Senior GTM Engineer, Systems Engineering

New
S
SanityContent Operations
Remote in North America (SF preferred).Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Node.jsArtificial IntelligenceFull Stack DevelopmentTypeScriptReactRESTful APIs

Requirements

  • Strong full-stack engineer with TypeScript, React, Node.js, APIs, and backend services.
  • Experienced building internal tools, workflow automation, data products, platform systems, or AI-powered applications.
  • Strong product instincts and a sharp sense for what users actually need to get work done.
  • Familiar with GTM workflows, with an ability to go deep on how Sales, Marketing, Customer Solutions, and RevOps teams operate.
  • Understands concepts like pipeline generation, deal stages, customer lifecycle workflows, account data, handoffs, forecasting, enablement, and operational reporting.
  • Systems thinker who can turn operational friction into intuitive tools, reliable workflows, and strong UX patterns.
  • Demonstrated understanding of AI as an operating model, including agents, tool use, structured context, prompts, evals, and automation.
  • Cares deeply about trust, data quality, governance, and systems people can confidently rely on.
  • Comfortable with ambiguity and able to turn loosely defined business problems into shipped technical solutions.
  • Clear communicator who can explain technical tradeoffs to both technical and non-technical stakeholders.

Responsibilities

  • Build internal GTM products that help Sales, RevOps, Customer Solutions, Marketing, and leadership operate with more speed, clarity, and confidence.
  • Ship full-stack applications across Sanity SDK apps and studios, APIs, backend services, data pipelines, automation layers, and AI-powered workflows.
  • Develop tools and workflows that support pipeline generation, deal execution, customer expansion, account planning, handoffs, forecasting, enablement, and GTM visibility.
  • Build AI-driven workflows that reduce manual work, surface insights, improve data quality, and help GTM teams make better decisions.
  • Create reusable patterns and paved paths for building, adopting, and extending AI-powered operational systems across GTM.
  • Build for trust through access control, auditability, schema quality, governance, data quality, observability, and operational resilience.
  • Partner with workflow champions and GTM stakeholders to move quickly from prototype to production.
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