Senior Data Product Manager
A
AcuityMDMedTech, Healthcare SaaS
Boston or RemoteFull-TimeSenior
Salary175000 - 215000 USD per year
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Job Details
- Experience
- 5+ years
Requirements
- 5+ years of product management experience, ideally in vertical B2B
- Successful record of managing and shipping great software products
- 1+ years leading and building AI solutions
- Built complex data products as part of a cross-functional team
- Practical hands-on technical experience and use it extensively (digging into data, building code with AI tools, tracking metrics)
- Strong grasp of product fundamentals: discovery, prioritization, metrics, user feedback loops, and go-to-market alignment
- Adept at using AI tools in your daily work and experience delivering AI powered features
- Realistic understanding of LLM capabilities and limits
- Proven ability to make smart tradeoffs in ambiguous environments
- Strong attention to detail and ability to write things down
- Communicate clearly and concisely, and tell stories using data
- Curious and seeks to understand, question, and improve products
- Builds empathy for customer problems and has a bias towards action to solve them
- Seeks hard problems to solve and is comfortable with ambiguity
- Drives prioritization and makes tradeoff decisions
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
- 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
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