Senior Data Product Manager

AcuityMD • Boston, MA

1d • $175,000 - $215,000 • Remote

About The Position

AcuityMD is hiring a Senior Data Product Manager to build and refine its data assets, products, models, and platform. The role will identify market opportunities, shape product offerings, and bring agentic AI solutions to life. The manager will develop empathy for users, solve complex problems, and drive business success for customers and AcuityMD, working cross-functionally with engineering and customer-facing teams.

The data products team develops data assets and algorithms that enable new workflows and power AcuityAI. It connects engineering capabilities with customer needs, using data and AI to prioritize user needs and coordinating across technical and customer-facing teams to bring new capabilities to life.

AcuityMD is a remote-first company supporting employees working remotely across the U.S. The team also meets in person approximately four to five times per year for company or team on-sites and critical project collaboration. Employees near the Boston hub may choose whether and how often to visit the office. The position requires an eligible U.S. work permit. The stated base salary range is $175,000–$215,000, with compensation depending on factors including location, role scope and complexity, experience, expertise, and market data.

Requirements

• At least 5 years of product management experience, ideally in vertical B2B, with a successful record of managing and shipping software products.
• At least 1 year 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 tradeoffs in ambiguous environments while balancing technical constraints, business priorities, and differing perspectives.
• Strong attention to detail, clear and concise communication, and ability to tell stories using data.
• Curiosity, empathy for customer problems, and a bias toward action.
• Comfort with hard problems and ambiguity, including driving prioritization and making tradeoff decisions.
• Eligible work permit in the USA.

Nice To Haves

• Experience building healthcare-specific data products as part of a cross-functional team.
• Product management experience in 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 a dataset before using it.
• Demonstrated mentorship or leadership in previous product management roles.

Responsibilities

• Own a product area end-to-end by understanding customer problems, defining product vision and outcomes, setting 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 effectively in daily work and in products, including LLMs and automation where they create user value and differentiation.
• Collaborate with data, machine learning, and analytics engineers to operationalize and strengthen data products and tooling, and support solutions built on the data.
• Communicate regularly and clearly in meetings and writing, and drive a roadmap that aligns teams around goals and outcomes.
• Balance short-term outcomes with long-term product vision.
• Own key metrics to measure and improve product and business outcomes.
• Uphold high standards of integrity, curiosity, and ambition, advocating for users, the team, and the business.

Benefits

• Reimbursement for relevant learning and upskilling opportunities.
• Remote-work flexibility for U.S. employees.
• Work-from-home stipend.
• Flexible PTO and flexible hours.
• 100% company-paid health, dental, and vision plans for employees; 75% paid for dependents.
• $1,000 home office stipend and Wi-Fi reimbursement.
• Optional team retreats and in-person gatherings multiple times per year.
• Eight to 16 weeks of fully paid, flexible parental leave.
• Equity and competitive cash compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed