Platform Engineer, Revenue Operations & Data Infrastructure
Overview
You own the revenue data infrastructure at Nooks, a seed-stage AI lab scaling to 1,500+ customers. You'll inherit and architect a system spanning HubSpot, a data warehouse, 80+ production services, and an AI orchestration layer where agents execute real RevOps work. Reporting to the Director of Revenue Engineering, you'll partner with Sales, CS, SDR, RevOps, Finance, and Engineering to keep the GTM engine trusted and fast. This role blends hands-on HubSpot administration with production code, making you the backbone of every metric the executive team sees.
What You'll Do8
- 1Own the revenue data warehouse: design schemas, model data, orchestrate pipelines with SQL and Python, and tune performance for Postgres or Snowflake.
- 2Run and evolve 80+ production services covering churn-signal syncs, account scoring, and enrichment, including monitoring, alerting, and incident response.
- 3Extend AI agent infrastructure by shipping new specialist agents that automate recurring GTM workflows using Claude Code or Cursor.
- 4Maintain data integrations between HubSpot, product databases, billing, and enrichment tools, building error handling and backfill tooling.
- 5Administer HubSpot Sales CRM: design object and field architecture, permissions, workflows, and governance aligned with best practices.
- 6Clean up CRM fields and deduplicate records so the system stays accurate as the company scales.
- 7Optimize HubSpot for rep experience by designing views and automations that reduce friction.
- 8Set the technical direction for the estate: evaluate new data and AI tools, make build vs. buy calls, and document architecture for the team.
Requirements8
- 14+ years in GTM systems, RevOps engineering, or CRM administration with hands-on work building AI-assisted systems.
- 2Hands-on HubSpot Sales Hub administration: workflows, property architecture, permissions, and data governance.
- 3Shipped agentic applications with AI coding tools like Claude Code or Cursor that run real business processes in production.
- 4Proven track record cleaning up and governing CRM data at scale, designing for rep experience.
- 5Strong SQL and working Python; production experience with Postgres, Snowflake, or BigQuery.
- 6Experience building and operating data pipelines and third-party API integrations, including error handling and monitoring.
- 7High ownership mentality: run toward ambiguity, fix root causes, leave systems documented.
- 8Pragmatic judgment: weigh build vs. buy, follow best practices, explain decisions to non-engineers.
Salary Insight
$200 - $230k per year
Location
Required Skills
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