AI Operations & GTM Engineer
Core
Build the canonical customer operating data layer and executive-facing reporting systems to unify customer lifecycle signals (sales, implementation, adoption) for an AI-first observability platform.
Role type
GTM Engineer (Data & Systems Builder)
Builds
Customer lifecycle reporting, operating views, and data integrations for a fast-scaling AI business.
Domain
SaaS / IT Infrastructure Management / Customer Operations
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, SaaS system integration, REST APIs, Salesforce data modeling, data architecture, reconciliation logic, data governance, AI-assisted coding
Preferred skills
Event data analysis, product telemetry, usage analytics, AWS/Kubernetes, operational data products
Technologies
Salesforce, Jira, Langfuse, Snowflake, Power BI, Slack, AWS, Kubernetes
Responsibilities
Connect diverse data sources into a unified customer view; surface customer health and adoption signals; build executive reporting and visualizations; translate lifecycle definitions into system requirements; maintain integrations and data quality standards; support automation and semantic layers for BI.
Seniority
Mid-Senior, hands-on IC