Director, Gtm Architecture

Sigma Computing Sigma Computing · Data AI · San Francisco, CA · Operations

This role is responsible for the technical design, integration, and data integrity of the GTM ecosystem, with a focus on building internal, Sigma-powered replacements for legacy SaaS tools and leveraging AI/LLM for GTM automation. The primary focus is on architecting agentic systems for lead routing, territory management, and opportunity orchestration, and using Sigma as an intelligence layer for GTM strategy. It also involves building data pipelines and ensuring data governance.

What you'd actually do

  1. Design and maintain the end-to-end architecture of the GTM stack (Sigma, Salesforce, Clay, Outreach, LeanData, Zoominfo, and others), ensuring systems are extensible, resilient, and aligned to revenue strategy.
  2. Architect signal-based lead and account routing, territory management, and opportunity orchestration — ensuring the right signals reach the right reps at the right time.
  3. Partner with Data Engineering to build internal, Sigma-powered replacements for legacy SaaS tools, migrating logic into the data warehouse where it delivers more flexibility and lower cost. We call this "SaaS Takeout" — systematically replacing point solutions with composable, warehouse-native workflows.
  4. Own the Salesforce instance as a strategic asset. Design custom objects, flows, and integrations built for long-term scalability — not short-term patches.
  5. Become the resident expert on using Sigma to power our own GTM motion. Today, that means building live dashboards that replace static reports and embedding Sigma into operational workflows. Tomorrow, it means using Sigma as the intelligence layer that informs routing logic, territory design, and pipeline strategy.

Skills

Required

  • GTM Systems
  • Revenue Architecture
  • Sales/Revenue Operations Technology
  • Salesforce (Admin or Architect level)
  • Flows
  • CPQ
  • custom objects
  • integrations
  • enrichment and outbound automation workflows
  • LLM-powered automation
  • AI-native tools in a GTM context
  • modern BI tools
  • SQL
  • team management

Nice to have

  • Sigma
  • LeanData
  • Outreach
  • LeadIQ
  • ZoomInfo
  • 6sense
  • RevOps community involvement
  • GTM systems community involvement

What the JD emphasized

  • Hands-on experience deploying LLM-powered automation and AI-native tools in a GTM context — not just prototypes, but workflows running in production that measurably impact pipeline or efficiency.
  • Deep, hands-on expertise in Salesforce at an Admin or Architect level (Flows, CPQ, custom objects, integrations).
  • Strong experience designing enrichment and outbound automation workflows (Clay, or comparable platforms).

Other signals

  • LLM-powered automation
  • AI-native tools in a GTM context
  • Sigma as the intelligence layer
  • SaaS Takeout