Senior Data Product Manager

About the role:

We’re seeking a Senior Data Product Manager to lead the evolution of Sensi’s care intelligence platform. This role bridges data science, product, and customer value - turning our unique, real-world care data into actionable insights and scalable products.

You’ll collaborate across teams - with data scientists, engineers, clinical experts, GTM, and customers - to bring new data-driven capabilities from ideation to market impact.

What You’ll Do

Own the data product roadmap from concept to launch, ensuring every initiative ties to clear customer and business value.
Work closely with the data science team to define requirements, guide model development, and validate detections and insights.
Define acceptance criteria and KPIs for AI and ML-driven features, ensuring accuracy, reliability, and clinical relevance.
Collaborate cross-functionally with engineering, product, clinical, and GTM teams to operationalize data and algorithms into usable, high-impact features.
Validate and iterate with customers, incorporating feedback to continuously improve insight quality and usability.
Identify new opportunities to leverage Sensi’s proprietary data for innovative, high-value use cases.
Drive measurable outcomes by tracking post-launch adoption, accuracy, and business impact.

Requirements:

5+ years of product management experience, including at least 3 years focused on data, AI, or ML products.
Proven experience working with data science teams to build and scale AI-driven products.
A track record of building products from 0 1 through to growth and scale.
Experience across at least two SaaS startups that matured their product from early stage to growth phase.
Strong analytical and technical understanding of data, model validation, and product metrics.
Excellent collaboration and communication skills, comfortable working with engineers, scientists, domain experts (clinicians), and customers.
Deep customer orientation and the ability to translate data capabilities into tangible value.
Background in healthcare, aging, or wellbeing industries - a plus, not a must.
AI-native mindset — comfortable working with modern AI technologies such as LLMs, LangChain, LlamaIndex, or similar frameworks, and able to translate their capabilities into product value.