Primary Duties:
- Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities, and ideal end state, and be able to articulate and advocate for this perspective.
- Lead the full lifecycle of ML and LLM platform workstreams—from data ingestion, training, and deployment to ongoing optimization of live user workflows based on performance metrics and feedback.
- Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution.
- Write detailed user stories for new features, capturing descriptions of business rationale, requirements, and success criteria defined by measurable outcomes.
- Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.
- Partner with AI Researchers to mature proofs-of-concept into production-ready capabilities; perform exploration of user feedback, healthcare records, and validation data to validate model performance.
Minimum Qualifications:
- 6+ years of product management experience in technology, technology-enabled services, or SaaS.
- Strong understanding of artificial intelligence and/or machine learning technologies.
- Experience using data and primary research to inform solution design and build business understanding.
- Familiarity with Agile teams, Jira, and the software development lifecycle.
- Knowledge of APIs, DevOps, enterprise software development, and cloud infrastructure (e.g., Databricks, AWS, GCP, Azure).
- Understanding of data engineering principles.
- Ability to communicate technical trade-offs to non-technical stakeholders.
- Skilled at translating ambiguous product requirements into a technical roadmap.
Preferred Knowledge, Skills and/or Abilities:
- Experience leading AI/ML platform products and scaling platforms vertically and horizontally.
- Track record of building and launching AI/ML platforms, tools, or internal services.
- Deep knowledge of AI/ML product lifecycle, MLOps, and scalable AI infrastructure (training, deployment, monitoring, observability, reliability).
- Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs.
- Background as a data scientist or backend engineer.
- Fluency in translating technical concepts into value propositions and storytelling for diverse stakeholders.
- Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets.
- Experience in healthcare technology environments, particularly physician-facing products or work with clinical datasets (EHR, Claims, Population Health datasets).
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboards. Occasional walking and lifting may be required.
Top Skills
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
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