{"version":"1.0","type":"card","id":"65ed1c8b-670c-4f0b-8249-9bf99f5ed937","url":"https://stacklist.com/card/65ed1c8b-670c-4f0b-8249-9bf99f5ed937","title":"What Does a Modern GTM Tech Stack Actually Look Like?","source_url":"https://syncgtm.com/blog/gtm-engineering","note":"Maps the five-layer model: CRM, signal layer, outbound engine, AI/agent layer that mature GTM engineering functions run. Most stacks fail not from missing tools but from missing layers.\n","image":{"url":"https://ucarecdn.com/e68bde35-7ff6-48a7-8831-09ada99445ba/","alt":"What Does a Modern GTM Tech Stack Actually Look Like?","width":706,"height":456},"stack":{"id":"6270943b-9e2c-4f80-8773-534a089159d1","title":"GTM Engineering & AI-Native Outbound: What Modern Revenue Teams Are Actually Building in 2026","url":"https://stacklist.com/c/business/stack/6270943b-9e2c-4f80-8773-534a089159d1"},"created_at":"2026-07-01T15:49:29.695Z","updated_at":null,"aco":{"summary":"GTM engineering is the discipline of designing, building, and maintaining automated systems that power go-to-market execution across sales, marketing, and customer success, having grown from a niche experiment to a core revenue function with over 3,000 LinkedIn roles by early 2026. This comprehensive guide covers the role's emergence, core responsibilities, required skills (API integrations, Python, SQL), salary ranges ($132K–$241K), tools, and career progression paths.","tags":["gtm-engineering","go-to-market","revenue-operations","b2b","automation","career-guide","sales-technology"],"key_entities":[{"name":"GTM Engineering","type":"concept","confidence":0.99},{"name":"Kushal Magar","type":"person","confidence":0.95},{"name":"LinkedIn","type":"organization","confidence":0.9},{"name":"Revenue Operations","type":"concept","confidence":0.88},{"name":"B2B Sales and Marketing","type":"concept","confidence":0.85},{"name":"Workflow Automation","type":"concept","confidence":0.82},{"name":"Data Enrichment Pipelines","type":"concept","confidence":0.8}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-01T15:49:38.493Z"},"token_counts":{"approximate":5748,"cl100k":4449},"content_hash":"sha256:09e0f51ae0528043b042c1dec50381f1124a7215587a1fa6c560ec9cf1fbe8df","acp_version":"0.2","body_available":true,"body_tokens":5748,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/65ed1c8b-670c-4f0b-8249-9bf99f5ed937.json","html":"https://stacklist.com/card/65ed1c8b-670c-4f0b-8249-9bf99f5ed937","md":"/api/public/card/65ed1c8b-670c-4f0b-8249-9bf99f5ed937.md","stack_json":"/api/public/stack/6270943b-9e2c-4f80-8773-534a089159d1.json"}}