Senior Data Product Manager

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Elm Street

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2016

💼 Beratung

📣 Marketing

🏠 Immobilien

Consulting • Marketing • Real Estate

Elm Street ist ein Anbieter von integrierten End-to-End-Technologie- und Marketinglösungen für Immobilienfachleute. Das Unternehmen bietet eine Suite von cloudbasierten Tools — einschließlich IDX Broker, IXACT Contact, OutboundEngine, Aiva und VoicePad — um Agenten, Maklern, Teams und Entwicklerpartnern zu helfen, Leads zu generieren, Kontakte zu verwalten, MLS-integrierte Websites zu erstellen, Marketing zu automatisieren und Arbeitsabläufe zu optimieren. Elm Street positioniert sich als SaaS-Plattform, die innovative Technologie, Marketingexpertise und engagierten Support kombiniert, um Immobilienunternehmen zu helfen, Kunden zu verbinden, zu konvertieren und zu binden.

Beschreibung

• Evaluate Elm's current data landscape end to end: what we have, how it is being used, and where the gaps are between our current capabilities and what is possible. • Develop a prioritized data product roadmap that maps our MLS data assets to high-impact product opportunities, spanning customer-facing tools, market intelligence products, and operational improvements. • Own the design and delivery of new customer-facing data products, from problem framing and scoping through launch and iteration. • Partner closely with engineering and data teams to translate product vision into clear specifications, ensuring the underlying data architecture supports what the product needs to do. • Identify opportunities to improve how Elm processes and manages data internally, including reducing manual effort, improving data quality and response times, and decreasing customer-facing issues tied to data problems.

🎯 Anforderungen

• 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. • Excellent written and verbal communication skills, able to translate complex data concepts into clear, compelling narratives for non-technical audiences including customers, sales teams, and executive leadership. • Experience working cross-functionally in a high-growth environment where alignment requires relationship-building, not authority.