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Canva's restructuring as a PM job description
Canva CEO Melanie Perkins told staff that roughly 22% of the workforce would be affected. She cited growth slowing "for the first time in a decade" and said Canva needs to "refound" itself around small, empowered teams . The changes:
- Product, growth and platform merge into one product org.
- Narrow sub-specialties fold into broader roles, and management layers collapse.
- Sydney becomes the main home for more product teams .
Mind the Product's read is that many current layoffs come from slower growth, not AI alone. Companies are reorganizing around fewer bets . It cites US tech product headcount down 28% from the 2022 peak. Managers are down 31%, VPs 38% and senior ICs 21%, while product openings are up 75% from the late-2022 low . Its conclusion: the PM may soon own an outcome "from first idea to the numbers on the dashboard." The coordination work in between (status updates, first-draft specs, meeting recaps) is what AI handles well, so judgment is what's left . Two exercises it suggests:
- Write the one outcome you want to own in a sentence or two .
- Prompt Claude or ChatGPT to do your product's core job. If the result is 80% as good, rethink your moat .
It also notes that AI features add running costs, which makes what's included, metered or charged a product decision .
Salesforce on build vs. buy
On a16z, Salesforce's M&A lead said acquisition ideas start from customer feedback on product gaps . Each deal is judged on three things:
- strategic fit and the customer success it can drive
- whether it speeds up the business, fits the tech stack and fits the culture
- value against valuation, which she called the hardest part right now
Build vs. buy comes down to whether product teams have, or can hire, the people for their three-year roadmap. That gets compared with the 6–9 months a typical acquisition takes to integrate .
Salesforce says it is moving toward outcome-based pricing, such as paying per resolution instead of per seat . When it piloted Fin, the AI support agent it acquired, on its own help site, it was running in 14 days. It now handles over 40% of traffic and resolves 65% without a human . For founders, she warned that ARR "masks attrition." High attrition often points to product-quality problems and is a red flag in diligence .
Boom: proving product-market fit without shipping
On YC's channel, Blake Scholl argued that software proves product-market fit by launching and growing. You can't test demand for supersonic flight that way, so hard tech needs more money before it reaches a proof point . After the Rolls-Royce engine deal fell apart, Brian Chesky's crisis advice gave him the confidence to build the engine in-house: become more of what you were meant to be, rather than compromise . That engine work then pointed to a first-revenue product. Turbines are a bottleneck for AI power, so Boom spent two months confirming the market and the technical plan before going all in . With the fan removed, the engine produces 42 MW, a size that suits modular data-center deployment .
Practitioner tactics
- PMM roadmap influence. Experience varies a lot by company. Some PMMs can only relay customer and competitor input . Others have moved features up the roadmap when deals stalled or renewals were at risk . Quantifying lost revenue from churn, stalled deals and competitive losses helps get action . One commenter's advice is to learn how ideas actually become PRDs .
- Customer-funded development. Treat payment as one input, not a priority override. Write a one-page exception brief covering strategy fit, full funding including maintenance, the roadmap work that will slip, and a kill date. "One large cheque shouldn't quietly create a permanent second product" .
- Loss feedback. Ask for a ten-minute debrief during the evaluation, before the decision. After a loss, the request looks like another sales attempt. Also ask new customers what almost sent them elsewhere .
- Cryptic bug reports. Log device, session and user metadata in the background. Use complaints you do understand to build a profile, then find affected users who never complained. One PM turned 28 complaints into evidence that a bug affected every iPhone user on AT&T .
Also
- Paul Graham told a startup to sell to its YC batchmates, as a real test of the product and the best input to how it evolves. It has now crossed 10% of the batch .
- Ryan Hoover, at Product Hunt's 13th anniversary, says 3x as many makers launch there as a year ago and about 25% of unicorn founders are on the site .
