Senior Data Product Manager (AI)

TL;DR

Senior Data Product Manager (AI): Building and refining data assets, products, and platform for a MedTech software platform with an accent on agentic AI solutions and data-driven workflows. Focus on integrating LLMs to solve customer problems, operationalizing data products, and driving product discovery in a high-growth B2B environment.

Location: Boston or Remote (Must have an eligible work permit in the USA)

Salary: $175,000–$215,000

Company

A high-growth AI and data platform accelerating access to medical technologies for MedTech companies.

What you will do

• Own a product area end-to-end, defining the product vision and prioritizing outcomes ruthlessly.
• Prototype and deliver new data products and algorithms with cross-functional teams.
• Drive product discovery by partnering with customers and data teams to uncover unmet needs.
• Integrate LLMs and automation to create user value and product differentiation.
• Collaborate with ML and analytics engineers to operationalize and harden data products and tooling.
• Own key metrics and maintain a roadmap to balance short-term bets with long-term vision.

Requirements

• 5+ years of product management experience, ideally in vertical B2B.
• 1+ years of experience leading and building AI solutions.
• Proven track record of building complex data products within cross-functional teams.
• Practical hands-on technical experience with data analysis and AI tools.
• Strong grasp of product fundamentals: discovery, prioritization, and metrics.
• Must have an eligible work permit in the USA

Nice to have

• Experience building healthcare-specific data products.
• Prior PM experience in vertical growth-stage AI solutions.
• Experience with LLM integration or complex user personas.
• Ability to build prototypes with tools like Claude Code.

Culture & Benefits

• Full-remote flexibility for employees in the US with a $1,000 home office stipend.
• 100% paid health, dental, and vision plans for employees.
• Flexible PTO and generous time off for work-life balance.
• Reimbursements for relevant learning and up-skilling opportunities.
• 8-16 weeks of fully-paid, flexible parental leave.
• Optional team retreats for in-person co-working and social gatherings.