Product Manager (Data)
About The Position
Zumper is seeking a mid-level Product Manager to shape how data and intelligence power its B2B solutions. The role partners with Data & Analytics leadership and Product, Engineering, and Design teams to turn renter demand signals, property insights, and market intelligence into customer-facing capabilities that support better decisions and marketing performance. The Product Manager translates customer and business needs into requirements, prioritizes data initiatives, and incorporates insights into product development and experimentation. The position reports to the VP, Product and works across customer discovery, data product delivery, AI-enabled capabilities, and product measurement.
Requirements
- 3–5+ years in product management, product analytics, or a combination of the two.
- Fluency with data and sufficient SQL skills to retrieve answers and sanity-check analyses.
- Working understanding of data models, metric definitions, and experiments.
- Ability to translate customer needs into questions analysts can answer and capabilities customers can use.
- Comfort working directly with customers and turning what they learn into requirements.
- Analytical mindset and ability to form opinions about what data means and what actions to take.
- Curiosity and hands-on experience using AI tools, with sound judgment about where AI adds product value.
- Strong organization and attention to detail, including the ability to manage a roadmap, backlog, and stakeholders.
Nice To Haves
- Experience with B2B or data products.
- Experience in proptech, real estate, or marketplace businesses.
Responsibilities
- Talk with customers and Sales and Customer Success teams to understand customer decisions and translate needs into scoped requirements for Data & Analytics, Engineering, and Design.
- Partner with Data & Analytics leadership to prioritize data initiatives and determine which become customer-facing capabilities; work with Engineering to deliver them from sprint planning through release.
- Identify opportunities for AI and machine learning to create customer value, and work with Data & Analytics and Engineering to scope, build, and validate capabilities.
- Ensure customer-facing insights are accurate, explainable, and actionable, and partner with Design to make data clear and integrated into customer workflows.
- Define and instrument success metrics, use experimentation to evaluate performance, and incorporate data findings into broader product development.
- Use AI tools to synthesize customer feedback, explore data, draft specifications, and prototype; share effective practices with the team.
Benefits
- Home office stipend.
- Medical, dental, and vision insurance options with up to 100% premium coverage.
- 401(k) plan with 3% company match.
- Stock options.
- FSAs and HSAs.
- Life insurance and short- and long-term disability insurance.
- Up to 12 weeks of paid parental leave.
- Flexible vacation policy.
- Health and wellness reimbursements.
- Internet reimbursements.
- Group training and individual professional development programs.
- Team activities, hosted virtual company-wide games, and virtual happy hours.
- Weekly insight into company metrics.
- Employee Resource Group (zERG).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
