Senior Technical Product Manager (AI Data Platform)

TL;DR

Senior Technical Product Manager (AI Data Platform): Defining and delivering the roadmap to drive the execution and scale of our AI Data Platform that supports internal stakeholders and external AI products with an accent on machine learning systems, data engineering, and applied healthcare AI. Focus on production-grade agentic retrieval and context graph solutions that enable LLM-powered tools to find and use relevant data to support value-based care workflows.

Location: Remote, United States

Company

hirify.global is dedicated to transforming value-based care through innovative technology.

What you will do

• Partner with business owners to cultivate a shared vision for the problem space, constraints, and priorities.
• Lead the full lifecycle of ML and LLM platform workstreams, from data ingestion and training to the ongoing optimization of live user workflows.
• 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 detailed 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 industry, or a SaaS product.
• Robust understanding of artificial intelligence 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 of 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 trade-offs to non-technical stakeholders.

Nice to have

• 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 large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs.
• Experience working 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.