Senior Data Product Manager

AcuityMD•Boston, MA
•Remote

About The Position

AcuityMD is seeking a Senior Data Product Manager to build and refine its data assets, products, models, and platform. The role identifies market opportunities, develops compelling product offerings, and brings agentic AI solutions to life. It requires developing empathy for users, solving complex problems, and driving business success for customers and AcuityMD while working cross-functionally with engineering and customer-facing teams. The Data Products team creates data assets and algorithms that enable new workflows and power AcuityAI. The team connects engineering capabilities with customer needs, using data and AI to prioritize user needs and coordinating across technical and customer-facing teams to deliver new capabilities. The position owns a product area end-to-end, from understanding customer problems and defining product vision to prioritizing, setting outcomes and acceptance criteria, and shipping. It includes discovering unmet needs, prototyping and delivering data products and algorithms, integrating AI where it creates user value, operationalizing products with engineering partners, communicating roadmaps and outcomes, balancing short- and long-term priorities, and improving product and business metrics. The position is remote-first in the United States, with 4–5 in-person opportunities each year for company or team on-sites and critical-project collaboration. U.S. work authorization is required. The base salary range is $175,000–$215,000, with the offer depending on factors including location, role scope, and candidate experience and expertise.

Requirements

  • At least 5 years of product management experience, ideally in vertical B2B.
  • A successful record of managing and shipping software products.
  • At least 1 year of experience leading and building AI solutions.
  • Experience building complex data products as part of a cross-functional team.
  • Practical, hands-on technical experience, including working with data, building code with AI tools, and tracking metrics.
  • Strong grasp of product fundamentals, including discovery, prioritization, metrics, user feedback loops, and go-to-market alignment.
  • Proficiency using AI tools in daily work and experience delivering AI-powered features, with a realistic understanding of LLM capabilities and limitations.
  • Ability to make sound tradeoffs in ambiguous environments involving technical constraints, business priorities, and differing perspectives.
  • Strong attention to detail and a habit of documenting work.
  • Clear, concise communication skills and ability to tell stories using data.
  • Curiosity, customer empathy, bias toward action, comfort with ambiguity, and interest in solving difficult problems.
  • Eligible work permit in the USA.

Nice To Haves

  • Experience building healthcare-specific data products as part of a cross-functional team.
  • Prior product management experience with vertical growth-stage AI solutions.
  • Experience with LLM integration, data-driven solutions, or complex user roles and personas.
  • Ability to build prototypes with tools such as Claude Code.
  • Strong interest in understanding and empathizing with datasets before using them.
  • Demonstrated mentorship or leadership in previous product management roles.

Responsibilities

  • Own a product area end-to-end by understanding customer problems, defining product vision, articulating outcomes and acceptance criteria, prioritizing, and shipping thoughtfully.
  • Prototype, test, and deliver data products and algorithms with engineering and small cross-functional teams.
  • Partner with customers, product marketing, and data teams to discover unmet needs and turn them into compelling, scalable software.
  • Use AI in daily work and in product development, including LLMs and automation where they create user value and differentiation.
  • Collaborate with data, machine learning, and analytics engineers to operationalize and harden data products and tooling, and support solutions built on the data.
  • Communicate clearly and regularly in meetings and writing, and drive a roadmap that aligns the team around goals and outcomes.
  • Balance short- and long-term priorities, focusing on measurable outcomes while building toward a long-term product vision.
  • Own key metrics to measure and improve product and business outcomes.
  • Champion the interests of users, the team, and the business with integrity, curiosity, and ambition.
  • Drive prioritization and make tradeoff decisions.

Benefits

  • Learning budget reimbursements for relevant learning and upskilling opportunities.
  • Remote-work flexibility for employees in the U.S.
  • Work-from-home stipend.
  • Flexible PTO and hours.
  • 100% paid health, dental, and vision plans for employees, and 75% paid coverage for dependents.
  • $1,000 home office stipend and Wi-Fi reimbursement.
  • Optional team retreats and in-person gatherings.
  • 8–16 weeks of fully paid, flexible parental leave.
  • Equity and competitive cash compensation.
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