Lead, Inventory Operations

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.

Compass International Holdings is seeking a Lead, Inventory Product, Data & Ops to make sure our inventory products work as promised across all ten brands, and to rebuild how that work gets done with AI.

You will report to the Director, Inventory Product, Data & Ops. This team owns the technical and operational backbone of listing distribution: when a listing moves from an agent to the MLS, our agent platform, our brand websites, and portals, we make sure it happens correctly, on time, and per the seller's instructions. The Director sets roadmap priorities and MLS strategy.

You own the operating engine underneath it: testing and validating what ships, helping build the AI systems that run our daily processes, keeping our reporting accurate, and keeping every workstream documented, tracked, and organized.

This is a hybrid seat. You understand the business well enough to know what matters to an agent and a seller, and the technology well enough to sit with Product and Engineering, read a spec, and see where it will break. You are AI-first by default. Not someone who only uses AI to move faster on their own work, but someone who builds, stress tests, and deploys AI systems.

Every inventory program Compass International Holdings runs depends on the product doing what we told agents and clients it would do. This role is how we know it does. It is also how a small team operates at national scale: by letting AI run the work that used to take people, and freeing leadership to focus on where the product and the MLS landscape go next.

At Compass You Will

• Own day-to-day execution of QA testing and quality validation (including secret shopping) for inventory products across the MLS, agent platform, brand websites, and portals
• Build and maintain standard testing practices: test plans, scenario libraries, pass/fail criteria, defect severity levels, and readout templates, so every test runs the same way no matter who runs it
• Coordinate offshore testing teams: scope the work, write clear test instructions, set turnaround expectations, and review output against a quality bar
• Partner with Product and Engineering as new features approach release; read requirements, map the scenarios and edge cases that need coverage (by brand, market, MLS rule set, listing status, and seller instruction), and get tests designed before launch rather than after
• Organize test readouts: synthesize results, prioritize defects by business impact, and bring a clear recommendation to the Director, Product, and brand stakeholders
• Track defects to resolution and confirm fixes in production through regression testing
• Apply AI to testing itself, from generating scenario coverage off a requirements doc to automating repeatable checks and secret shopping
• Support technical readiness for new launches by validating that products work as expected before they reach agents

• Be the team's system of record: keep test plans, results, defects, automations, SOPs, and decisions documented, current, and easy to find
• Build and maintain the trackers the team runs on (testing cycles, automation builds, open issues, requests, and cross-functional commitments) so status is always visible without anyone having to ask
• Organize every cross-functional interaction with Product, Engineering, Data & Analytics, offshore teams, and brand stakeholders: notes, decisions, action items, owners, and due dates, with follow-through until each item is closed
• Document every automation so others can understand, audit, maintain, and improve it
• Keep a clean record of product behavior, known issues, and MLS rule interpretations so answers never live in one person's head
• Set documentation and tracking standards for the team, so the Director and partners can get full context fast

• Help build, test, and deploy AI automations for the processes the Director and team have prioritized, so AI owns the work end to end and people review exceptions
• Prototype quickly by vibe coding, then stress test before anything goes live: edge cases, bad inputs, volume, and failure scenarios
• Harden prototypes into systems that run daily in production, not one-off scripts or…