Group Product Manager, Data & Analytics

Who We Are

SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industrys 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 SmartRents 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 SmartRents 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.

Required Qualifications

• Bachelors 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

Preferred Qualifications

• 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.

Salary range: $155000.00 - $186267 annually. Actual compensation will depend on experience skills and internal equity. This role may also be eligible for bonus commission or other variable compensation.