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ApartmentIQ is hiring a Technical Staff Product Manager to own the data platform that powers our market intelligence for multifamily properties. You will work with data engineering, data science, and product teams to define ingestion, modeling, validation, and delivery of data, while diagnosing issues and driving platform improvements.
You will partner with data engineers and scientists to scope requirements, set priorities, and measure impact, turning complex data problems into actionable
We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.
We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.
While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.
ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.
We’re looking for a Technical Staff Product Manager to own ApartmentIQ’s data platform, the foundation behind the market intelligence multifamily operators rely on every day. This role is for someone with a data science or analytics background who is as comfortable writing SQL and digging into a pipeline as they are setting product direction.
You’ll set the vision and roadmap for how we ingest, model, validate, and deliver data, working closely with data engineering, data science, and product teams. When something looks off, you’ll dig in yourself: run the analysis, trace the issue to its root cause, and turn what you find into fixes and platform improvements. You’ll also work directly with customers to learn how they use our data,
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.