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Aledade

Builds software and networks for primary care

Senior Technical Product Manager - AI Data Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 8 years of product management experience in technology, technology-enabled services, or a software-as-a-service product.
  • Robust understanding of artificial intelligence, machine learning, and related technologies.
  • Experience using data and primary research to inform solution design and build internal business understanding.
  • Experience working with Agile teams, Jira, and the software development lifecycle.
  • Strong understanding of application programming interfaces, DevOps, enterprise software development, cloud infrastructure such as Databricks, Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and data engineering principles.
  • Ability to communicate technical trade-offs to non-technical stakeholders.
  • Ability to translate ambiguous product requirements into a technical roadmap.

Responsibilities

  • Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities, and ideal end state, and articulate and advocate for that perspective.
  • Lead the full lifecycle of machine learning and large language model platform workstreams, from data ingestion, training, and deployment through ongoing optimization of live user workflows based on performance metrics and feedback.
  • Work with internal teams and end users to understand requirements, perform solution design, use data to test hypotheses, and support teams throughout execution.
  • Write detailed user stories for new features, including business rationale, requirements, and success criteria defined by measurable outcomes.
  • Develop short- and long-term roadmaps that deliver maximum value with minimum risk and support ongoing iteration.
  • Partner with artificial intelligence researchers to mature proofs of concept into production-ready capabilities.
  • Explore user feedback, healthcare records, and validation data hands-on to validate model performance.

Desired Qualifications

  • Experience working on or leading products for an artificial intelligence or machine learning platform team and building a platform to scale vertically and horizontally.
  • Track record of building and launching artificial intelligence or machine learning platforms, tools, or internal services that enable other product teams.
  • Deep understanding of the artificial intelligence and machine learning product lifecycle, machine learning operations, and scalable artificial intelligence infrastructure, including model training, deployment, monitoring, observability, and reliability.
  • Experience with large language models and generative artificial intelligence technologies, including prompt engineering strategies and vision-language models.
  • Experience working as a data scientist or backend engineer.
  • Ability to translate technical concepts and platform capabilities into value propositions and communicate them through storytelling to diverse internal stakeholders.
  • Familiarity with electronic health record data, claims data, or population health datasets.
  • Experience in a healthcare technology environment, including physician-facing products or work with clinical datasets such as electronic health record, claims, or population health datasets.

About the Company

Aledade

Builds software and networks for primary care

Aledade builds software and manages accountable care organizations for independent primary care practices, community health centers and health systems. These networks let clinicians earn a share of the money saved by improving care and avoiding unnecessary treatment while retaining ownership of their practices. Its platform combines patient records and insurance claims to flag care gaps, and local teams coach practices on preventive care and contract performance. The company negotiates contracts with government and commercial health plans and earns a share of the financial rewards generated by its partners. Aledade was founded in 2014 and is headquartered in Bethesda, Maryland.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$1.2B
Headquarters
Bethesda, MD
Founded
2014

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