Senior Technical Product Manager (AI Platform)

TL;DR

Senior Technical Product Manager (AI Platform): Defining and delivering the roadmap to drive execution and scale of the AI Platform that supports internal stakeholders and external AI products with an accent on machine learning systems, data engineering, and applied healthcare AI. Focus on delivering production-grade systems that support reliable inference pipelines across millions of patient records.

Location: Remote (United States)

Company

hirify.global is dedicated to transforming value-based care through innovative technology, empowering independent primary care practices to deliver better care to their patients and thrive in value-based care.

What you will do

• Define and deliver the roadmap to drive execution and scale of the AI Platform.
• Lead the full lifecycle of ML and LLM platform workstreams—from data ingestion, training, and deployment to ongoing optimization.
• Work with internal teams and end users to develop a deep understanding of requirements and perform thoughtful solution design.
• Write detailed user stories for new features, capturing descriptions of business rationale, requirements, and success criteria.
• 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.

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.

Nice to have

• 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.

Culture & 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.
• 401(k) with up to 4% match.