Senior PM, AI Data Platform for Healthcare

Aledade

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Remote-first
Flexible schedules
PTO 168 hours
Parental leave 12 weeks
Medical, dental, vision
401(k) with match
Stock options
Sabbatical

Job summary

Aledade is seeking a Senior Technical Product Manager for the AI Data Platform to define and deliver roadmap, enabling production-grade agentic retrieval and context graph solutions for value-based care workflows.

You will collaborate across ML systems, data engineering, and clinical leadership to scale AI-driven tools, improving data access for internal stakeholders and external AI products, while focusing on production-grade reliability and impact.

Qualifications

  • Robust understanding of AI/ML product lifecycle and related technologies.
  • Experience with Agile teams, Jira, and understanding of the software development lifecycle.
  • Able to translate ambiguous product requirements into a technical roadmap.
  • Experience using data and primary research to inform solution design and internal understanding.

Responsibilities

  • Define and deliver the roadmap for the AI Data Platform to scale products.
  • Collaborate with AI engineers, data scientists, and clinical leadership.
  • Lead ML/LLM platform workstreams from data ingestion to deployment and optimization.
  • Write detailed user stories with clear business rationale and success criteria.
  • Develop short- and long-term roadmaps to maximize value with manageble risk.
  • Mature proofs-of-concept into production-ready capabilities.
  • Validate model performance using data and stakeholder feedback.

Skills

Agile methodologies
AI/ML product lifecycle
Communication/storytelling
Data-driven requirements
EHR data familiarity

Tools

Jira
Cloud platforms

Job description

Aledade is seeking a Senior Technical Product Manager for the AI Data Platform to define and deliver roadmap, enabling production-grade agentic retrieval and context graph solutions for value-based care workflows.

You will collaborate across ML systems, data engineering, and clinical leadership to scale AI-driven tools, improving data access for internal stakeholders and external AI products, while focusing on production-grade reliability and impact.

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