Senior AI Data Engineer
Core
Building and maintaining a trusted, enriched, AI-ready customer dataset by unifying signals from fragmented GTM systems (Salesforce, telemetry, etc.) to power sales forecasting, segmentation, and AI workflows.
Role type
Senior AI Data Engineer (Revenue Operations)
Builds
Canonical customer datasets, enrichment pipelines, deduplication/entity resolution systems, and AI-ready data pipelines for RAG/embeddings.
Domain
SaaS / Revenue Operations / Customer Data Management
Deliverable
production ML models | product features
Required skills
GTM data fluency (CRM, accounts, contacts, opportunities), AI-readiness (chunking, embedding strategy, metadata design), LLM application for extraction/classification, Python, senior-level SQL, cloud infrastructure orchestration (Airflow/Dagster), Elasticsearch/vector search.
Preferred skills
RevOps/GTM Systems engineering experience, Elastic Stack (ESRE) expertise.
Technologies
Python, SQL, AWS/Azure/GCP, Airflow, Dagster, Elasticsearch, Vector Search, LLMs.
Responsibilities
Design canonical datasets unifying GTM signals; prepare structured/unstructured data for downstream AI workflows; implement monitoring, drift detection, and lineage tracking; define data schemas and contracts for downstream teams.
Seniority
Senior, hands-on IC
