Group Product Manager, Data & Analytics

Required Qualifications

• 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

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: $155,000.00 - $186,267 annually. Actual compensation will depend on experience, skills, and internal equity. This role may also be eligible for bonus, commission, or other variable compensation.

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