Data Product Manager - US; Remote

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we’re a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

$200,000 - $235,000 a year

Luxury Presence sits on one of the most valuable data assets in real estate. Hundreds of MLS feeds flow into our platform every day, powering the home search experiences and listing content that 18,000+ real estate businesses depend on. But today, that data lives in two separate worlds: agent-managed listing content on one side, and MLS-sourced search data on the other.

Different schemas, different pipelines, different product experiences.

We’re at an inflection point. The opportunity isn’t just to unify these systems. It’s to build an entirely new category of data products on top of a unified foundation, products that turn MLS data into a competitive advantage for every agent on our platform. Think AI-powered search, automated CMAs, market intelligence, home valuations, listing performance analytics, and predictive seller leads. We’re scratching the surface of what’s possible.

This role exists to change that. We need a Staff-level product leader who sees data the way a builder sees raw materials: not as something to store and display, but as something to shape into products that make agents more successful. You’ll own the data product strategy end-to-end, from unifying our listing data architecture to shipping the first wave of new products at a pace that only AI-native ways of working make possible.

You must be AI-native. Not just familiar with AI tools. You think in AI-first terms when you scope products, accelerate your own work, and design experiences. You use AI to deliver at a pace and quality bar that would be impossible without it. That’s not a nice-to-have for this role. It’s the baseline.

• Lead the convergence of agent-managed listing content and MLS-sourced search data onto a single, central architecture, resolving divergent schemas, compliance requirements, and ownership models.
• Own the Listing Suite product vision and delivery, creating a unified experience where agents manage all their listings, both agent-managed content and MLS-sourced data, in one place.
• Partner with data engineering to define the unified data model, migration strategy, and phased rollout plan.

• Define and ship AI-powered search to beta, transforming how consumers discover listings on agent websites. Move beyond filters to natural language, lifestyle-based discovery.
• Work closely with engineering to scope the AI/ML components and define what “great” looks like for search relevance and personalization.

• Within your first 60 days, deliver a prioritized data product roadmap that maps LP’s MLS data asset and enrichment opportunities to high-impact product concepts.
• The roadmap should span agent-facing tools (CMAs, market intelligence, predictive seller leads, listing analytics), consumer-facing experiences (home valuation, AI search concierge), and brokerage analytics (market share, agent performance, recruitment intelligence).
• Include build/buy/partner analysis, revenue potential estimates, and a phased execution plan.

• Ship the first net-new data product within 4 months, leveraging LP’s existing data foundations to move fast.
• Deliver at least 3 net-new data products to market within your first 12 months, establishing a repeatable cadence of high-impact releases.
• Own each product end-to-end: problem framing, scoping, spec, delivery, launch, and iteration.

• Report to the Director of Product and partner daily with data engineering, application engineering, design, and product peers.
• Operate as a force multiplier. One person delivering the output of a small team by leveraging AI, systems thinking, and relentless prioritization.
• Drive alignment across engineering, data,…