Product Manager, Data & AI

New

JobgetherHealthcare technology

Based in the United StatesFull-TimeMiddle

SalaryEstimated annual base salary: $160,000–$180,000 USD, depending on experience and qualifications. Generous equity package

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Job Details

Minimum of 3 years of product management experience, including product discovery, development, execution, and delivery against performance objectives.
Strong understanding of first-party data, audience segmentation, attribution, conversion tracking, and closed-loop measurement.
Hands-on experience using AI-powered tools and workflows, including LLMs, coding assistants, and data agents.
Understanding of AI limitations and ability to implement evaluation frameworks, quality controls, and human oversight.
Commercial and business acumen to assess market opportunities, estimate revenue potential, and validate customer willingness to pay.
Ability to define customer problems, conduct discovery, and translate business needs into product strategies and actionable requirements.
Analytical skills to define measurable outcomes, interpret performance metrics, and use insights to guide product priorities.
Experience collaborating with engineering, design, customer-facing teams, and marketing stakeholders.
Ability to own product initiatives from concept through launch, adoption, and ongoing optimization.
Healthcare technology, healthcare marketing, or privacy-regulated data experience is an advantage; familiarity with HIPAA is preferred.
Conversion optimization, experimentation, or marketing analytics product experience is beneficial.
Familiarity with Google Analytics, Google Ads, and Meta is an advantage.

Lead development of data-driven products that improve marketing performance for healthcare organizations.
Transform customer data into insights about patient behavior, conversion opportunities, and marketing decisions.
Identify capabilities that use compliant first-party data while protecting sensitive health information.
Drive the product lifecycle from discovery and problem definition through prototyping, validation, prioritization, development, launch, and improvement.
Partner with engineering to define product requirements, evaluate technical solutions, and prioritize development.
Use AI tools, LLMs, coding assistants, and data agents to research, prototype, analyze, and validate product ideas.
Establish evaluation frameworks and human review processes for reliable AI-powered features.
Assess commercial opportunities, revenue potential, and customer willingness to pay; define positioning, packaging, and go-to-market strategies.
Work with Account Management and Customer Success to support adoption, activation, and customer value.
Set success metrics and use customer feedback and product performance data to guide improvements.

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