Senior Technical Product Manager - AI Innovation, Remote

Aledade is dedicated to transforming value-based care through innovative technology and empowering independent primary care. The Senior Technical Product Manager on the AI Platform team will define and deliver AI/ML platform roadmaps, guide machine learning and LLM workstreams from data ingestion through deployment, and partner with technical and clinical stakeholders to scale AI solutions into production.

Responsibilities:

• 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

Requirements:

• • 8+ 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
• • Sitting for prolonged periods of time. Extensive use of computers and keyboards. Occasional walking and lifting may be required
• • Experience in healthcare technology environments, particularly physician-facing products or work with clinical datasets (EHR, Claims, Population Health datasets)
• • Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets
• • Demonstrated track record of taking products from 0 to 1, driving concepts from ideation through market launch and scale
• • 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
• • Fluency in translating technical concepts into value propositions and storytelling for diverse stakeholders