AI Operations & GTM Engineer

Join LogicMonitor, the AI-first hybrid observability platform, as a GTM Engineer. In this role, you will build systems that power customer lifecycle reporting and operations for a fast-scaling AI business. You will connect various data sources into one usable customer view, surface customer health and product adoption signals, and build executive-facing reporting and visualizations. The ideal candidate has 5+ years of experience in customer operations, data engineering, or GTM engineering, and is comfortable working with messy source data and reconciliation logic.

• Construire la couche de données opérationnelles des clients, en intégrant Salesforce, Jira, Langfuse, Snowflake et d'autres sources.
• Développer des rapports exécutifs, des visualisations et des vues opérationnelles pour les comptes, la santé, l'adoption et les lectures de direction.
• Traduire les définitions de cycle de vie et les critères d'entrée/sortie de phase en exigences système, et maintenir les intégrations et la logique de réconciliation.
• It is a strong fit for someone who can translate messy operating needs into practical workflows, reporting, and system logic that help leaders make decisions from data
• Strong communication skills and an eye for executive-level visual storytelling
• Deep curiosity about AI tools, systems, and applied workflows
• Salesforce data model familiarity
• Understanding of data modeling, data architecture, and how source systems feed operational reporting
• This is a builder role for someone who is curious, business- and data-fluent, and excited about AI
• Strong business acumen and comfort connecting metrics to operating decisions
• 5+ years in customer operations, lifecycle operations, CX operations, RevOps, Sales Ops, BizOps, Product Ops, data engineering, analytics engineering, systems engineering, or GTM engineering
• Familiarity with Kantata, Jira, Pendo, Langfuse, Snowflake, Power BI, Slack, or BI tools
• Comfort working with messy source data and reconciliation logic
• Comfort building working prototypes with AI-assisted coding tools, SQL, Python, scripts, or lightweight apps
• Experience integrating SaaS systems and REST APIs and JSON
• Hands-on experience with SQL and at least one scripting language, preferably Python
• Comfort analyzing trends, building forecasts, and turning data into operational recommendations
• Basic familiarity with working on SaaS systems in AWS/Kubernetes
• Ability to build quickly without overengineering
• Experience with operational data products or customer-facing internal systems
• Familiarity with event data, product telemetry, and usage analytics
• Experience in fast-moving AI, infrastructure, or SaaS environments