Senior Manager, Data & AI

🕒 May 20

🇺🇸 United States – Remote

💵 $90k - $150k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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PLACE

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🏠 Real Estate

☁️ SaaS

Real Estate • Technology • SaaS

PLACE is an all-in-one real estate services and technology platform designed for top teams in any brokerage. It simplifies the process of running a profitable real estate business by providing tools for team owners and agents to grow their teams, boost productivity, retain talent, and improve operations. With over 275 locations across the US and Canada, PLACE also connects clients with top agents to facilitate home buying and selling, enhancing the overall experience with advanced technology and business services.

📋 Description

• Own and execute the AI product strategy and roadmap across document intelligence, workflow automation, and decisioning • Embed AI deeply into the mortgage Point of Sale, enhancing both borrower and loan officer experiences • Lead and develop a small team of AI and data engineers, setting direction and removing blockers • Partner cross-functionally with Product, Engineering, and Customer Experience to align AI initiatives with the broader product ecosystem • Design, scope, and ship AI-powered features from concept through production and iteration • Evaluate vendors, models, and tools with a strong perspective on build vs. buy tradeoffs • Establish frameworks for AI feature intake, prioritization, and delivery • Ensure strong data foundations by collaborating on pipelines, schemas, and data quality • Operate with urgency—shipping quickly, learning from production, and iterating continuously

🎯 Requirements

• 8+ years in product management, including 3+ years building and shipping AI/ML products in production • Proven track record delivering AI features end-to-end—from problem definition through deployment and iteration • Experience leading or mentoring AI and/or data engineers in a hands-on, player-coach capacity • Strong technical fluency: comfortable with APIs, model evaluation, and collaborating directly with ML engineers • Solid data engineering understanding: pipelines, schemas, data quality, and supporting infrastructure • Experience with LLM-based systems (prompting, RAG, document intelligence, etc.) • Demonstrated ability to ship quickly, iterate in production, and learn through execution • Excellent product craftsmanship: writes clear specs, leads cross-functional alignment, and communicates with executives • Strong cross-functional leadership across Product, Engineering, and Customer Experience • Data-driven decision maker with clear prioritization discipline and ability to weigh tradeoffs.

🏖️ Benefits

• PTO as needed • Comprehensive insurance coverage • 401(k) match • Stock option grants • Stock purchase plan