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Shaun Smith-Taylor is a self-described Product Geek and BBQ enthusiast who got so frustrated with the state of product management recruiting that he set up his own company to fix it. He's keen on AI, the metaverse and the possibilities of using them to bring technological advancement to recruitment and beyond.
Here are some highlights from the episode:
Half the time, companies don't seem to know what to ask for. This means they confuse candidates and get the wrong people applying for the jobs. A mixture of technology & human consulting is needed to fix this.
PMs talk about outcomes all the time but need to focus on outcomes in their CVs. Candidates stuff every single thing they've done into their CVs, with little connection to real results & often badly formatted or overlong.
It's common for people to blame the ATS for all of their problems, but ATS systems always involve humans and aren't using as much fancy AI as some might claim. They're not perfect, but nothing is.
All people have unconscious biases, and some are downright prejudiced. We should always do what we can to limit the chance of bias, and doing so isn't a personal attack on the hiring manager.
In a world of remote working & different working preferences in general, the metaverse may open up opportunities around in-person assessments as well as remote working. But we've got a long way to go before we get there.
I'm currently looking at consulting opportunities. If you'd like to speak to me about how I can help you build great products, or the teams that build great products, check out One Knight Consulting and book a free, no-commitment call to chat about your needs.
You can hit Shaun up on LinkedIn, or check out MyProductPath.
4.7
1414 ratings
Shaun Smith-Taylor is a self-described Product Geek and BBQ enthusiast who got so frustrated with the state of product management recruiting that he set up his own company to fix it. He's keen on AI, the metaverse and the possibilities of using them to bring technological advancement to recruitment and beyond.
Here are some highlights from the episode:
Half the time, companies don't seem to know what to ask for. This means they confuse candidates and get the wrong people applying for the jobs. A mixture of technology & human consulting is needed to fix this.
PMs talk about outcomes all the time but need to focus on outcomes in their CVs. Candidates stuff every single thing they've done into their CVs, with little connection to real results & often badly formatted or overlong.
It's common for people to blame the ATS for all of their problems, but ATS systems always involve humans and aren't using as much fancy AI as some might claim. They're not perfect, but nothing is.
All people have unconscious biases, and some are downright prejudiced. We should always do what we can to limit the chance of bias, and doing so isn't a personal attack on the hiring manager.
In a world of remote working & different working preferences in general, the metaverse may open up opportunities around in-person assessments as well as remote working. But we've got a long way to go before we get there.
I'm currently looking at consulting opportunities. If you'd like to speak to me about how I can help you build great products, or the teams that build great products, check out One Knight Consulting and book a free, no-commitment call to chat about your needs.
You can hit Shaun up on LinkedIn, or check out MyProductPath.
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