Senior Data Product Manager

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Elm Street

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🏠 Real Estate

☁️ SaaS

🤝 B2B

Real Estate • SaaS • B2B

Elm Street is a provider of integrated, end-to-end technology and marketing solutions for real estate professionals. The company offers a suite of cloud-based tools — including IDX Broker, IXACT Contact, OutboundEngine, Aiva, and VoicePad — to help agents, brokers, teams, and developer partners capture leads, manage contacts, build MLS-integrated websites, automate marketing, and streamline workflows. Elm Street positions itself as a SaaS platform combining innovative technology, marketing expertise, and dedicated support to help real estate businesses connect, convert, and retain clients.

📋 Description

• Evaluate Elm's current data landscape end to end • Develop a prioritized data product roadmap • Stay ahead of where the real estate data industry is heading • Own the design and delivery of new customer-facing data products • Partner closely with engineering and data teams • Collaborate closely with engineering, data infrastructure, design, sales, and customer success teams • Establish a repeatable cadence for data product delivery • Develop and maintain deep expertise in MLS data • Build and manage relationships with MLS organizations and technology partners • Identify opportunities to improve how Elm processes and manages data internally • Ensure data quality, lineage, and governance are built into the platform • Bring a product mindset to operational problems

🎯 Requirements

• 7+ years of product management experience, with at least 5 years focused on data products, data platforms, or data-intensive applications. • Deep, hands-on knowledge of MLS data: IDX, RETS, and RESO standards, compliance requirements, data licensing, display rules, and how listing data flows through the real estate ecosystem. • Proven track record of building data products from zero to one, not just maintaining or improving existing features, but creating net-new products that generated measurable business impact. • Comfortable partnering with data engineers on schema design, data modeling, and pipeline architecture decisions. • Strong strategic thinking paired with a bias toward execution. • Excellent written and verbal communication skills. • Experience working cross-functionally in a high-growth environment where alignment requires relationship-building, not authority. • Experience as the first or foundational data product hire at a company is preferred. • Familiarity with how AI and machine learning can be applied to data products is preferred. • Experience working with external data partners is preferred. • Background in real estate, prop-tech, or adjacent industries is preferred.