Responsibilities:

• Lead discussions to align stakeholders on the vision, strategy, and execution plan for our AI/ML pricing models to deliver against our business goals

• Collaborate with business intelligence, data engineering,  data science, machine learning engineering, and other cross-functional leaders to identify and define meaningful user segments where pricing is a lever to improve conversion

• Clearly define the use cases and business requirements that we want to and should solve for to deliver a personalized pricing experience to users through ML recommendation models

• Identify opportunities where AI/ML can be applied to gain efficiencies and scale to our current pricing processes

• Define success KPIs and instrument processes to measure and report progress on goals

• Engage and cultivate relationships with product partners to influence cross-team development and manage risks or trade-offs

• Ensure consumer privacy laws, such as state-specific health data restrictions or needs, are represented in the product strategy and roadmap

• Work with internal stakeholders and external partners to create a robust and scalable platform taking into account underlying infrastructure or technology that supports a range of services. 

Skills and Qualifications:

• Minimum of 7 years of product management experience with at least 3 years focused on AI/ML models and related products 

• Experience in utilizing complex datasets to conceptualize, build, and launch large-scale Pricing

• Strong analytical skills and experience using quantitative and qualitative data to drive your product and business decisions

• Excellent communication skills (verbal and written) and managing stakeholder expectation and alignment at all levels.

• Experience with system interoperability, API development, data security, and overall ML system architecture a plus

• Ready to really stand out?  It is highly preferred that you have a technical degree in Engineering, Computer Science or a Data Science related field, and experience leading AI/ML product strategy and execution.

Preferred Skills and Experience:

• General data analysis experience (SQL, Python, etc.)

• Experience working in the healthcare/healthtech space with attention to consumer data privacy