Technical Product Manager

Summary

Join Aledade's AI Platform team as a Technical Product Manager to define and deliver the roadmap for our internal AI ecosystem. Partner with engineering, internal product teams, and leadership to optimize our AI platform for efficiency and innovation. You will cultivate a shared vision for problem spaces, optimize user workflows, and develop a deep understanding of requirements. Responsibilities include writing detailed user stories, developing short- and long-term roadmaps, and using data to test hypotheses. This role requires 6+ years of product management experience in technology and experience with the software development lifecycle. Preferred qualifications include experience with AI/ML platforms and a deep understanding of the AI/ML lifecycle.

Requirements

• 6+ years of product management experience in technology, technology-enabled services industry, or a SaaS product
• Experience using data and primary research to inform solution design and build internal business understanding
• Experience with and understanding of the software development lifecycle and software development methodologies. Preferably experience with Agile / Scrum teams
• Product development experience in the context of the development of a healthcare technology product

Responsibilities

• Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective
• Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & user feedback
• Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution
• Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes
• Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration

Preferred Qualifications

• 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 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
• Strong ability to translate technical concepts and platform capabilities into value propositions for diverse internal stakeholders
• Comfort managing a broad set of stakeholders across various internal product and engineering teams
• Experience in a healthcare technology environment

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
• 401(k) with up to 4% match
• Stock options