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.
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.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program