Senior Data Product Manager

🕒 July 24

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Elm Street

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💼 Consulting

📣 Marketing

🏠 Real Estate

Consulting • Marketing • Real Estate

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: 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.

🎯 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. • 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.