Group Product Manager

Who We Are

SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry’s only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter.

Job Description

As a Group Product Manager, Data & Analytics, you will define and execute the strategic vision for SmartRent’s enterprise data, reporting, and intelligence products. You will lead customer research, synthesize insights, and translate complex data capabilities into actionable product strategies, intuitive analytics tools, and machine learning models. This highly cross-functional role requires strong leadership, deep data fluency, and the ability to bridge the gap between business leaders, data engineers, data scientists, and end users to deliver market-leading, data-driven solutions.

(Prefer candidate in AZ to come to our HQ, but open to candidates in other US states)

Responsibilities

• Define and communicate the strategic vision and roadmap for SmartRent's enterprise data platform, reporting suites, and AI/ML initiatives.
• Lead customer and market research, transforming insights into actionable requirements and innovative product features.
• Partner with internal (Revenue, Operations, Finance, IT) and external (customers, partners) stakeholders to create the strategic roadmap for the data and analytics practice
• Partner closely with Data Science, ML Engineering, Data Engineering, and Design to turn raw telemetry, IoT, Operations and property data into predictive models, user-facing analytics, and actionable business intelligence.
• Lead qualitative and quantitative research with internal teams, property managers, and owners to understand their reporting, data integration, and analytical workflow needs.
• Translate stakeholder needs into clear technical requirements, PRDs, and data specifications (data models, pipelines, API integrations, and metric definitions).
• Balance timing, cost, features, and performance to deliver high-impact products on schedule and within budget.
• Measure product success using data-driven methods, establish core telemetry metrics, and continuously optimize data product adoption and performance.
• Manage escalations and influence stakeholders across the organization to resolve issues and drive consensus.