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VP of AI Search & Recommendations Job Opening In Austin – Now Hiring Realtor.com


Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home.

Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

Search is the front door to Realtor.com.

Your mandate: make our AI search & discovery experience the most trusted, most relevant, and fastest path to the right home—and do it at public-company scale.

As VP of Engineering, AI Search & Discovery, you’ll lead a multidisciplinary organization across AI Search Engineering, Relevance/Ranking, Query Understanding, Personalization, and ML Platforms, partnering tightly with Product, Data, and Revenue to move the company’s most important customer and business metrics.

This is a hands-on VP role: you’ll define the strategy, shape the architecture, hire and develop the leaders, and hold a very high bar on execution, reliability, and measurable outcomes.

**What You'll Do**

Set the bar and the direction

+ Own the 3 year technical strategy for AI search, discovery, and recommendations; align it to company OKRs and News Corp governance.
+ Establish a metrics-first culture: nDCG/ERR, CTR, lead quality, P50/P95 latency, experiment velocity, and infra cost per search.

Build & lead a world-class engineering organization

+ Lead the team across core search, ranking, query understanding, personalization, and ML platform; grow and coach an org spanning software engineers, relevance scientists, and ML engineers.
+ Raise the talent bar: recruit senior technical leaders and principal-level ICs; set clear career paths and performance standards.

Own the search stack end-to-end

+ Retrieval & indexing: hybrid vector + semantic, data quality, dedupe, freshness, and geo/local considerations.
+ Ranking: multi-objective LTR (relevance, quality, monetization), session & user modeling, cold-start handling for new listings, image and text quality signals, and advanced re-ranking (including LLM-assisted ranking where it wins).
+ Query understanding: intents, entities, spell-correction, reformulation, facets, structured constraints, ambiguity resolution for neighborhoods/communities.
+ Personalization: embeddings & features, eligibility/guardrails, unbiased evaluation, and robust online/offline experimentation pipelines.
+ Evaluation & experimentation: offline suites, interleaving, online A/B, sequential testing; ship improvements continuously with safety rails.

Modernize the platform

+ Shape our ML & inference platform for low-latency ranking and re-ranking
+ Partner with platform teams on SLOs, cost, capacity planning, observability, and incident response (you’ll expect clean postmortems and durable fixes).
+ Advance pragmatic GenAI: RAG for search assistance, answer synthesis with citations, robust eval harnesses (task-specific metrics, human-in-the-loop), and cost/perf optimization.

Operate with rigor at a public company

+ Work with Legal/Privacy/Compliance on MLS data obligations, Fair Housing considerations, and AI governance; ensure robots/agents compliance and abuse/spam defenses.
+ Communicate with executive leadership and, when needed, Boards/partners; convert complex trade-offs into crisp, defensible decisions.

**What You’ll Bring**

+ Proven scale: You’ve led search/recommendation systems serving tens of millions of users or equivalent high-stakes marketplaces, with measurable lifts in relevance and revenue.
+ Depth in search & ML: 12+ years in large-scale search/recommendation, including hybrid retrieval, learning-to-rank, user modeling, and evaluation.

You’ve shipped multi-objective ranking safely in production.
+ GenAI pragmatism: Hands-on leadership integrating LLMs where they improve outcomes (e.g., re-ranking, query reformulation, answer synthesis) with strong offline/online evaluation discipline.
+ Platform and operations chops: Real-time inference, feature stores, streaming data, strong SRE partnership, and a habit of designing for latency, reliability, and cost.
+ People & org leadership: Built and scaled multi-disciplinary teams; hired/developed Directors and Principals; set culture, strategy, and execution cadence.
+ Executive communication: Clear storyteller able to align product, design, science, finance, legal, and revenue stakeholders on trade-offs and timelines.
+ Austin presence: Willing and able to work onsite at our Austin HQ (relocation required to make Austin your primary residence).

**What You’ll Own**

+ Core Search (indexing, retrieval, query understanding)
+ Ranking & Relevance Science (features, models, re-ranking, guardrails)
+ Personalization (session/user modeling, eligibility, privacy-aware features)
+ Evaluation & Experimentation (offline/online, human-in-the-loop)
+ ML/Inference Platform for search use-cases (latency-critical APIs, feature store)
+ Quality & Integrity (spam/fraud/abuse defenses; content quality signals)

**12-month Outcomes that Define Success**

+ Quality: Meaningful gains in nDCG/ERR and conversion/lead quality; improved first-result time and P95 latency on key surfaces.
+ Velocity: 2–3× increase in experiment throughput; reliable weekly relevance drops with automated evaluation.
+ Platform: Real-time re-ranking and feature pipeline in place; safe & measurable GenAI integrations where they outperform baselines.
+ Engineering Organization: Fully staffed leadership bench; clear succession and hiring plan; healthy engagement and retention.
+ Operational excellence: SLOs met, sharp incident posture, and a cost curve that bends the right way.

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home.

And you’ll find your way home too.

At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates.

In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law.

In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.


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Are You Looking for VP of AI Search & Recommendations Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Realtor.com adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for VP of AI Search & Recommendations typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for VP of AI Search & Recommendations Job Success

Realtor.com interview tips for VP of AI Search & Recommendations

Here are some tips to help you prepare for and ace your VP of AI Search & Recommendations job interview:

Before the Interview:

Research: Learn about the Realtor.com's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your VP of AI Search & Recommendations interview at Realtor.com, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Realtor.com's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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