Real-time streaming pipeline experience with kafka
Actively AI is building superintelligent machines for Enterprise GTM organizations to increase productivity per rep by powering day-to-day operations for outbound teams
Job Summary
Actively AI is building superintelligent machines for Enterprise GTM organizations to increase productivity per rep by powering day-to-day operations for outbound teams.
The role involves owning the ingestion and transformation layer to normalize diverse, messy inputs into clean, agent-ready representations that drive real-time decisions.
Candidates must be self-directed professionals capable of architecting reliable data foundations that handle customer-specific variations across thousands of accounts without becoming brittle.
Matching Summary
Actively AI is building superintelligent machines for Enterprise GTM organizations to increase productivity per rep by powering day-to-day operations for outbound teams.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
5+ years designing core data infrastructure
Python SQL DBT BigQuery or Snowflake proficiency
Real-time streaming pipeline experience with Kafka
Experience building systems for ML models and agents
End-to-end reliability and observability ownership
Nice-to-have
Prior experience at data infrastructure companies
Familiarity with vector pipelines and embedding strategies
Experience in financial or compliance data domains
Open-source contributions to data tooling
Key Requirements
5+ years experience in high-growth data environments
Proven track record building data platforms from scratch
Deep expertise in operational data systems not just analytics