Director of Product, Clover R&D

New

CloverHealth insurance

Location: Remote - USAFull-TimeDirector

Salary$207,000 — $270,000 USD

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Job Details

Required Skills: Artificial IntelligenceData AnalysisProduct ManagementProduct OperationsRESTful APIsPrototyping

Have led and developed product managers while remaining personally involved in discovery, prioritization, and difficult product decisions.
Have built or substantially shaped a product function and be comfortable starting with a small team and an evolving remit.
Have improved products used in real operational workflows and connect software, human work, business economics, and adoption.
Use AI heavily in your own work and have a practical view of its capabilities and limitations.
Be technically fluent in systems, APIs, data, and AI behavior.
Be able to independently investigate an idea, build and test a prototype, and run a bounded experiment using AI.
Understand the architectural implications of the products you help design.
Use research, data, and experiments to make decisions and distinguish observations from evidence strong enough to act on.
Work effectively with engineers who exercise broad judgment and operating leaders who own their businesses.
Build trust through direct relationships and clear decisions.

Build and develop the product team through hiring, feedback, coaching, and growth of product judgment.
Establish a product and engineering culture focused on incremental progress, measurable outcomes, stakeholder communication, and AI-forward productivity.
Understand member journeys across plan and clinical operations by observing work and reviewing interactions and data.
Choose focused product missions with business and engineering partners, define success, establish baselines, and test assumptions.
Investigate ambiguous opportunities and turn them into a clear problem, evidence of value, a plausible approach, and a first delivery or learning milestone.
Develop an embedded Product Operations function connecting frontline observation, testing, training, and adoption to product and engineering decisions.
Partner with product leaders, Special Project Leads, clinical leaders, and operating owners to clarify ownership across shared journeys and capabilities.
Use AI to investigate ideas, build and test prototypes, and run bounded experiments; work with engineering and operating owners to take promising experiments into production.

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