ML models into production workflows with measurable impact.
• Ensure that accuracy, fairness, and speed are treated as core product outcomes, not just engineering metrics.
• Protect families by delivering reliable life insurance decisions that are precise, transparent, and aligned with regulatory expectations.
• Prioritize high-leverage investments in a complex domain, filtering out noise and focusing the team on outcomes that matter most.
• Design experiments, analyze model outputs, and use data to drive prioritization without outsourcing judgment to dashboards.
• Communicate strategy and tradeoffs in writing and verbally with precision and conciseness to diverse stakeholders.
• Present confidently to senior leadership across regions while maintaining clarity and alignment on product vision.
• Operate as an operator who leads by unblocking teams, setting direction, and fixing issues when they arise.
• Build credibility as a technically fluent product leader who can make build-vs-buy decisions and spot architectural risks early.

Requirements

• You manage a small team but remain deeply involved in the work yourself, setting direction and holding the bar on quality.
• You can walk into a conversation with a senior actuary and understand their constraints, then translate them into a product brief for engineering.
• You are comfortable in data-heavy environments where decisions have real downstream consequences for families and carriers.
• Your written and spoken communication is precise and concise, enabling alignment across Actuarial, Engineering, and Finance.
• You have a strong filter for what matters, consistently identifying the highest-leverage investments in a domain with near-infinite complexity.
• You have worked with systems of comparable complexity, such as rules engines, knowledge graphs, ML pipelines, and decisioning systems.
• You are technically credible enough to make good build-vs-buy decisions and spot architectural risks early.
• You have a proven track record in adjacent regulated domains, such as credit, fraud, healthcare, or risk, where complex data meets high-stakes decisions.
• Insurance experience is welcome but not required; what matters is the pattern of building data-heavy decisioning platforms under compliance and regulation.
• You are an equal opportunity operator who thrives in fast-paced, structured environments with evolving requirements.

Nice to have

• Experience in life insurance or financial services technology platforms.
• Hands-on experience with rules engines, knowledge graphs, or decision management systems.
• Familiarity with AI/ML workflows in underwriting or risk assessment contexts.
• Background in building or scaling internal tooling for Actuarial or Underwriting teams.
• Track record of influencing cross-functional stakeholders in global organizations.