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Cognition AI is an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. The founding team includes world-class competitive programmers, former founders, and leaders from Scale AI, Palantir, Cursor, Waymo, Tesla, Google DeepMind, and other cutting-edge AI companies.
You will join as a GTM Systems Engineer, owning the technical infrastructure that powers the go-to-market engine. This role bridges Sales, Marketing, Customer Success, and RevOps, translating business needs into scalable technical solutions.
Key responsibilities:
- Architect, build, and maintain the GTM tech stack including CRM, marketing automation, sales engagement, enrichment, and customer success tooling
- Design and own integrations and data flows between GTM systems and the data warehouse using APIs, webhooks, and reverse ETL
- Build automations for lead routing, scoring, enrichment, territory assignment, and lifecycle stage management
- Develop AI-powered and scripted workflows that eliminate manual work and surface timely signals to sales representatives
- Ensure data integrity across systems through clear data models, deduplication, validation rules, and monitoring
- Partner with RevOps and Analytics teams to support reporting, dashboards, and forecasting infrastructure
- Evaluate, implement, and retire tools as the business scales, with thoughtful documentation and change management
You will work in a high-intensity, high-autonomy environment where you own problems end to end and drive impact across the revenue organization.
REQUIREMENTS:
- 4+ years in GTM systems, 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 or HubSpot), including objects, flows, permissions, and integrations
- 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
- Systems-thinking mindset: design for scale, document work, and care about clean data
- Thrive in high-intensity, high-autonomy environments and enjoy owning problems end to end
About Cognition AI
AI / Data / Infrastructure — AI software engineering agents and developer automation.
