Group Product Manager, Data & Analytics

SmartRent is hiring a Group Product Manager, Data & Analytics to define and execute the strategic vision for its enterprise data, reporting, and intelligence products. The role leads customer research, product strategy, and cross-functional delivery of analytics tools and machine learning solutions, while managing and mentoring product managers.

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
• Mentor and inspire cross-functional teams, fostering a culture of innovation, feedback, and excellence
• Ensure compliance with security, regulatory, and operational standards, embedding secure-by-design practices into product workflows
• Develop and maintain dashboards, KPIs, and reporting mechanisms to track product performance and inform decision-making
• Lead, mentor, and coach a team of product managers, building a data-informed product culture across the department
• Perform other duties as assigned

Requirements:

• Bachelor's degree in Marketing, Economics, Computer Science, Business or related technical degree and a minimum of 7 years of experience in product management
• Minimum 3 years of experience managing data products, analytics platforms, data infrastructure, or machine learning solutions (preferably within PropTech, SaaS, or IoT ecosystems)
• An equivalent combination of education and experience will be considered
• 2-5 years of people management experience and the proven ability to build and grow high-performing teams
• Proven experience collaborating directly with Data Scientists, Data Engineers, and ML teams to ship data-driven features or predictive models. (Does not require hands-on coding/data science execution, but requires strong technical comprehension)
• Demonstrated capabilities executing end-to-end quantitative and qualitative customer research and effectively identifying and interpreting key findings
• Solid understanding of data pipelines, ETL processes, data architecture concepts, and how ML models are trained and deployed to production
• Highly analytical and diligent personality with ability to constantly solve problems and quickly plan out new features with meticulous attention to detail
• Experience defining a product roadmap and prioritizing features based on end user needs
• Familiarity with JIRA, Confluence, Figma, Sketch, Amplitude, Gitlab, Github, Prototyping or other similar tools
• Good understanding of LLMs, MCP, and GenAI to help drive product differentiation
• Proficiency in querying databases (SQL) and evaluating model performance metrics (precision, recall, accuracy) to validate product requirements
• Experience with cross-functional teams (engineering, design, marketing)
• Experience building external-facing analytics/dashboards for enterprise SaaS customers or property operators
• Experience in proptech, multifamily, consumer IoT or similar SaaS companies
• Ability to analyze user data and feedback to inform product decisions
• Background in embedded analytics, IoT sensor data platforms, or algorithmic decision engines
• Familiarity with agile and scrum practices
• Strong understanding of Agile methodology and experience working with engineering teams
• Proficient with Jira, Confluence, Figma, or similar tools
• Familiarity with modern data stack architectures (Snowflake, Databricks, dbt, etc.) and API integrations