Data Platform Engineer at Monaco (San Francisco, CA)
Monaco· San Francisco, CA·
Role details
Summary
Monaco is seeking a Senior Data Platform Engineer to build and scale its AI-native data and ML infrastructure in San Francisco. The role involves designing event-driven pipelines, supporting ML workflows, and solving distributed systems challenges to power the company's unified revenue platform.
Job description
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, consolidating 6–10 disconnected tools into a single platform built for the AI era.
We launched publicly in Feb 2026, are already 65 people, and have strong early product-market fit generating millions in ARR within months of launch. You'll have the chance to both scale our core systems and build new features from 0 to 1.
We've raised $85M in our Series B from Founders Fund, Benchmark, and Human Capital, and our founders previously led Brex, Apollo, and Clari.
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.
THE ROLE
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. This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.
WHAT YOU'LL DO
- Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
- Support ML workflows: training data, evaluation, embeddings, feature pipelines.
- Solve distributed systems challenges around reliability, latency, consistency, and scale.
- Improve observability, tooling, and developer experience for data, ML, and agent systems.
WHAT YOU'LL BRING
- 5+ years building data platforms, ML infrastructure, or backend systems.
- Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.
- Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.
LOCATION
- San Francisco. We're an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.
Why work at Monaco
- Culture: Fast-paced startup environment with a focus on building a "world-class revenue engine" for other startups. Emphasis on operational excellence and customer impact.
- Work policy: Hybrid workspace – employees engage in a combination of remote and on-site work; primary office in San Francisco. builtin.com
- Perks: Roles span engineering (AI, full-stack, platform), product design, and forward-deployed customer success; the team values immediate impact and "effortless onboarding" for customers.