{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The WorkOps Podcast","title":"What got you here won't get you there: the murky middle in the age of AI","html":"","width":"100%","height":180,"duration":2359,"description":"Summary In this episode of The WorkOps Podcast, host Jeet sits down with Colleen McCreary, Chief People Officer and Head of Internal Systems at Confluent, for a candid conversation about people, productivity, and what AI is really doing to the workforce. Colleen makes the contrarian case that early-career talent is a company's edge in the AI era, while the \"murky middle\" faces the hardest reinvention. She explains why she's torn out the performance review everywhere she's worked, how she compressed a five-month review cycle to three and a half weeks, and how a company-wide \"find the bullshit\" campaign cut hundreds of meeting hours. Along the way she shares her first-principles approach to choosing tools, her \"tasty, not wastey\" philosophy on spending, and her definition of the people officer as the product manager of how a company actually runs. It's a sharp, practical listen for HR and people leaders, founders, and anyone rethinking how work gets done. Chapters00:45 Welcome and Colleen's path into HR02:45 Leaving venture capital to operate again05:30 Keeping humans at the heart of AI07:15 The murky middle and betting on early career talent12:15 Why HR and internal systems belong together17:30 Swim teams versus soccer teams22:15 The bureaucratic misery index28:25 Why performance reviews are broken34:35 Tasty, not wastey, and hiring for taste37:15 First principles and the people officer as product manager Takeaways The people most at risk from AI aren't juniors, they're the \"murky middle\" six to twelve years in, whose old playbook is being flipped on its head.Performance ratings don't predict performance: 90% of the people managed out at Confluent had been rated successful or exceptional.You can cut a five-month review cycle to a few weeks by subtracting, fewer rating tiers, fewer questions, and a real deadline as a forcing function.Solve for the problem first, then pick the tool. Choosing the tool first is how good teams get stuck.In an age where AI can build...","thumbnail_url":"https://img.transistorcdn.com/Eh8J8csrLvAf-gfZx2fx-hND9gquazmC6b15qkZyyGA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMWNj/OTM3ZjEzMWFkMzQw/NjcwMzQyYTI4MTY3/MGRhMC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}