Thought Bakery

Taste. You may think it's a brand lever but it’s what connects every part of a modern GTM system. The best teams are (digitally) architecturally consistent and sound in how they move forward. Every deck, nurture sequence, and outbound thread feels like it came from the same tribe. That comes from connecting human taste to an AI layer that scales it with precision. For example: ✅ AI-assisted MOps teams can draft nurture flows that sound like your brand on day one. ✅ Custom GPTs can proof sales decks and flag off-brand language before they reach a buyer. ✅ Analysts can run deal data through AI to uncover why certain accounts resonate faster. ✅ And brand teams no longer need to micromanage tone. The AI layer keeps everyone aligned. 👉 And now, with company knowledge connected directly into GPT, all of this is actionable today. Your brand voice, sales collateral, call transcripts, and strategy docs can live inside one intelligent layer: amplifying taste, not erasing it. The goal isn’t automation. It’s coherence. AI just gives us the architecture to scale good, sometimes even great, judgment. The full infographic that covers Taste, Tooling and Transmission is in my latest Substack (comments below...because LinkedIn 🤦🏽♀️).

Most companies think differentiation starts with the product. Or maybe the message. But the truth is, those are just outputs. As Chaenara O'Brien, Principal Strategist at Thought Bakery, shared on The Marketing Share, real differentiation begins beneath the surface, in how your value is built, who it’s for, and how it moves through the market. She looks for signals others miss: 🔹Proof of impact buried in customer data or behavior. 🔹Team insights that never make it into the story. 🔹The moment when your product narrative no longer matches your buyer’s reality. That’s when differentiation happens. When you rebuild your GTM around how your company thinks, not just what it sells. It’s a powerful reminder for every marketing leader: 🔹 Your brand in-market is never exactly the brand you built. 🔹 Great GTM requires constantly updating the lens through which buyers see you. 🎧 Hear the full conversation between co-hosts Alec Cheung and Barb VanSomeren and Chaenara O'Brien on The Marketing Share. #MarketingLeadership #GoToMarketStrategy #B2BMarketing #BrandStrategy #TheMarketingShare

If you’ve spoken to me in the last 3 months, you’ve probably heard me say it: the future of product marketing is product building. Not product management. Not creative direction. [GTM] product building. DeepLearning.AI just posted a job description that I believe captures this shift perfectly. A signal for where AI-native product marketing is headed, especially if you’re working on technical products, serving dev audiences, or operating close to the metal in fast-moving orgs. Yes, this job description will feel like “too much” to many. And that’s fair. Because it is asking a lot: → Technical messaging for developer audiences → Owning end-to-end product launches → Collaborating with engineering and editorial → Coordinating cross-functional campaigns → Wireframing, copywriting, AI app building for internal workflows → And working directly with Andrew Ng But it’s not for everyone. 👀 It’s for the 'earlyish' PMM adopters. The ones who’ve been using GPT, Claude, Lovable etc to sketch, prompt, ship, test. 👀The ones who know that context and taste matter just as much as templates and tools. 👀The ones who’ve learned when to go broad in your build, and when to zoom into UX nuance. 👀And while I haven’t done every line item in this JD, I have started to operate in this direction and continue to encourage our Thought Bakery team to do the same. More building, less waiting. More shipping, less storytelling decks. More helpfulness, less handoffs. If I could turn the AI button off I genuinely would but, we all know that’s not how this plays out. So instead, don’t read job posts like this with fear or scorn. Use the spare moments you have to up-skill in 15-minute sprints. GPT's study and learn feature that launched this week or NotebookLM are great ways to self-study (and then self test!). Feel free to drop me a DM if you're getting overwhelmed and not sure where to start (this is not a pitch of any kind 😅 ). Thanks for Sharmila Gopirajan 🔍 for highlighting this role in her weekly newsletter! JD in the comments!