Imagine being told the secret to career success is to 'be a crab.' Sounds bizarre, right? But this unconventional advice from a Google AI product manager is turning heads—and for good reason. Marily Nika, a seasoned professional with over a decade in AI product roles, recently shared this intriguing metaphor on The Growth Podcast by Aakash Gupta. So, what does it mean to 'be a crab'? Nika explains that it’s about moving laterally—leveraging your existing skills and experiences to transition into new, adjacent roles. And this is the part most people miss: your past isn’t a limitation; it’s your superpower.
Nika illustrates this with a compelling example. A student in her AI product management boot camp felt trapped in the hearing aid industry, convinced it had no overlap with tech. But here’s where it gets controversial: Nika helped him see that his expertise in hearing could actually be a unique advantage for a product manager role at Apple, specifically for AirPods. Is your past experience holding you back, or are you failing to see its potential?
Another thought-provoking example involves a sports journalist aiming to pivot into AI product management. Instead of focusing on what he lacked, Nika encouraged him to lean into his deep understanding of the sports industry. Product skills, she argues, can be learned, but domain expertise is irreplaceable. But here’s the question: Are we undervaluing industry knowledge in favor of technical skills?
Beyond the crab metaphor, Nika emphasizes that product managers today must be 'AI-literate.' This doesn’t mean becoming a data scientist, but understanding how AI relies on data and its unique challenges. Aspiring managers should also grasp the basics of coding, like APIs and product shipping processes. But is this enough? As AI tools evolve, should product managers also become proficient in using them for prototyping and ideation?
Tech leaders from Dropbox and Microsoft echo this sentiment. A Dropbox VP suggests that AI tools, like vibe coding, can help non-coders prototype ideas faster, while a Microsoft senior product manager credits AI for streamlining his workflow. But here’s the debate: Are these tools a boon for efficiency, or do they risk commodifying the creativity of product management?
So, what’s your take? Is 'being a crab' the career advice we’ve all been missing, or is it oversimplifying the complexities of transitioning roles? And as AI reshapes the industry, how should product managers balance technical literacy with domain expertise? Let’s discuss in the comments—your perspective could spark the next big insight!
