AI for Real Estate

AI Real Estate Jobs: Live Listings and Hiring Trends

AI-skilled real estate roles are growing faster than the broader market. Here's what's hiring right now, who's hiring most, and what they're paying.

AI real estate jobs hiring right now

AI Pulse tracks 10,872 job postings across all functions. Of those, 10% of real estate postings mention AI as a required or preferred skill. We refresh the dataset weekly.

The listings below are live and AI-skilled. Click through for the full description, salary band, and apply link.

Who's hiring AI-skilled real estate pros

The companies hiring most aggressively for AI-skilled real estate roles fall into four buckets:

  1. AI labs and foundation model companies. Anthropic, OpenAI, Google DeepMind, Meta AI, and adjacent companies are building out their real estate functions to support enterprise rollouts. They pay top of market and expect candidates to already use AI fluently.
  2. AI-native scale-ups. Companies built around AI from day one (Glean, Hex, Writer, Cursor, Perplexity, Cresta, Harvey, Decagon) are scaling their real estate teams. They're often the best comp-to-equity tradeoff for ambitious candidates.
  3. Big tech AI orgs. Google Cloud AI, AWS Bedrock, Microsoft AI, Apple AIML are hiring real estate pros to support their AI products. These roles offer stability plus AI exposure inside an established company.
  4. Public companies retooling. Stripe, Salesforce, ServiceNow, and others are rebuilding their real estate functions around AI. The roles often pay less than scale-ups but offer scope and platform.

Common requirements in AI real estate job descriptions

The most-cited requirements in AI-skilled real estate postings, in order of frequency:

What's notably absent from most real estate postings: ML PhD, Python expertise, deep math. AI roles outside engineering rarely require those.

What AI real estate jobs are paying

Based on AI Pulse's salary data, AI-skilled real estate roles pay 36% more than non-AI real estate roles. Median total compensation:

For the full salary breakdown including geo cuts and top-paying companies, see the salary page.

What gets you to the interview round

For AI-skilled real estate roles, three things move you up the stack:

  1. A specific AI workflow you've shipped. One example with metrics beats five vague ones. Lead with this in your application materials.
  2. Tool-specific fluency. Name the AI tools you use, what you use them for, and what you'd do differently if you started over.
  3. An eval or quality story. Almost no one mentions how they evaluate AI output quality. Bringing it up signals seniority.

For the full transition path including comp at each level, see the career path page.

FAQ

How many AI real estate jobs are open right now? +

AI Pulse tracks roughly 1,087 live AI-skilled real estate postings at any given time, drawn from a 10,872-job dataset that refreshes weekly. The trendline is up across every quarter we've measured.

Where do I apply to AI real estate jobs? +

Browse the AI Pulse job board for live AI-skilled real estate postings. AI labs, AI-native scale-ups, big tech AI orgs, and public companies retooling around AI are the four buckets hiring most actively.

Do AI real estate jobs require an ML background? +

Usually no. Outside of AI engineering specifically, most AI roles want working fluency with AI tools, not ML credentials. Domain expertise plus AI literacy is the winning combination.

Are AI roles mostly remote? +

It depends on the company type. AI labs lean hybrid in SF, NYC, or London. AI-native scale-ups lean remote. Public companies vary. Remote AI-native is often the best pay-per-hour option.

What if I'm a strong real estate pro without AI experience? +

Pick one AI tool from the tools page, build a workflow that maps to your existing job, document the result, and add it to your resume. Most candidates skip this step. The few who don't move ahead fast.

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