AcuityMD is an AI platform for MedTech that aggregates real-world healthcare data into a proprietary MedTech ontology to deliver commercial insights for medical device companies.
<h1>Senior Data Product Manager</h1> <p>AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.</p> <p>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 report to the Chief Product Officer, and work cross-functionally with engineering and customer-facing teams.</p> <h3>Team Mission</h3> <p>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.</p> <h3>Responsibilities</h3> <ul> <li>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.</li> <li>Prototype, test and deliver new data products and algorithms with engineering and small, nimble cross-functional teams</li> <li>Drive discovery by partnering with customers, product marketing, and data teams to uncover unmet needs and turn them into compelling, scalable software</li> <li>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.</li> <li>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</li> <li>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.</li> <li>Balance short- and long-term bets. Keep the team focused on measurable outcomes today while building toward a compelling long-term product vision.</li> <li>Own key metrics to measure and improve product and business outcomes</li> <li>Uphold high standards of integrity, curiosity, and ambition—championing what’s right for our users, our team, and the business.</li> </ul> <h3><strong>Your Profile</strong></h3> <ul> <li>Motivated by building exceptional products and building a winning AI company.</li> <li>5+ years of product management experience, ideally in vertical B2B. You’ll have a successful record of managing and shipping great software products.</li> <li>1+ years leading and building AI solutions.</li> <li>You have built complex data products as part of a cross-functional team.</li> <li>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.</li> <li>Strong grasp of product fundamentals: discovery, prioritization, metrics, user feedback loops, and go-to-market alignment. You know what good product management looks like.</li> <li>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.</li> <li>Proven ability to make smart tradeoffs in ambiguous environments—handling technical constraints, business priorities and strong personalities.</li> <li>You pay strong attention to detail and you write things down. You communicate clearly and concisely, and tell stories using data.</li> <li>You are curious and seek to understand, question, and improve our products. You build empathy for customer problems and have a bias towards action to solve them.</li> <li>You seek hard problems to solve and are comfortable with ambiguity. You drive prioritization and make tradeoff decisions</li> </ul> <h3>Nice to Haves</h3> <ul> <li>You have built healthcare-specific data products as part of a cross-functional team</li> <li>Prior product management experience in vertical growth stage AI solutions</li> <li>Experience with LLM integration, data-driven solutions, or complex user roles/personas.</li> <li>Ability to build prototypes with tools like Claude Code</li> <li>Deep desire to understand and empathize with a dataset before using it</li> <li>Demonstrated mentorship or leadership in previous PM roles</li> </ul> <p>AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $175,000-$215,000</p> <p><em>You must have an eligible work permit in the USA to be considered for this position</em></p> <h3><strong>We Offer:</strong></h3> <ul> <li><strong>Ground floor opportunity</strong>: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).</li> <li><strong>Learning Budget:</strong> Reimbursements for releva