Platform Engineer, Revenue Operations

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 the integrations that move data between HubSpot , our product database, billing, enrichment tools, and the analytics layer, with the error handling and backfill tooling production data flows require

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 enough to reason about

4+ years in GTM systems, RevOps engineering, or CRM administration within a revenue organization, with recent hands-on work building AI-assisted systems weighted over total tenure; direct GTM experience is a requirement

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)

You have built and shipped agentic applications with AI coding tools (Claude Code, Cursor, or similar) that run real business processes in production, whether GTM automations, internal agents, or custom apps a team depends on daily

A track record of cleaning up and governing CRM data at scale, and of 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 where they exist, and explain your decisions to non-engineers

Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law.

Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.