Senior Data Product Manager

Job Type


Full-time

Description


Job Summary

This role sits at the intersection of executive strategy and technical implementation, evaluating where we are, identifying the gaps, and charting a course for where we need to go. The SDPM is responsible for designing new customer-facing data products while also ensuring our internal data operations are efficient, reliable, and built to scale.


This role demands genuine expertise in the nuance and complexity of MLS data and a deep understanding of how data moves through the real estate industry.


The SDPM reports directly to the Senior Director of Product and works closely with engineering, data, sales, customer success, and executive leadership.
Key Responsibilities

Data Strategy and Roadmap

• 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.
• Stay ahead of where the real estate data industry is heading and bring forward-looking recommendations to product and executive leadership before the market forces our hand.

Data Product Development and Delivery

• Own the design and delivery of new customer-facing data products, from problem framing and scoping through launch and iteration.
• Identify the most valuable ways to surface Elm's MLS data for real estate professionals, including pre-listing intelligence, market analytics, listing performance insights, and comparative market tools.
• 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.
• Collaborate closely with engineering, data infrastructure, design, sales, and customer success teams to align data product priorities with broader business goals.
• Establish a repeatable cadence for data product delivery, bringing the same structure and discipline to data product rollout that the PMM brings to feature launches.

MLS Data Expertise and Industry Knowledge

• Develop and maintain deep expertise in MLS data: how it is structured, how it is licensed, how it flows through the industry, and what compliance and display requirements govern its use.
• Become Elm's internal authority on IDX, RETS, and RESO standards, and the broader data ecosystem our products depend on.
• Build and manage relationships with MLS organizations and technology partners to identify opportunities to access, enrich, or commercialize data in ways that benefit our customers.

Internal Data Operations and Efficiency

• 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.
• Ensure data quality, lineage, and governance are built into the platform in ways that support both customer-facing products and internal analytics.
• Bring a product mindset to operational problems, asking not just how we fix an issue but how we design systems that prevent it at scale.

Requirements


Required Skills and Experience:

• 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. You have built products on top of MLS feeds and understand the nuance.
• 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. You understand how technical choices shape product outcomes.
• Strong strategic thinking paired with a bias toward execution. You can develop a long-term roadmap and then roll up your sleeves to get the first product shipped.
• Excellent written and verbal communication skills. You can 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.

Preferred Skills and Experience:

• Experience as the first or foundational data product hire at a company. You know what it means to build the function from scratch and have done it before.
• Familiarity with how AI and machine learning can be applied to data products, including where these tools create genuinely new product capabilities and where they do not. You are comfortable incorporating AI-informed approaches into your product thinking.
• Experience working with external data partners, including MLS organizations, data vendors, or technology integrators, and managing those relationships to drive product outcomes.
• Background in real estate, prop-tech, or adjacent industries where data quality and freshness are directly visible to customers.

Salary Description


$140,000 - $180,000