Platform Engineer, Revenue Operations
Build and operate the revenue organization’s data warehouse, integrations, production services, AI-agent infrastructure, and HubSpot CRM. The role requires 4+ years in GTM systems, RevOps engineering, or CRM administration, plus production experience with SQL, Python, data pipelines, and agentic applications.
About the job
Responsibilities
- Own the revenue data warehouse consolidating CRM, product usage, and billing data, including schema design, data modeling, pipeline orchestration, and performance.
- Run and evolve 80+ production services for churn-signal synchronization, account scoring, enrichment, and reporting, including monitoring, alerting, and incident response.
- Build and extend AI agent infrastructure that automates recurring RevOps and GTM work, including reporting and multi-step workflow execution.
- Design and maintain integrations between HubSpot, the product database, billing systems, enrichment tools, and the analytics layer, including production error handling and backfill tooling.
- Administer HubSpot Sales CRM, including object and field architecture, permissions, workflows, and governance.
- Own CRM cleanup, deduplication, and data governance.
- Optimize HubSpot for rep experience through views, workflows, and automations.
- Set technical direction for the inherited estate, evaluate data and AI infrastructure, make build-versus-buy decisions, and maintain clear architecture documentation.
Requirements
- 4+ years of experience in GTM systems, RevOps engineering, or CRM administration within a revenue organization, with recent hands-on experience building AI-assisted systems.
- Direct GTM experience.
- Hands-on HubSpot Sales Hub administration, including workflows, property and object architecture, permissions, and data governance. Deep Salesforce administration experience with HubSpot exposure may also qualify.
- Experience building and shipping agentic applications with AI coding tools such as Claude Code or Cursor that run real business processes in production.
- Experience cleaning up and governing CRM data at scale and designing for rep experience.
- Strong SQL and working Python skills.
- Production experience with a data warehouse such as Postgres, Snowflake, or BigQuery.
- Experience building and operating production data pipelines and third-party API integrations, including error handling, monitoring, and backfills.
- High ownership, root-cause problem solving, and strong documentation practices.
- Pragmatic judgment when evaluating build-versus-buy decisions and communicating technical choices to non-engineers.
Compensation and Work Arrangement
- Base salary: $200,000–$230,000.
- Based in San Francisco with a hybrid schedule requiring three days in the office: Monday, Tuesday, and Thursday.
- Occasional travel for team offsites, trainings, and related events may be expected.
Skills
HubSpot, SQL, Python, Postgres, Snowflake, BigQuery, Data Warehousing, Data Pipelines, API Integrations, Crm Administration, AI Agents, Workflow Automation, Data Modeling, Monitoring, Incident Response
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