AMA: The Biological Computing Company VP Products and Strategic Partnerships, Vik Chaudhary on How to Plan Your Career as an AI Product Manager

A growth and communicative mindset, i.e. someone who approaches every day is a learning experience for themselves, but also one who broadcasts that learning to the team, customers, or on social media. This is because: AI technologies are new, rapidly changing, and the hype stage is real, so you have to cut through the noise Understanding AI, how it's changing rapidly, what are the new models, and how to apply AI requires them to dive deep into the technology Communicating the learnings, applicat ...Read More

Yes, it is a strong requirement to have a science and engineering background for AI or deep experience in the field. Look at the areas that power AI applications below, this was communicated by Jensen Huang, NVIDIA's CEO, at NVIDIA's annual conference, GTC 2026. An AI product manager has to understand at least 2 layers below the layer that product that they are building is at. Energy: Electricity generation and cooling infrastructure that powers AI systems Chips: GPUs and accelerators that conve ...Read More

AI Depth: Communicates expertise in a specific area of AI (refer to my other answer that talks about the "5-layer AI cake") and contrasts it to non-AI work on their resume. AI Strategy: has regularly communicated, in articles or videos about AI products, business models, or technology. Note: using ChatGPT well, or building an application using Cursor in one weekend, is too basic. AI Education: has worked at an AI lab or similar deep science and technology lab, or has worked in at a product compa ...Read More

This is an answer you are not expecting -- and that is, do not let anyone "box" you into a stereotype and dissuade you from working in AI. For e.g. I interviewed with a peer (not the hiring manager) for an AI role at ServiceNow. He was extremely close-minded about my ability to work for that specific AI group, because he trotted out these algorithms that he would look for in a new hire. He did not advance me into the round. And now, ServiceNow's enterprise valuation is down about 40% because of ...Read More

Generative AI is now an extremely broad field - so you need to learn about its applications as much as the core generative AI technology Computer Vision is relevant to fields like Autonomous Driving, and CV is in itself quite broad, but there's a lot changing, e.g. Diffusion Transformer models vs other models. Physical AI - is an entirely new field, and very early, but it's applications are in Robotics and Manufacturing These are just a few examples - but to answer your question, I'd have to kno ...Read More

In the workplace of the future, the purpose of Humans should be to enable AI Agents to operate at full speed without causing harm (to the product, to customers, to finances, to brand). I imagine the future work environment where: AI Agents are listening closely to all critical product-related conversations with customers Agents then draw up work plans to meet customer needs, and autonomously begin working on them Human beings will be overwhelmed by the speed at which AI Agents will make decision ...Read More

See my response to the question "How would AI Agents+Humans team be managed in future?" -- Product Management is going to have to restructure to handle the reality of AI Agents autonomously delivering on requirements that customers have. PMs will need to understand how to monitor the work AI Agents are working on, how to kick off a "quality assessment" phase on a regular cadence, and to build tools to immediately rollback changes so that critical incidents are not introduced. Overall, the potent ...Read More

I'll answer the question "How do you think about the balance between being a domain expert (e.g., biotech, fintech) vs. being an AI generalist" as I think that's relevant to this audience. I'll presume you're asking about career paths, as today's AMA is about career path/journey to AI. The answer here is not very different than traditional software or SaaS PMs. For example, if you're applying to work at Intuit for an AI PM role, then having experience in consumer finance products is a must-have. ...Read More

Exactly how Anthropic has been thinking about ethics, safety, and responsibility in the use of its AI technology–with courage and clarity. Safety: Ask how your AI could result in harmful use, and build in internal tests and guardrails into the products you are building. Ethics: Make it a discipline for the product management team to detect harmful use of your product - bake this into monitoring, observability, and via surveys. Strategy: Communicate clearly about the pros and cons of the AI you'r ...Read More