Data Platform Engineer at Monaco

<p style="min-height:1.5em">Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack (CRM, sequencing, call recording, enrichment, pipeline management) with one unified system. We’re consolidating 6–10 disconnected tools into a single, purpose-built platform and redefining what’s possible when all the data lives under one roof in the age of AI - this is a category-defining shift, not an incremental improvement.</p><p style="min-height:1.5em"><br />We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market fit, creating millions in ARR in only a few months post-launch. Opportunities exist in both scaling core systems and workflows, and building new cutting edge features from 0 to 1.</p><p style="min-height:1.5em"><br />We’ve raised $85M through our Series B from legendary investors including Founders Fund, Benchmark, and Human Capital. Our founders are industry veterans who previously led companies like Brex, Apollo, and Clari.</p><p style="min-height:1.5em"><br />Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">We're looking for a Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on the foundation that makes models, agents, and workflows actually useful in production.</p><p style="min-height:1.5em"><br />This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What you'll do:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.</p></li><li><p style="min-height:1.5em">Support ML workflows: training data, evaluation, embeddings, feature pipelines.</p></li><li><p style="min-height:1.5em">Solve distributed systems challenges around reliability, latency, consistency, and scale.</p></li><li><p style="min-height:1.5em">Improve observability, tooling, and developer experience for data, ML, and agent systems.</p></li></ul><p style="min-height:1.5em"><br /><strong>What we’re looking for:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">5+ years building data platforms, ML infrastructure, or backend systems.</p></li><li><p style="min-height:1.5em">Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.</p></li><li><p style="min-height:1.5em">Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.</p></li></ul><p style="min-height:1.5em"><br /><strong>Location:</strong></p><ul style="min-height: