{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Old School / New Tech","title":"E02: The New Org Chart: Embracing a System-Driven Model","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a1f3e0f4\"></iframe>","width":"100%","height":180,"duration":1275,"description":"From Org Charts to Pods: Builders, Sellers, Operators, and AI Agents\nIn episode two of Old School New Tech, Ran Aroussi and co-host Muximus debate shifting from traditional org charts to a system-driven “pod” model where early-stage companies primarily need builders and sellers, with classic middle management deferred. \nRan argues that under ~20 people startups should avoid coordination-heavy roles, adding that middle management becomes useful around 20–30 headcount, with a key early exception being an operator/chief-of-staff-style role that bridges build and sell. \nThey discuss AI agents handling coordination and grunt work, while junior developers function as apprentices learning orchestration, specs, and production debugging rather than syntax, with “learned” experience shrinking faster than “gained” experience. On the sell side, a hybrid pipeline role manages AI-driven prospecting and follow-up while handling calls. \nAdministrative functions should be outsourced early, later becoming shared resources at the firm level across multiple pods.\n00:00 Welcome Back\n00:29 Builders And Sellers\n02:45 When Management Returns\n03:11 Chief Of Staff Operator\n04:27 Junior Dev Apprentices\n08:08 Learned Vs Gained Experience\n10:26 Sales Pod Mirror\n13:32 Outsource And Shared Resources\n17:10 Is Middle Layer Relocated\n20:32 Wrap Up And Takeaways\n\n-----\nOld School / New Tech is produced by VarOps.\nSubscribe to the newsletter – the written version of this show, weekly: varops.com\nRead the books – Company-Scale Agentic AI (for operators and the C-suite) and Production-Grade Agentic AI (for engineers): varops.com/books\nWork with us – VarOps installs resident AI inside mid-market companies. It runs where your work already happens, sees the whole operation, and what it learns belongs to you: varops.com/transform","thumbnail_url":"https://img.transistorcdn.com/13nrINn33mdG7k8LoP1Ez_oYKpPxbcHmR2r_rrXw8jQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTRj/ZGQ0Y2RkZDdmMGY4/NzdjYjgxNjI4OWQ5/YTdkYS5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}