Technical Product Manager (AI)

TL;DR

Technical Product Manager (AI): Define and deliver the roadmap for an AI Platform supporting internal stakeholders and external AI products with an accent on machine learning systems, data engineering, and applied healthcare AI. Focus on leading the full lifecycle of ML and LLM platform workstreams, from data ingestion, training, and deployment to ongoing optimization of live user workflows.

Location: Remote, United States

Company

hirify.global is dedicated to transforming value-based care through innovative technology, empowering independent primary care.

What you will do

• Define and deliver the roadmap for the AI Platform to support internal stakeholders and external AI products.
• Operate at the intersection of machine learning systems, data engineering, and applied healthcare AI.
• Partner with AI engineers, data scientists, and clinical leadership to deliver production-grade systems for inference pipelines.
• Lead the full lifecycle of ML and LLM platform workstreams, from data ingestion and training to deployment and optimization.
• Work with internal teams and end users to understand requirements, design solutions, and use data to test hypotheses.
• Contribute to improving the quality and cost of care for over 2 million patients served by hirify.global providers.

Requirements

• 6+ 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.

Nice to have

• Experience leading AI/ML platform products and scaling platforms.
• 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.
• Experience with large language models (LLMs) and generative AI technologies.
• Background as a data scientist or backend engineer.
• Familiarity with EHR data, Claims, or population health datasets, and experience in healthcare technology environments.

Culture & Benefits

• Flexible work schedules and ability to work remotely 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.
• 401(k) with up to 4% match and stock options.

Hiring process

• Automated tools, including AI, may be used to organize and evaluate application materials.
• Human judgment plays an essential role in the oversight and use of any automated tools.