Aledade is dedicated to transforming value based care through innovative technology. Our AI Platform team is at the forefront, building the foundation 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 Principal Technical Product Manager on the AI Platform team, you will be instrumental in defining and delivering the roadmap to drive the execution and scale of our AI Platform that supports internal stakeholders and external AI Products. You'll work at the intersection of machine learning systems, data engineering, and applied healthcare AI, partnering closely with AI engineers, data scientists, and clinical leadership to develop production grade systems that support reliable interference pipelines across millions of patient records. Your contributions will help improve quality and cost of care for over 2 million patients who are treated by Aledade providers.
Primary Duties:
- Work with product, engineering, and teams 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 the 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 detailed descriptions of business rationale, requirements, and success criteria that are 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 hands-on exploration of user feedback, healthcare records and validation data to validate model performance.
Minimum Qualifications:
- 12+ years of experience in product management in technology, technology-enabled services industry, or a SaaS product.
- Robust understanding of AI and/or machine learning, and related technologies.
- Experience using data and primary research to inform solution design and build internal business understanding.
- Experience with Agile teams, Jira, and understanding the software development lifecycle.
- Strong understanding of APIs, DevOps, enterprise software development, cloud infrastructure (databricks/AWS/GCP/Azure), and data engineering principles.
- Exceptional ability to communicate technical tradeoffs to non-technical stakeholders.
- Comfortable with translating ambiguous product requirements into technical roadmap.
Preferred Knowledge, Skills and/or Abilities:
- Experience working on or leading products for an AI/ML Platform team and building a platform to scale vertically and horizontally.
- Proven track record of building and launching AI/ML platforms, tools, or internal services that enable other product teams.
- Deep understanding of the AI/ML product lifecycle, MLOps, and scalable AI infrastructure (e.g. model training, deployment, monitoring, observability, reliability.)
- Experience with LLMs and generative AI technologies, including prompt engineering strategies and VLMs.
- Experience working as a data scientist or backend engineers.
- Strong ability to translate technical concepts and platform capabilities into value propositions and storytelling skills to communicate diverse internal stakeholders.
- Experience in a healthcare technology environment, including physician-facing products or working with clinical datasets (EHR data, Claims, Population Health datasets, etc.)
Physical Requirements:
Skills Required
- 12+ years of experience in product management in technology or SaaS
- Robust understanding of AI and/or machine learning
- Experience using data and primary research for solution design
- Experience with Agile teams, Jira, and software development lifecycle
- Strong understanding of APIs, DevOps, and cloud infrastructure
- Exceptional ability to communicate technical tradeoffs to non-technical stakeholders
- Comfortable translating ambiguous product requirements into technical roadmap
Aledade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aledade and has not been reviewed or approved by Aledade.
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Fair & Transparent Compensation — Pay is often characterized as fair or pretty good for the work, with occasional remarks that compensation is among the best experienced in a career.
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Leave & Time Off Breadth — Time off provisions stand out, including a strong PTO allotment early on and an additional long-tenure sabbatical benefit.
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Parental & Family Support — Paid parental leave is positioned as a meaningful, broadly applicable benefit for new parents.
Aledade Insights
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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