Product Manager (Data)

Zumper is seeking a mid-level Product Manager to turn renter demand signals, property insights, and market intelligence into useful capabilities for its B2B customers. The role partners with Data & Analytics, Product, Engineering, and Design to prioritize data initiatives, develop customer-facing products, and improve marketing performance through insights and experimentation.

Responsibilities:

• Talk with customers (and the Sales and Customer Success teams who know them best) to understand the decisions they face, then translate those needs into clear, well-scoped requirements for Data & Analytics, Engineering, and Design
• Partner with Data & Analytics leadership to prioritize data initiatives and decide which ones become customer-facing capabilities first, then work with Engineering to deliver them, from sprint planning through release
• Identify where AI and machine learning can turn our data into customer value — forecasting renter demand, recommending ways to improve marketing performance, or answering customers’ questions in plain language — and work with Data & Analytics and Engineering to scope, build, and validate those capabilities
• Make sure the insights we put in front of customers are accurate, explainable, and easy to act on, working with Design so data is visualized clearly and built into the customer’s workflow instead of sitting in a dashboard
• Define and instrument success metrics for each capability, use experimentation to learn what’s working, and bring what our data reveals into broader product development
• Use AI tools in your own work, from synthesizing customer feedback and exploring data to drafting specs and prototyping, and share what works with the rest of the team

Requirements:

• 3-5+ years in product management, product analytics, or a hybrid of the two
• you've been the PM who did their own analysis or the analyst who kept getting pulled into product decisions, and you're ready to own both sides
• Fluent in data — comfortable enough in SQL to pull your own answers and sanity-check someone else's, with a working understanding of how data models, metric definitions, and experiments fit together
• A translator by nature — you can take a property manager asking “what are renters in this neighborhood looking for?” and turn it into a question an analyst can answer, then into a capability every customer can use
• Comfortable working directly with customers — you can sit in on a call, hear what someone is really struggling with, and come back with a requirement, not just a feature request
• Analytically minded with a strong point of view. You don't just read dashboards, you form opinions about what the data means and what to do about it
• Curious and hands-on with AI — you already use AI tools to work faster, and you have a grounded view of where AI adds real value in a product and where it's just a flashy demo
• Highly organized with strong attention to detail — you can keep a roadmap, a backlog, and a set of stakeholders moving without dropping threads
• preferably in B2B or data products
• Bonus points for experience in proptech, real estate, or marketplace businesses