Platform Engineer, Revenue Operations

Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach. Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals. Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling. We’ve raised $70M+ from top VCs like Kleiner Perkins and tripled ARR each year for 3 years running.

About the role

The Platform Engineer owns the systems backbone and data infrastructure of our revenue organization, spanning CRM administration and the data and automation platform built around it. This role combines two crafts: (i) a builder who writes production code, designs data models, and ships AI-enabled internal tooling, and (ii) a hands-on CRM administrator who keeps HubSpot clean, well-governed, and optimized for the rep experience. You will report to the Director of Revenue Engineering and partner closely with Sales, CS, SDR, RevOps, Finance, and our Product and Engineering teams.

This role is based in San Francisco with a hybrid work week (3 days in-office expected: Mon, Tues, Thurs). Occasional travel for team onsites or trainings may be required.

Responsibilities

• Own the revenue data warehouse that consolidates CRM, product usage, and billing data: schema design, data modeling, pipeline orchestration, and performance
• Run and evolve a fleet of 80+ production services covering churn-signal syncs, account scoring, enrichment, and reporting, including monitoring, alerting, and incident response
• Build and extend our AI agent infrastructure: an orchestration layer of specialist agents that automate recurring RevOps and GTM work, from reporting to multi-step workflow execution
• Design and maintain integrations that move data between HubSpot, our product database, billing, enrichment tools, and the analytics layer, with error handling and backfill tooling
• Administer HubSpot Sales CRM as the platform's front end: object and field architecture, permissions, workflows, and governance built along CRM best practices
• Own CRM field and data cleanup, deduplication, and governance so the CRM stays accurate and trusted as the company scales
• Optimize HubSpot for rep experience, designing views, workflows, and automations so sellers spend their time selling rather than fighting the system
• Set the technical direction for the estate you inherit: evaluate new data and AI infrastructure, make build vs. buy calls, and keep the architecture documented and simple

Requirements

• 4+ years in GTM systems, RevOps engineering, or CRM administration within a revenue organization, with recent hands-on work building AI-assisted systems
• Hands-on HubSpot Sales Hub administration experience: workflows, property and object architecture, permissions, and data governance (deep Salesforce administration with HubSpot exposure may also fit)
• Built and shipped agentic applications with AI coding tools (Claude Code, Cursor, or similar) that run real business processes in production
• Track record of cleaning up and governing CRM data at scale, and designing for rep experience rather than admin convenience
• Strong SQL and working Python; production experience with a data warehouse (Postgres, Snowflake, BigQuery, or similar)
• Experience building and operating data pipelines and third-party API integrations in production, including error handling, monitoring, and backfills
• High ownership mentality: you run toward ambiguous problems, fix root causes, and leave systems better documented than you found them
• Pragmatic judgment: you can weigh build vs. buy, follow established best practices, and explain your decisions to non-engineers

Schedule

Hybrid work week with 3 days in-office expected (Monday, Tuesday, Thursday).