Program Manager, Inventory Strategy and Ops

Compass•New York, NY

1d•$142,200 - $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 reimagine 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. The position requires a strong understanding of agent and seller needs, as well as technical proficiency to collaborate with Product and Engineering. The ideal candidate is AI-first, capable of building, testing, and deploying AI systems. This role is crucial for ensuring product reliability and enabling a small team to operate at national scale through AI-driven processes.

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 walk 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 getting them adopted.
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.
Familiarity with listing data standards and feeds (e.g., RESO, IDX).

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 test instructions, set turnaround expectations, and review output.
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, from generating scenario coverage to automating checks.
Support technical readiness for new launches by validating product functionality.
Be 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: document 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: expected outputs, accuracy checks, error handling, alerting, and escalation paths.
Measure each automation's impact in hours returned, error rates, and turnaround time.
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, defining exception review processes and tracking adoption.
Partner with Data & Analytics to define reporting requirements for inventory products and programs.
Test and validate report and dashboard outputs, tracing discrepancies to root cause.
Monitor progress to goal on inventory metrics and flag risks.
Prepare and validate inventory metrics for Investor Relations.
Run manual validations and convert recurring checks into automated ones.
Help stand up new product offerings quickly, 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 by reproducing problems and gathering evidence.
Represent the team in field interactions, feeding recurring issues back into testing, SOPs, and the roadmap.
Serve as the team's working expert on product and automation behavior.