About the roleWe are seeking a visionary Senior Product Manager to redefine the search, discovery, and evaluation landscape across StreetEasy's buying and renting marketplace. This is a high-impact opportunity to modernize our core experience by bringing cutting-edge AI and deep personalization to create a singular, exceptional end-to-end shopping journey-from initial search and comparison to saving, sharing, and selecting "the one". You will empower users to build confidence through sophisticated, seamless flows that transform raw behavioral signals into the engine for growth, intelligent segmentation, and precision agent matching. If you are ready to combine your customer obsession with AI product fluency to build the future of NYC real estate, we want you on our team.
You Will Get To- Define and drive the search and shopping strategy for StreetEasy across web, iOS, and Android, from initial query through listing and building evaluation to finding "the one".
- Build personalized shopping experiences using smart defaults, targeted nudges, and AI-assisted exploration.
- Own the property evaluation pages and experience, helping users navigate NYC-specific nuances like co-op policies and pricing.
- Optimize the shopping journey, including browsing, comparing, saving, and sharing listings.
- Lead the experimentation and deployment of AI-powered personalization and recommendation models, partnering with engineering and data science to translate behavioral signals into measurable improvements for search and discovery.
- Balance innovation with the trust and accuracy StreetEasy's audience expects, ensuring new experiences meet high standards for data quality and reliability.
This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $141,200.00 - $225,600.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.
In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Who you are- 6+ years of digital product management experience (3+ years focused on search, discovery, or content relevance in a dual-sided marketplace).
- Deep technical expertise in search relevance, ranking, and AI/ML-powered personalization systems, defining requirements for core platform and experimentation infrastructure.
- Fluency in managing behavioral data as a core product input that powers personalization and agentic systems.
- Proven track record of optimizing complex consumer flows through rigorous A/B testing and experimentation, driving measurable outcomes from clear hypotheses.
- Exceptional cross-functional leadership, consistently aligning Engineering, Design, Data Science, and business stakeholders through clear product vision and compelling storytelling.
- Experience managing the tension between optimizing the organic user experience and successfully integrating advertising products without compromise.
- Analytical, structured thinker who thrives in ambiguity and moves quickly from insight to execution.
- We value unique perspectives and non-traditional backgrounds - we encourage you to apply if you bring transferable skills or relevant experiences that can help us build the future of real estate.
