Product Manager - Data

About Zumper

Zumper is building a smarter future for multifamily renting and marketing. For more than a decade, we’ve helped millions of renters find their next home, giving us first-hand knowledge of how people search for, discover, and choose where to live.

Today, Zumper serves both sides of the rental market. Millions of renters use our marketplace to find their next home, and the teams behind those properties use our platform to reach renters with tools that simplify marketing across every channel and touchpoint.

Zumper’s investors include Kleiner Perkins, Goodwater Capital, Headline, Dawn Capital, and Blackstone. As we enter our next chapter, we're looking for people who want to challenge how things have always been done and help move renting forward. Come build with us.

About this opportunity
Zumper is evolving how we use data and intelligence to power our B2B solutions, and we’re looking for a mid-level Product Manager to help shape that work. You’ll partner with Data & Analytics leadership and our Product, Engineering, and Design teams to turn renter demand signals, property insights, and market intelligence into capabilities that help our customers make better decisions and improve their marketing performance.

You’ll translate customer and business needs into clear requirements, prioritize data initiatives, and bring insights into product development and experimentation. It’s a highly cross-functional, highly visible opportunity to shape how Zumper’s data becomes customer value — and a great fit for a product manager who loves data or an analyst who has gravitated toward product.

This role reports to our VP, Product.

What you'll do

• 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

Who you are

• 3-5+ years in product management, product analytics, or a hybrid of the two, preferably in B2B or data products — 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
• Bonus points for experience in proptech, real estate, or marketplace businesses

Compensation

The US base salary range for this role is $140,000–$180,000. Where an offer falls within that range depends on your experience, skills, and the cost of labor in your local market — we benchmark against several U.S. geographic tiers and adjust accordingly.

What we offer

• Fully remote, with a home office stipend to set up your workspace
• Excellent medical, dental, and vision insurance options with up to 100% premium coverage
• 401k plan + 3% company match
• Stock options
• FSAs, HSAs, life insurance, and short & long-term disability insurance
• Up to 12-weeks of paid parental leave
• Flexible vacation policy - work hard and take time off when you need it
• Health & wellness and internet reimbursements
• Group training and individual professional development programs
• Team activities, virtual company-wide hosted games, and virtual happy hours
• Weekly insight into company metrics
• Employee Resource Group (zERG) that celebrates all communities - Black, LGBTQIA+, Women, Asian & Pacific Islanders, and more! zERG works together to create safe spaces for candid conversations
• Hackathons (not overnight!)

Life at Zumper

We are proud to be a remote-first company that embraces a distributed workforce. We believe in the power of flexible work environments and encourage our team to work from wherever they are most productive. Join us as we continue to innovate and collaborate across time zones and geographies!

We care deeply about diversity and inclusivity. We are fostering an environment that celebrates individuality and enables you to be your best self. As an equal opportunity employer, we welcome all applicants regardless of gender identity or expression, sexual orientation, national origin, religion, marital status, veteran status, age, disability, or race.

Please note

Zumper does not accept unsolicited resumes from staffing vendors, including recruitment agencies and/or search firms. Please do not forward resumes to our jobs alias, Zumper employees, or any other company location. Any submittals without a prior signed agreement will become property of Zumper.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.