Technical Product Manager - AI Platform, Remote

Overview

Employer Industry: Healthcare Technology

Why consider this job opportunity:

• Opportunity for career advancement and growth within the organization
• Flexible work schedules and the ability to work remotely
• Health, dental, and vision insurance paid up to 80% for employees, dependents, and domestic partners
• Robust time-off plan including 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 and six weeks paid sabbatical after six years of service
• Stock options and a 401(k) plan with up to 4% match

• Define and deliver the roadmap to drive execution and scale of the AI Platform supporting internal stakeholders and external AI products
• Lead the full lifecycle of machine learning and large language model platform work streams from data ingestion to ongoing optimization
• Partner with internal teams to develop a deep understanding of requirements and support throughout execution
• Write detailed user stories for new features, capturing business rationale, requirements, and success criteria
• Collaborate with AI Researchers to mature proofs-of-concept into production-ready capabilities

• 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
• Familiarity with Agile teams, Jira, and the software development lifecycle
• Knowledge of APIs, Dev Ops, enterprise software development, and cloud infrastructure (e.g., Databricks, AWS, GCP, Azure)

• 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
• Experience with large language models (LLMs) and generative AI technologies
• Background as a data scientist or backend engineer