
AcuityMD is an AI platform for MedTech trusted by over 500 MedTech companies to help commercial leaders identify target markets, surface opportunities, and grow their business. By combining real-world healthcare data with AI-powered insights, AcuityMD enables companies from pre-commercial to enterprise to accelerate the adoption of medical technology.
As a Senior Data Product Manager, you will build and refine AcuityMD’s data assets, products, models, and platform. You’ll play a critical role in identifying market opportunities, crafting compelling product offerings, and bringing agentic AI solutions to life.
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 serves as the critical link between engineering capabilities and customer needs.
Responsibilities
- Own a product area end-to-end: deeply understand customer problems, define product vision, articulate outcomes and acceptance criteria, prioritize, and ship thoughtfully.
- Prototype, test, and deliver new data products and algorithms alongside engineering and cross-functional teams.
- Drive discovery by partnering with customers, product marketing, and data teams to turn unmet needs into scalable software.
- Integrate AI effectively both in daily workflows (research, analysis, content generation) and within built features using LLMs and automation.
- Collaborate with data, machine learning, and analytics engineers to operationalize data products and tooling.
- Communicate roadmap and product direction clearly across written updates and cross-functional meetings.
- Balance short-term outcomes with long-term strategic product goals.
- Track key metrics to evaluate and improve product performance and business outcomes.
Candidate Profile
- 5+ years of product management experience, ideally in vertical B2B SaaS.
- 1+ years of experience leading and shipping AI-powered solutions.
- Proven track record of building complex data products within cross-functional teams.
- Practical, hands-on technical abilities (analyzing data, working with AI tooling, tracking metrics).
- Strong product management fundamentals: discovery, prioritization, user feedback loops, and metrics.
- Realistic understanding of LLM capabilities, limits, and integration.
- Ability to handle ambiguity, technical constraints, and complex stakeholder alignment.
- Clear written and verbal communication skills with strong attention to detail.
- U.S. work authorization required.
Nice to Haves
- Experience building healthcare-specific data products.
- Product management background in growth-stage vertical AI solutions.
- Prototyping skills using tools like Claude Code.
- Demonstrated mentorship or informal leadership in previous roles.
Benefits & Working Setup
- Remote-First Environment: Work from anywhere in the U.S. with 4-5 planned in-person team on-sites per year.
- Compensation & Equity: Competitive base pay ($175,000 - $215,000) and equity package.
- Health Coverage: 100% paid health, dental, and vision insurance for employees (75% for dependents).
- Home Office: $1,000 initial stipend for remote setup plus ongoing internet reimbursement.
- Time Off: Flexible PTO policies.
- Parental Leave: 8-16 weeks of fully paid parental leave.
- Learning & Growth: Annual budget for professional development and learning opportunities.
Timezone overlap
UTC-8–-4
Benefits
Equity, Health, Dental, Vision, PTO, Parental leave, Learning, Home office, Internet, Unlimited PTO, Coworking
Open to
US · Boston · United States
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