What happens when AI starts screening job candidates who are also using AI to get through the screening process?
In this episode of the Med Device Cyber Podcast, Christian Espinosa speaks with Darwin Shurig, founder of Top Talent Accelerant, about why recruiting in MedTech is becoming increasingly difficult and what companies can do to avoid costly hiring mistakes.
Darwin explores why traditional “post and pray” recruitment is breaking down, how strong candidates can be screened out while weaker candidates use AI to get through the process, and why some highly specialized roles in AI, machine learning and cybersecurity are remaining open for months.
The conversation also looks at the enormous cost of getting talent decisions wrong, why the best candidates often are not actively applying for jobs, and how showing candidates the real culture and expectations of a company can help create better alignment before an interview ever takes place.
Darwin also shares the personal journey behind his book, The Modern-Day Job, and how major changes in his business and personal life led him to reconsider success, purpose and the importance of the people we choose to work with.
In This Episode:
01:13 Darwin’s journey from critical care to MedTech recruiting
04:38 Why recruiting has become such a crowded industry
06:55 The cost of getting the hiring process wrong
09:00 How AI is changing candidate screening
10:11 Why specialized MedTech roles can stay open for months
11:26 Why traditional hiring processes need to change
12:31 Creating a better candidate experience
13:48 The $9 billion impact associated with warning letters
14:49 Why the best candidates are not applying to your job posts
15:53 When AI starts interviewing AI
16:45 Remote hiring, geography and compensation
18:58 The story behind The Modern-Day Job
36:51 Why values and alignment matter when choosing people
40:33 Building teams around shared values and culture
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