7 months ago
Responsibilities
- Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
- Support ML workflows involving training data, evaluation, embeddings, and feature pipelines.
- Solve distributed-systems challenges related to reliability, latency, and scale.
- Improve observability, tooling, and developer experience for ML and data systems.
Requirements
- At least three years of experience building data platforms, ML infrastructure, or backend systems.
- Strong fundamentals in distributed systems and streaming architectures.
- Experience with modern data stack tools such as queues, warehouses, and orchestration systems.
- Comfort coding in Go, Python, or a similar language.
Categories
About Monaco
Monaco builds an AI-native revenue platform that unifies core go-to-market tools—CRM, sequencing, enrichment, call recording, and pipeline management—into one system for B2B sales teams. The company sells its software by subscription, consolidating 6–10 separate tools into an integrated workflow for startups and growth-stage companies. Monaco is privately held and venture-backed by Benchmark, Founders Fund, and Human Capital.