Product Analyst
Listed on 2026-01-12
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IT/Tech
Data Analyst, AI Engineer, Data Scientist, Data Science Manager
Rent Spree is the nation's leading home rental software. Our award-winning product suite simplifies the entire rental journey—from applications and screening to payments and lease management. Our mission is to bring transparency, efficiency, and trust to agents, landlords, and renters alike.
With over 3 million users, partnerships with 300+ leading real estate companies and MLS platforms, and nine years of consistent growth, Rent Spree is at the forefront of proptech innovation. Our award-winning solutions deliver automation and real-time insights that make renting faster, easier, and more secure for our customers.
Rent Spree is a proud Forbes' Best Startup Employer and we were also ranked one of Built In Seattle’s Best Places to Work. As one of the fastest-growing property tech startups in the U.S., we’re looking for talented problem-solvers to contribute meaningful impact as we scale.
Join the Data department at Rent Spree as a Staff
Product Analyst
! You will play a key role in integrating advanced analytics with state-of-the-art AI tools, helping product teams move faster and smarter. This role sits at the intersection of AI, analytics, and strategy while supporting product development.
This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, helping transform AI-augmented insights into meaningful product outcomes.
If you’re excited to work on challenging projects that blend prompt engineering, AI tool usage, and product strategy, we want you! Take the lead and bring your proactive, builder mindset to Rent Spree.
This role is based in Seattle with 2 days per week in-office.
What You'll Do- Lead analytics for a product domain, influencing product direction, roadmap decisions, and user experience through data.
- Define company-level and product-level key metrics and assist on target setting for product team
- Shape and conduct A/B experimentation by partnering with product and engineering to identify opportunities, test hypotheses, and drive fast learning.
- Define and evangelize best practices for metrics, causal inference, and decision-making.
- Apply ML to improve exploration, storytelling, and strategic decision support.
- Stay ahead of emerging AI technologies and help evolve Rent Spree’s analytics capabilities.
- Leverage AI automation, and assistive tools into analytics workflows to amplify scale, quality, and speed.
Our job descriptions evolve with our business needs and priorities. In addition to the description above, your role may include additional tasks, projects and team support as needed.
Skills You Bring- 6+ years of experience in product or data analytics, including domain ownership and cross-functional influence.
- Expert-level SQL and/or Python, hands-on with modern data stacks and AI/ML tooling.
- Proven experience applying AI tools (copilots, LLMs, prompt engineering) to real-world analytics workflows.
- Strong product intuition, you connect data to user needs, business context, and product outcomes.
- Deep experimentation knowledge, you design to uncover cause and effect, move fast, and drive measurable impact.
- Adaptability and autonomy, you thrive in ambiguous, fast-changing environments.
These encompass our guiding principles and startup culture competencies:
- Take full ownership and accountability: Drives projects from idea to execution, with pride, urgency, and a “do what it takes” mentality.
- Collaborate with clarity, candor, and respect: Communicate openly and courageously, offer and receive feedback well, and build trust through transparency and reliable partnership.
- Strive for excellence while staying humble: Driven with a bias for action, hold a high bar, think critically, and continuously look to improve.
- Bring a versatile, proactive mindset: Adapt to evolving needs, anticipate challenges, take initiative, be resourceful, and embrace opportunities to achieve high quality results.
- Innovate and learn fast: Experiment, learn from failure, and seek opportunities to introduce new methods or diverse ways of achieving results.
- Engage in healthy debate and commit as a team: Contribute ideas, challenge constructively, and align quickly for decisive…
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