Elm Street logo
Elm Street

Marketing Technology that Creates Connection.

Senior Data Product Manager

Location

United States

Posted

12 hours ago

Salary

$140K - $180K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglish

Job Description

Senior Data Product Manager

Elm Street

• 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

Job 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.

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