Palantir deployment strategist

Company review/experience feedback
#1

I’ve recently heard about this role at Palantir called deployment strategist and I’m not quite sure what it entails. I’m curious about what the role is like and what the interview process is like. Thanks!

#2

The role basically involves talking to Palantir’s clients about the problems they need solving, figuring out the kinds of data that the clients need to provide, and then talking to the engineers and others at the company to integrate the data, analyse the data and think about the workflow. It resembles a PM role that deals with the product and also talks to clients, like a technical sales.

As for the interview process, there’s a first screening call with HR that is purely behavioral. Then, if you move on there’s a video interview with a deployment strategist, which is behavioral but they will go into depth about various experiences/situations you’ve had that demonstrate your leadership, problem-solving skills. After this, you’ll have an onsite with 3-4 interviews that are a mixture of behavioral and technical, where the latter can be open ended decomp or analytical. Open-ended decomp is basically if you had access to all data in the world, what problems (often a general, vague problem that doesn’t really yet have an answer) would you want to solve and how. Or they may ask you to solve a specific general problem given that you had access to all data. For the analytical type is basically given specific dataset, how would you solve
a problem. The technical interviews are structured like case studies for consulting.

Lmk if you have more questions.

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#3

Thanks so much for the info! How would you go about preparing for those kinds of technical interviews?

#4

I would recommend using consulting case study prep material and doing some mock interviews with a friend so you can go through the whole process of brainstorming, asking following up questions, coming up with a formulated solution. Here are some examples of the types of questions they have asked in the past:

  1. Think of any product or app that you use. What does it do well? How could you improve it?
  2. Imagine you had access to all the data in the world. What kind of problem would you want to solve? What data would you need? How would you turn it into a product that would be useful by a broader audience? How could it potentially make money?
  3. How would you detect doctors who prescribe fraudulent opioid drugs?
  4. How can ESPN use their data to reduce cost of football highlights production?
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