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Lead QA for Data & AI features: design and run test strategies for ML/LLM outputs, write data validation in Python/SQL, implement Databricks pipeline checks, automate tests (Katalon/Playwright), validate APIs/ETL, monitor model performance and data drift, and collaborate across Engineering, Product, and Data to define acceptance thresholds and CI/CD quality gates.

Manage the end-to-end revenue lifecycle from contract execution through cash collection. Oversee quote-to-cash, billing, invoicing, revenue recognition (ASC 606), month-end close, reconciliations, audit support, and revenue reporting. Partner cross-functionally to optimize billing systems and controls (NetSuite, Zone Billing/Zuora) to reduce leakage and support scalability.

Own the product strategy and roadmap for M3's next-generation data platform, focusing on data unification, embedded analytics, AI-driven forecasting, and intelligent automation. Conduct customer discovery with hotel stakeholders, write developer-ready specs and user stories, define success metrics, lead cross-functional execution and go-to-market, and evaluate AI build/partner/acquire options to deliver hospitality-specific intelligence.

Own product marketing strategy: positioning, messaging, competitive intelligence, go-to-market execution, sales enablement, content creation, and cross-functional collaboration to drive adoption and revenue.

The GTM Systems Administrator manages the Salesforce stack, leading system operations, automation, data governance, reporting, and cross-functional collaboration for RevOps.

The Senior Data Engineer will design and build M3's cloud-native data platform, define architecture standards, enforce code quality, and mentor the data team while ensuring data governance and platform scalability.

Lead FP&A function, drive annual planning and rolling forecasts, partner with executive and GTM teams, build SaaS metrics and multi-year models, support investor/board reporting, improve FP&A tech stack, and deliver financial analysis for strategic decisions and M&A evaluation.

Lead coordination and lifecycle management of major production incidents: triage, severity validation, incident command, cross-team communication, RCA facilitation, post-incident follow-up, metrics ownership, process improvement, and occasional hands-on troubleshooting and defect validation. Participate in on-call rotation and ensure SOC 2/ISO-aligned security incident response.