Senior Product Manager, AI/ML Model Development

SmarterDx is a company focused on transforming healthcare with clinical AI solutions. As a Senior Product Manager, you will lead the strategy and development of product offerings, working closely with cross-functional teams to enhance user experience and drive business success.

Responsibilities:

• Gain a deep understanding of the SmarterDx user and buyer market
• Prioritize and evaluate cutting edge research and experimentation against product and business goals
• Engage with customers to understand their workflow needs, gather feedback, and identify opportunities for product improvements
• Write, standardize, and maintain product and technical documentation and role-model strong project management practices
• Define, track, and report on key success metrics to measure product performance and adoption
• Develop a roadmap of product enhancements, features, and solutions to continue to innovate and evolve the product
• Identify opportunities to enable teams to move more quickly by understanding constraints and trade-offs
• Lead cross functional team of engineers, data scientists, and designers through the product development lifecycle from inception to launch of new features
• Communicate your strategic vision for the product to cross functional stakeholders, working closely with leadership to ensure alignment
• Understand interactions and impact between multiple simultaneous experiments, discern outcomes, and decide the best strategic path forward

Requirements:

• 2-3+ years of product management experience
• Experience building tools and features that serve a single product and scale effectively to a full product suite
• Ability to translate highly technical work and requirements into business goals and impact, and vice versa
• Experience working at an early-stage company or similarly fast-paced environment
• 2-3+ years of experience working within the healthtech space, ideally in RCM and/or B2B products
• Experience working cross-functionally with engineering, data science, and other technical teams to drive product success
• Experience managing both external and internal (Customer Success, Implementations, etc.) stakeholders
• Experience as a software engineer, data engineer, or equivalent
• Proficiency in SQL