Exponent sits in an interesting and underserved corner of the interview prep market, because while the world is drowning in resources for grinding coding puzzles, far fewer do a good job of preparing people for the messier, more judgement based interviews that data scientists, machine learning engineers, and technical product managers actually face, and this is precisely where Exponent focuses. Having looked at what it offers, my view is that it is a well built, thoughtfully designed platform whose strengths lie in two areas in particular. The first is its library of example answers and full length mock interview recordings, which is genuinely valuable because one of the hardest things about preparing for these interviews is simply knowing what a strong answer sounds like, how a good candidate structures their thinking out loud, handles an open ended machine learning system design prompt, or talks through a product case, and watching capable people do it repeatedly builds an intuition that no written guide really can. The second is the peer mock interview system, which matches you with other people preparing so you can practise interviewing each other, and I rate this highly because the uncomfortable truth of interview prep is that reading and watching only get you so far, and the real gains come from the awkward, nerve wracking act of actually performing under pressure and getting feedback, which this makes easy to do repeatedly and, for peer sessions, at no extra cost.
The course content itself is structured well and clearly assembled by people who understand the specific shape of these interview loops at the big tech companies, so it feels targeted rather than generic. The caveats are mostly about model and fit. Exponent is a subscription, which means the maths only works in your favour if you are in an active, focused job search and will use it intensively over a defined period, whereas leaving it running passively while you occasionally watch a video is a poor use of money. If your weakness is raw algorithmic coding, a dedicated grinding platform like LeetCode remains the sharper tool, since that is not Exponent's core purpose.
And as with any peer based system, the usefulness of a given mock interview depends on who you are paired with, so there is some natural variance in the experience. My overall recommendation is a positive one for the right person and the right moment. For someone genuinely interviewing for data science, machine learning, or technical product roles, who is willing to put in the active work of doing real mock interviews rather than passively consuming content, Exponent is a smart, focused investment, and the sensible play is to subscribe for the intense stretch of your search, use it hard, and cancel once you have landed the offer.