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GTM Systems Engineer

Cognition· General & Administrative
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San FranciscoFull-timePosted 4w ago

About the role

We’re an applied AI lab building end-to-end software agents. The GTM Systems Engineer designs, builds, and scales the technical infrastructure behind the go-to-market engine, connecting CRM, marketing automation, sales tools, and data warehouse to automate workflows and provide leadership with a trusted view of the sales funnel.

Responsibilities

  • Architect, build, and maintain our GTM tech stack, including CRM, CPQ, marketing automation infrastructure, and more.
  • Design and own integrations and data flows between GTM systems and the data warehouse using APIs, webhooks, and reverse ETL
  • Build automations to improve data hygiene, pipeline accuracy, deal desk processes, etc.
  • Develop AI-powered and agent-based workflows that remove manual work and surface timely signals to reps
  • Ensure data integrity across systems through clear data models, deduplication, validation rules, and monitoring
  • Partner with Ops and Data Engineering to support reporting, dashboards, and forecasting infrastructure
  • Evaluate, implement, and retire tools as the business scales, with thoughtful documentation and change management

Qualifications

  • 4+ years in GTM Engineering, Business Systems, Revenue Operations, or a technical Sales/Marketing Ops role at a high-growth company
  • Deep hands-on experience administering and customizing a CRM (Salesforce), including objects, flows, permissions, and integrations
  • Experience building and maintaining CPQ and billing systems is preferred
  • Genuinely curious & interested in AI, with experience applying it to your day-to-day work
  • Strong SQL skills and experience working with a data warehouse (e.g., Snowflake, BigQuery)
  • Experience building integrations with APIs and automation platforms (e.g., Zapier, Workato, Tray.io); scripting in Python or JavaScript is a strong plus
  • A systems-thinking mindset: you design for scale, document your work, and care about clean data
  • You thrive in high-intensity, high-autonomy environments and enjoy owning problems end to end

Skills

Required:CRM administration (Salesforce)SQLData warehouse experienceAPIs and automation toolsSystems thinking
Nice to have:CPQ and billing systemsPython/JavaScript scripting
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Cognition

cognition is an applied AI lab

An applied AI lab building the future of software engineering. We’re the makers of Devin, a collaborative AI teammate that helps ambitious engineering teams achieve more.

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