Lead, Inventory Operations

Compass•New York, NY

2d•$142,000 - $158,000•Hybrid

About The Position

Compass International Holdings is seeking a Lead, Inventory Product, Data & Ops to ensure inventory products function as intended across all ten brands and to rebuild operational processes using AI. This role reports to the Director, Inventory Product, Data & Ops and is responsible for the technical and operational backbone of listing distribution, ensuring listings are processed correctly, on time, and according to seller instructions. The position requires a blend of business understanding (agent and seller needs) and technical acumen to collaborate with Product and Engineering. The ideal candidate is AI-first, capable of building, testing, and deploying AI systems to manage daily processes at scale, freeing up leadership for strategic initiatives. This role is crucial for maintaining the integrity of Compass's inventory programs and enabling the company to operate efficiently at a national level through AI-driven automation.

Requirements

4+ years in product operations, business or technical operations, QA, strategy and operations, or a similar role in a technology-driven environment.
Hybrid of business and technical skills: ability to explain product issues to brand leaders and guide engineers through reproduction steps.
Composure and credibility in high-stakes conversations with agents and sales leaders.
Hands-on experience vibe coding, stress testing, and deploying AI automations that run in production (e.g., LLM APIs, agentic workflows, workflow platforms like n8n, Zapier, Make, or Workato, or Python scripting).
Experience designing and running structured QA or UAT programs: test plans, scenario coverage, defect tracking, and readouts.
Fluency in how product teams work: reading PRDs and technical specs, understanding APIs and data feeds conceptually, working in Jira or similar tools, and navigating release cycles.
Experience directing offshore or vendor teams, including writing clear instructions and holding a quality bar.
Strong data skills: SQL, advanced spreadsheets, and a BI tool such as Looker or Tableau.
A systems thinker who documents while building and designs for the failure case.
Experience rolling out new workflows to operational teams and ensuring adoption.
Sound judgment with sensitive data in a regulated environment, including knowing when to involve Legal or Compliance.
Exceptionally organized and detail-oriented, with a track record of building documentation and trackers.
Comfortable with ambiguity and able to execute independently.

Nice To Haves

Real estate brokerage, MLS, listing syndication, or proptech experience is a strong plus.
Familiarity with listing data standards and feeds (e.g., RESO, IDX) is a plus.

Responsibilities

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.
Coordinate offshore testing teams: scope work, write clear test instructions, set turnaround expectations, and review output against a quality bar.
Partner with Product and Engineering on new features, mapping scenarios and edge cases for coverage before launch.
Organize test readouts: synthesize results, prioritize defects, and present recommendations to stakeholders.
Track defects to resolution and confirm fixes through regression testing.
Apply AI to testing processes, including generating scenario coverage and automating checks.
Support technical readiness for new launches by validating product functionality.
Serve as the team's system of record for documentation: test plans, results, defects, automations, SOPs, and decisions.
Build and maintain team trackers for testing cycles, automation builds, open issues, requests, and cross-functional commitments.
Organize cross-functional interactions, documenting notes, decisions, action items, owners, and due dates.
Document all automations for understanding, auditing, maintenance, and improvement.
Maintain a record of product behavior, known issues, and MLS rule interpretations.
Set documentation and tracking standards for the team.
Help build, test, and deploy AI automations for prioritized processes.
Prototype AI solutions quickly and stress test them before deployment.
Harden prototypes into production-ready systems.
Set up monitoring for each automation, including error handling and escalation paths.
Measure each automation's impact on efficiency and error rates.
Build governance into automations, partnering with Legal, Compliance, Privacy, and Security.
Train support, brand-facing, and operations teams on new workflows.
Manage the change from manual to automated work, tracking adoption and feedback.
Partner with Data & Analytics to define reporting requirements and validate report outputs.
Monitor inventory metrics and flag risks to the Director.
Prepare and validate inventory metrics for Investor Relations.
Run manual validations and convert recurring checks into automated ones.
Assist in launching new product offerings, including testing, SOPs, tracking, and reporting.
Keep SOPs governing listing management current.
Handle escalations from agents and sales leaders with urgency and clarity.
Diagnose technical issues behind escalations and bring root cause hypotheses to Product and Engineering.
Represent the team in field interactions and feed recurring issues back into the product lifecycle.