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About the Role
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 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.
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 and external 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.
- 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.
- 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.
- 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.
Skills
- Product Management
- Data Products
- Analytics Platforms
- Data Infrastructure
- Machine Learning Solutions
- PropTech
- SaaS
- IoT
- People Management
- Team Building
- Collaboration with Data Scientists
- Collaboration with Data Engineers
- Collaboration with ML Teams
- Customer Research
- Data Pipelines
- ETL Processes
- Data Architecture
- ML Model Training
- ML Model Deployment
- Analytical Skills
- Problem Solving
- Product Roadmap Definition
- Feature Prioritization
- JIRA
- Confluence
- Figma
- Sketch
- Amplitude
- Gitlab
- Github
- Prototyping
- LLMs
- MCP
- GenAI
- SQL
- Model Performance Metrics
- Agile Methodology
- Scrum Practices
- Modern Data Stack Architectures
- API Integrations
Location
- Arizona (HQ preferred)
- US States
Work Type
- Full-time
Experience Level
- 7 years of experience in product management
- 3 years of experience managing data products, analytics platforms, data infrastructure, or machine learning solutions
- 2-5 years of people management experience
Education Level
- Bachelor’s degree in Marketing, Economics, Computer Science, Business or related technical degree
Salary/Compensations
- $155,000.00 - $186,267 annually
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Flexible PTO
- Generous PTO
- 401(k) with employer contributions
- Paid parental leave
- Discounted insurance plans for pets
- Discounted legal services
- Employee stock purchase plan
About the Company
- 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.
Equal Opportunity
- Value authenticity, diverse perspectives, and inclusion in the workplace