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AcuityMD

Senior Data Product Manager

Boston or Remote; RemoteRemote · United States
Senior · Data Partnerships & Curation
POSTED 9 NOVVERIFIED 9M AGO
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Role
0 days opentrue age
Posted 9 Nov
Pay
$160k–$190kno pay posted
Market p25–p75
$160k–$190k
Boston · n=47 · 365d to 6 Nov
CompanyAcuityMD →
8open roles
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2,294open · Senior Product
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8,138open
All tracked boards · live 9 Nov · n=2,294
Visa
3H-1B LCAs · FY26
Median wage
$175k
LCAs FY26 · n=3 · to 2026-06-16
LLMs

Senior Data Product Manager

AcuityMD is the AI platform for MedTech trusted by over 500 MedTech companies – including 16 of the top 20. Commercial leaders use AcuityMD to identify target markets, surface top opportunities, and grow their business. By combining real-world healthcare data with AI-powered insights, AcuityMD enables companies from pre-commercial to enterprise to understand where and how to sell faster to accelerate the adoption of medical technology. AcuityMD ranked No. 316 on the 2026 Inc. 5000 list of the fastest-growing private companies in America and was named to Forbes’ 2025 “Next Billion-Dollar Startups” list – an elite group of 25 venture-backed U.S. companies identified as most likely to reach a $1 billion valuation.‍ AcuityMD is backed by Stepstone Group, Benchmark, Redpoint Ventures, ICONIQ, and Atreides Management.

As a Senior Data Product Manager, you will build and refine AcuityMD’s data assets, products, model and platform. You’ll play a critical role in identifying market opportunities, crafting compelling product offerings, and bringing agentic AI solutions to life. You will build empathy for our users, solve complex problems and drive business success for our customers and for AcuityMD. You will work cross-functionally with engineering and customer-facing teams.

Team Mission

We are building a world-class data products team to meticulously craft and deliver data assets and algorithms that enable new workflows and power AcuityAI to solve customer problems. Our team is the critical link between what our engineers build and what our customers need. We are looking for product leaders to develop deep empathy for our users, apply data and AI to prioritize user needs, and bring new capabilities to life by aligning and coordinating across technical and customer-facing teams.

Responsibilities

  • Own a product area end-to-end: deeply understand customer problems, define the product vision, clearly articulate desired outcomes and acceptance criteria, prioritize ruthlessly, and ship thoughtfully.
  • Prototype, test and deliver new data products and algorithms with engineering and small, nimble cross-functional teams
  • Drive discovery by partnering with customers, product marketing, and data teams to uncover unmet needs and turn them into compelling, scalable software
  • Integrate AI effectively, both in how you work (e.g., research, analysis, content generation) and in what we build, leveraging LLMs and automation where they create user value and differentiation.
  • Collaborate with data, machine learning, and analytics engineers to operationalize and harden our data products and tooling, and to ensure the success of solutions that build on our data
  • Communicate clearly and regularly - both in meetings and in writing. You’ll drive a compelling roadmap to ensure everyone is working toward clear goals and outcomes.
  • Balance short- and long-term bets. Keep the team focused on measurable outcomes today while building toward a compelling long-term product vision.
  • Own key metrics to measure and improve product and business outcomes
  • Uphold high standards of integrity, curiosity, and ambition—championing what’s right for our users, our team, and the business.

Your Profile

  • Motivated by building exceptional products and building a winning AI company.
  • 5+ years of product management experience, ideally in vertical B2B. You’ll have a successful record of managing and shipping great software products.
  • 1+ years leading and building AI solutions.
  • You have built complex data products as part of a cross-functional team.
  • You have practical hands-on technical experience and use it extensively. You’re not afraid to get your hands dirty digging into data, building code with AI tools and tracking metrics.
  • Strong grasp of product fundamentals: discovery, prioritization, metrics, user feedback loops, and go-to-market alignment. You know what good product management looks like.
  • Adept at using AI tools in your daily work and experience delivering AI powered features. You have a realistic understanding of LLM capabilities and limits.
Source · AcuityMDFirst seen 9 NovOriginal ↗