Staff Engineer, Revenue Management & Intelligence
Core
Building AI-driven enterprise revenue intelligence platforms and predictive revenue systems.
Role type
Staff Software Engineer (AI/LLM & Distributed Systems)
Builds
Enterprise-grade revenue intelligence platform, AI-powered predictive systems, and cloud infrastructure.
Domain
SaaS / Enterprise Revenue Management / AI
Deliverable
production ML models | product features | infrastructure
Required skills
Java, distributed systems, cloud infrastructure (AWS/GCP), Kubernetes, LLM-powered agentic systems, message queues (Kafka), caching (Redis), SQL/NoSQL, observability
Preferred skills
AI tooling adoption, platform monitoring optimization, cross-functional leadership
Technologies
Java, Airflow, Kubernetes, Ray, Terraform, FastAPI, gRPC, Prometheus, Grafana, DataDog, Splunk, AWS, GCP, Kafka, Kinesis, Redis, Memcached, Postgres, MongoDB
Responsibilities
Shape future-proof interfaces for client-facing teams, conceptualize and build new features with cross-functional partners, lead large cross-functional projects, debug production issues and improve system reliability, improve engineering standards and AI tooling adoption
Seniority
Staff, hands-on IC with strategic impact
