Principal Engineer Revenue Management & Intelligence
Core
Designing and building the industry's first Predictive Revenue System, an AI-driven enterprise platform that enables revenue teams to make confident decisions based on real-time signals and historical data.
Role type
Principal Software Engineer (Revenue Intelligence & Distributed Systems)
Builds
Enterprise-grade AI-driven revenue intelligence platform serving thousands of customers globally
Domain
SaaS / Enterprise Revenue Management / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems architecture, Java, Cloud infrastructure (AWS/GCP), Kubernetes, Message queues (Kafka/Kinesis), SQL/NoSQL, Data warehouse modeling, Observability, API optimization
Preferred skills
None explicitly stated
Technologies
Java, Airflow, Kubernetes, Ray, Terraform, FastAPI, gRPC, Prometheus, Grafana, DataDog, Splunk, AWS, GCP, Lambda, Cloud Run, ECS, Kafka, Kinesis, Redis, Memcached, Postgres, MongoDB
Responsibilities
Shape future-proof interfaces for client-facing teams, lead large cross-functional projects, debug production issues across the stack, own architecture decisions and drive long-term technical strategy, mentor Staff and Senior engineers
Seniority
Principal, hands-on IC with strategic scope
