SmarterDx is a company focused on transforming healthcare through clinical AI. As a Senior Product Manager for the ML Platform, you will lead the strategy and development of the platform, collaborating with engineering, data science, and product teams to optimize machine learning initiatives and enhance product performance.
Responsibilities:
- Lead the planning and prioritization of ML platform initiatives, balancing cross-team impact and advancing model training, deployment, monitoring, and scalability
- Define and operationalize success metrics for platform performance, system monitoring and adoption
- Own the prioritization of work and decisions on the systems that support LLM workflows (prompt iteration, retrieval, fine-tuning)
- Experienced with API-based LLM usage where iteration, speed and eval loops matter most
- Partner closely with Data Science and ML Engineering, with a strong emphasis on the Machine Learning lifecycle
- Drive stakeholder alignment across complex data systems (Airflow pipelines, LLM/agentic tooling) and communicate broader business impact
- Contribute to evolving modeling strategies, productizing and generalizing the work to be consumable and accelerate growth across teams
- Prioritize and enable cutting edge research and experimentation against product and business goals
- Write, standardize, and maintain product and technical documentation
- Develop a roadmap of product enhancements, features, and solutions to continue to innovate and evolve the platform
- Identify opportunities to enable teams to move more quickly by understanding constraints and trade-offs
- Lead cross functional team of engineers, data scientists, and product managers through the product development lifecycle from inception to launch of new features
- Communicate your strategic vision for the platform to cross functional stakeholders, working closely with leadership to ensure alignment
- Understand interactions and impact across multiple products and decide the best strategic path forward
Requirements:
- 2-3+ years of product management experience, focused on internal technical product management
- 2-3+ years working with Data Science and ML products and tooling
- Experience building internal and platform tools and features that serve 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
- Awareness of GPU constraints (job scheduling, cost, GPU availability)
- 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
- 2-3+ years of experience working within the healthtech space, ideally in RCM and/or B2B products
- Experience as a software engineer, data scientist, or equivalent
- Proficiency in SQL
- Familiarity with tools like Datadog, Hex