Aledade29d ago

Senior Technical Product Manager - AI Platform, Remote

United StatesRemoteFull Timesenior

Product ManagementData ScienceProduct ManagerTechnical Product Manager

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Overview

Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services,

Technical Tools

Product ManagementData ScienceProduct ManagerTechnical Product Manager

Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront of this mission, building foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade’s products and develop powerful internal AI solutions.

As a Senior Technical Product Manager on the AI Platform team, you will:

Define and deliver the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products.
Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI.
Partner closely with AI engineers, data scientists, and clinical leadership to deliver production-grade systems that support reliable inference pipelines across millions of patient records.
Contribute to the improvement of quality and cost of care for over 2 million patients served by Aledade providers.

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.

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.

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).

Sitting for prolonged periods of time. Extensive use of computers and keyboards. Occasional walking and lifting may be required.