We’re hiring a Product Manager to lead SiliconMark—what I often describe as the “CARFAX for compute.” We started with GPUs because the same chip can deliver very different real-world performance depending on the system, networking, cooling and configuration. But our ambition is much larger: to build trusted benchmarks for every layer of the compute stack—from chips and clusters to infrastructure, models, tokens and the economic value ultimately delivered. SiliconMark is already one of our fastest-growing products. We’re looking for someone who can own this vision end to end: benchmark design, methodology, scoring, certification, customer experience and go-to-market. This is an opportunity to help define how the entire compute economy measures performance, quality and value—not just what people claim to offer, but what every layer of the stack actually delivers. Apply here: #Hiring# #ProductManagement# #GPU# #AIInfrastructure# #Compute#

Product management is laced with one stubborn bias: we overvalue our own ideas about what to build next. Steve (Vistaly) says minds rarely change until teams hear customers describe the problem in their own words. That's why Vistaly puts interview evidence directly on the opportunity solution tree—so everyone can quickly hear it, see it, and align on what the real problems are. 👉 Find a link to the full episode here: Spotify: Apple Podcast: YouTube:

we are seeing a come back of product management when it comes to the design and UX of personal agents. instinct / dot / muse / grok bot all have significant product work on tying together ux with model capabilities underneath and its access to various services. in all of these cases I rarely care about the underlying model but very much care about the big and little touches ( the muse activity notification, the little thumbs up emoji in Instinct to acknowledge a message and more). contrast this with the “upgrade to latest model” path we are otherwise on.

Some news: I’m joining OpenAI to lead product management for Core Products! I have a lot of respect for OpenAI for showing the world that scaling works, for bringing AI to over a billion people, and for believing great products are core to the mission. I’m excited to work with @thsottiaux, an incredible PM team, and everyone across OpenAI. Together, we’ll build agents that have your back and your team’s, and keep you in control, so you get more time for the people and work you love. Lots to learn, and lots to build. Please keep your feedback coming!

ChatGPT PM @AarushSelvan describes how AI has upended product management: In the SaaS era, product management was built around mostly deterministic software. With AI, the role is now more about defining what “good” looks like and steering a probabilistic system toward it. “You sort of have to start from scratch a little bit and be comfortable with non-determinism.” “Getting very comfortable with evals and how do we measure progress is something that’s a really important skill.” “No longer can a designer build a weather card or a sports card and be like, ‘This is how it’s going to appear when it triggers,’ because the model can just generate that on the fly.”

Vishal Chandrasekar, director of product management at Ayar Labs, sat down with TechArena to explain how co-packaged optics (CPO) takes AI scale-up beyond the rack and the manufacturing readiness required to achieve high-volume production. Full Q&A:

@Shilllin One of the most important lessons of product management: What your users say they want is often very different what they actually want The author of the post above is in the top 1% of React-with-Video users. Since making that post, his volume has only accelerated.