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 using AI and LLM-powered automation. The goal is to create a scalable, automated platform for growth by leveraging Sigma as an intelligence layer for GTM strategy and workflows.

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. 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.
  3. Own the Salesforce instance as a strategic asset. Design custom objects, flows, and integrations built for long-term scalability — not short-term patches.
  4. 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.
  5. Translate GTM strategy into automated, signal-driven workflows — ensuring intent data, product usage signals, and firmographics trigger the right actions across the stack.

Skills

Required

  • 8+ years of experience in GTM Systems, Revenue Architecture, or Sales/Revenue Operations Technology.
  • 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).
  • 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.
  • Proficiency with modern BI tools (Sigma strongly preferred)
  • Ability to partner effectively with Sales, Marketing, Data, and Engineering leaders to define and execute a unified technical roadmap.
  • Proven experience managing and developing a team of technical professionals (analysts, admins, contractors), including setting standards, running prioritization, and balancing hands-on building with people leadership.

Nice to have

  • Experience with LeanData, Outreach, LeadIQ, ZoomInfo, or 6sense.
  • Active involvement in the RevOps or GTM systems community (writing, speaking, mentoring, or open-source contribution).
  • Experience leading or mentoring technical ops professionals, including Salesforce admins and analysts.

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.
  • Sigma on Sigma Vision
  • building internal, Sigma-powered replacements for legacy SaaS tools
  • AI-native tools

Other signals

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