About RentSpree Renting should be faster, fairer, and less stressful than it is. We're the infrastructure that makes that happen. Four million users. 300+ real estate company and MLS partnerships. Ten years of consistent growth. Backed by 645 Ventures.
About the role
Our job descriptions evolve with our business needs and priorities. Your role may include other tasks, projects, and team support.
What they're looking for
- 7+ years in data, including 3+ years directly leading an analytics or data science team. Hiring, reviewing work, setting the quality bar. Ideally at a Series A–D startup where you had to build the plane while flying it
- Experience leading or partnering closely with data engineering, enough to set direction for warehouse architecture and pipeline priorities and hold that team to a high standard
- Experience in shipping ML-powered features and operating them in production, not just a proof of concept
- Fluency in modern data stack tools (BigQuery or equivalent warehouse, dbt/Dataform, an experimentation platform), with enough hands-on SQL/Python to review your team's work directly
- Demonstrated ability to partner effectively with Engineering, Product, Design, Finance, and executive stakeholders to drive product strategy with data, and align the data roadmap with business outcomes
- Experience building or scaling a self-serve analytics culture, including what it takes to keep a single source of truth for metric definitions
More about this role
RentSpree is looking for a Head of Data to lead our Data organization, reporting directly to the CTO. In this role, you'll own Data Engineering, Data Science, Analytics, and Data Strategy as a single org and turn our data into one of RentSpree's core competitive advantages: proprietary rental data and ML-driven products that are unparalleled in the marketplace.
As a key member of the engineering leadership team, you'll define what RentSpree's data should do for the business, not just what dashboards it produces — from strategic data assets and ML to governance, data culture, and team growth.
This is a player-coach role. You will manage managers and still be fluent enough in SQL and data warehouse design to review a model, question a metric definition, and be credible both with your own analysts and in front of the executive team.
You'll operate across our globally distributed teams in Seattle and Bangkok, bringing clarity, accountability, and a strong bias for action to everything you do.
This position is hybrid (2 days/week) based in our Seattle office.
- Partner with Executives and the Product team to drive product strategy through data. Translate company vision into the data...
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