{"id":57960,"url":"https://alion.io/job/monaco-data-platform-engineer","title":"Data Platform Engineer","company":{"id":19526,"name":"Monaco","domain":"monaco.com","url":"https://alion.io/company/monaco","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":12,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-02-10T20:48:20Z","employer_posted_date":"2026-02-10","last_verified_at":"2026-10-17T14:18:42Z","board_verified":true,"closed_at":null,"days_open":248,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":248},"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.\nWe 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.\nWe've raised $85M in our Series B from Founders Fund, Benchmark, and Human Capital, and our founders previously led Brex, Apollo, and Clari.\nCome join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.\nThe Role\nWe'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.\nThis is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.\nWhat You'll Do\nBuild scalable pipelines and event-driven systems for ingesting, transforming, and serving data.\n\nSupport ML workflows: training data, evaluation, embeddings, feature pipelines.\n\nSolve distributed systems challenges around reliability, latency, consistency, and scale.\n\nImprove observability, tooling, and developer experience for data, ML, and agent systems.\n\nWhat You'll Bring\n5+ years building data platforms, ML infrastructure, or backend systems.\n\nDeep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.\n\nAbility to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.\n\nLocation\nSan Francisco. We're an in-person team - 5 days in the office. 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