Senior Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Assess Elm's existing data landscape comprehensively.

• Create a prioritized roadmap for data product development.

• Stay informed about the future trends in the real estate data sector.

• Take charge of the design and implementation of innovative customer-facing data products.

• Collaborate closely with engineering and data teams.

• Work in partnership with engineering, data infrastructure, design, sales, and customer success teams.

• Establish a consistent rhythm for data product delivery.

• Cultivate and sustain deep expertise in MLS data.

• Build and nurture relationships with MLS organizations and technology partners.

• Identify areas for enhancement in how Elm processes and manages data internally.

• Ensure that data quality, lineage, and governance are integral to the platform.

• Apply a product-oriented approach to operational challenges.

⛳️ Requirements

• Over 7 years of product management experience, with at least 5 years concentrating on data products, data platforms, or data-intensive applications.

• Profound, hands-on understanding of MLS data: IDX, RETS, and RESO standards, compliance requirements, data licensing, display rules, and the flow of listing data through the real estate ecosystem.

• Demonstrated success in developing data products from the ground up, not merely enhancing existing features, but creating entirely new products that deliver measurable business outcomes.

• Comfortable collaborating with data engineers on schema design, data modeling, and pipeline architecture decisions.

• Strong strategic thinking abilities combined with a focus on execution.

• Exceptional written and verbal communication skills.

• Experience working cross-functionally in a rapidly growing environment where alignment hinges on relationship-building rather than authority.

• Preference for candidates who have served as the first or foundational data product hire at a company.

• Familiarity with the application of AI and machine learning in data products is preferred.

• Experience with external data partners is preferred.

• Background in real estate, prop-tech, or related industries is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and growth.

• A collaborative and innovative work environment.