Senior Product Manager, Data & AI Products

Realtor.com Careers•Austin, TX

8h•Hybrid

About The Position

Realtor.com® is seeking a Senior Product Manager to join their Data & AI Products team. This role will focus on developing and managing the tools and marketplace that enable internal teams to publish, discover, and reuse data products. The position involves owning the product lifecycle from conception to launch and ongoing support, ensuring data products are trusted, well-documented, and meet service-level expectations. The Senior Product Manager will also work on making selected products available for external use. This role is crucial in transforming raw data into reusable products that power decisions across the company and contribute to Realtor.com's mission of empowering people to find their way home.

Requirements

Typically 8 or more years of product management experience in technology, marketplace, data, platform, SaaS, or a related environment; equivalent experience will be considered.
A track record of owning a product area and shipping outcomes that people actually used.
Experience running an intake and backlog: taking many competing requests and turning them into a prioritized plan people can see.
Strong data and analytics fluency. Understanding of how data is produced, managed, served, and consumed, and the importance of clear definitions, ownership, quality, and trust.
Ability to discuss pipelines, data models, and data quality with technical and non-technical audiences.
Strong at discovery: talking to users, reading usage data, and turning both into decisions.
Ability to define product metrics, use data to make decisions, and make the case for what to fund.
Excellent prioritization and problem-solving skills in ambiguous, fast-changing situations.
Experience writing clear requirements and working closely with engineering through delivery.
Clear communicator who can align multiple teams around a common goal without formal authority.
A high bar for product quality, trust, operational readiness, and attention to detail.
Bachelor's degree or equivalent experience.

Nice To Haves

Experience turning recurring reports or one-off data requests into reusable products or self-serve tools.
Experience with data products, data platforms, APIs, or B2B data.
Experience taking proprietary data or insights to external customers.
Experience with a marketplace, data catalog, developer platform, or self-serve internal platform.
Working SQL proficiency; Snowflake experience is a plus.
Familiarity with data governance, including metadata, lineage, catalogs, stewardship, access management, or certification.
Experience in real estate, proptech, marketplaces, or consumer internet.

Responsibilities

Set direction and own the roadmap for the product area, keeping it current as priorities change.
Turn company and data-team goals into a concrete, prioritized plan of products to build and improve.
Decide what to build, what to defer, and what to stop, making those calls clearly.
Find ways to make data easier to find and reuse and cut duplicated, one-off work.
Own intake for internal product and enhancement requests: capture, triage, and prioritize them into the roadmap.
Keep a single, visible backlog so the team and stakeholders know what is coming and why.
Keep stakeholders informed on status, decisions, and timelines and push back when an ask is not worth it.
Engage internal teams who use the data (analysts, product managers, engineers, business teams) and where relevant, external customers, to understand their needs and pain points.
Use usage data and direct feedback to decide what to build and to confirm it worked.
Ensure the team solves the underlying need, not just the specific table or report someone asked for.
Turn ambiguous asks into clear briefs, requirements, and acceptance criteria for engineers.
Partner with engineering to ship in small, value-adding increments.
Take products through build, certification, launch, and ongoing support.
Set up documentation, ownership, adoption, and service-level expectations for each product.
Remove blockers and keep partners aligned on decisions, dependencies, and risks.
Define key metrics to measure product usage, trust, and value (e.g., adoption, time-to-answer, quality, revenue).
Monitor metrics and act on them: scale what works, fix or stop what does not.
Hold the team accountable for outcomes, not just activity or feature count.
Keep engineering, analytics, governance, privacy, and business partners aligned on shared goals.
Build trust with senior stakeholders and communicate progress, trade-offs, and decisions plainly.
Represent the product area in planning and portfolio reviews.
Support other product managers and help improve team processes.
Build the tools and marketplace that let teams publish, find, and reuse trusted data products.
Work with the team that makes data easy to query in plain language and through AI tools, ensuring shipped products are easy to use for people and those tools.