Forward deployed engineer interview questions: what employers say they ask

What does an FDE interview loop look like at employers that publish it?

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Five employers publish enough to compare. Only some of it is about forward deployed roles specifically, so the table says what each page covers.

scroll the table sideways for every column

Two limits matter. PostHog runs a forward deployed engineering team ¹⁵, but its pages describe no separate loop for it, so treat its engineering process as the closest analogue. Databricks' page covers engineering roles generally, not FDE roles.

None of them publishes a total length. Palantir says it typically replies within a week or two of a phone interview ¹, OpenAI describes about a week between steps ², and PostHog aims to decide within 48 hours of the SuperDay ⁹. A prep site cites three to six weeks end to end, with no source named ⁵.

What coding questions should you expect?

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Expect coding somewhere in the process. Palantir says engineers are asked a coding question in the phone interview and advises you to think out loud, ask questions about anything unclear and start with a simple solution before improving it ¹. Its coding guide says it will not ask about obscure features of a language, wants you to consider edge cases and how you would test, and tells onsite candidates to be ready to code on a whiteboard, with a computer available on request ¹⁶. A companion guide asks you to know time and space complexity and their practical trade-offs ¹⁷.

OpenAI says assessment formats vary by team, and that for engineering interviews it generally looks for well-designed solutions, high-quality code, optimal performance and good test coverage ². Neither publishes its actual problems, and we do not repeat anecdotal reports of them.

One format is specific to the forward deployed model: working in code you did not write. Palantir says its developers spend far more time debugging, modifying and extending existing code than writing new code, and it uses an outage at a customer site to illustrate the skill ¹⁸. PostHog's SuperDay includes a 45-minute pairing session fixing bugs, improving performance or adding a small feature in a codebase you have not seen; Google is allowed and AI tools are not ⁹. Practice prompts we wrote for this stage:

• A customer's nightly export started failing after a deploy. Here is the repository. How do you find out why before you change anything?
• This service returns the wrong total for some accounts. Write a failing test first, then fix it.
• Add one small feature to code you have never seen, and explain what you chose not to touch.

How do decomposition and system design questions work?

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Employers describe these as open-ended problems with no single right answer. Palantir's examples include adding a new solution to a large existing code base, solving a problem with limited time and resources where perfect is unattainable, and enabling a workflow for which no ideal solution exists. It says to articulate alternatives and trade-offs, then be pragmatic enough to arrive at a concrete approach, delivering a working idea first and expanding it afterward ⁴.

PostHog's technical-screen guide is the most specific. It calls the session an open-ended architecture and design discussion and says the strongest candidates slow down, ask clarifying questions, scope the problem and break it into pieces. Its example prompts, labeled as not the ones you will get: design a notification system that reaches millions of users without overwhelming downstream services, and decide where to put guardrails in a deployment pipeline so a bad deploy cannot take down production ³.

For forward deployed roles specifically, Anthropic's staff-level posting names the skill: walking into a discovery conversation with only a business problem and leaving with a defensible technical strategy for a secure, production-ready design in a complex enterprise environment ¹⁹. In a 2019 Palantir blog post, a forward deployed engineer lists "technical decomp" among the skills the role needs: break a high-level problem down and design a solution ²⁰.

One prep site gives the Palantir rounds names such as decomposition, learning and re-engineering ²¹. The Palantir careers pages we read use none of those labels, though a 2020 post on Palantir's blog, in which an engineer recounts his own interviews, refers to Palantir's decomposition question and says it is not necessarily a system design question ²². Expect the skill, and treat round names as unconfirmed. A routine built from the employer pages above:

1. Ask clarifying questions before you name a technology ³.
2. Say who the work is for and what a good outcome looks like ^3,15.
3. Split the problem into parts and state your assumptions out loud ³.
4. Offer a simple version that works first, then expand it ⁴.
5. Name the alternatives and their trade-offs, then commit to one ⁴.

Is there a customer scenario or role-play round?

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We could not confirm one. None of the employer pages we read documents an interviewer playing a customer. A commercial prep site lists a 45-minute client simulation round in its typical loop, but it does not say which employers use it, and says only that its questions come from recent loops and candidate submissions ⁵. Treat it as plausible, not guaranteed.

What employers do say they screen for points the same way. OpenAI's FDE posting asks for people who have scoped and delivered complex systems in ambiguous environments and who communicate clearly with customer stakeholders ⁷. Anthropic's London posting asks for communication skills to run discovery with customers and to explain technical ideas to different audiences ⁶. Palantir tells onsite candidates to ask clarifying questions and engage with the interviewer ¹¹.

PostHog's handbook shows the habits of one FDE team: agree a measurable outcome, timeline and definition of done before building; ask what decision depends on the answer; sometimes correct the customer's mental model instead of building what they asked for; start with a minimum version ¹⁵. That describes the job, not an interview script, but a customer-scenario interviewer would plausibly reward the same moves. Practice prompts we wrote:

• A customer's operations lead asks you to "use AI on all our support tickets." What do you ask in the first ten minutes?
• Your demo worked on sample data and fails on the customer's real files an hour before their review. What do you tell them?
• A customer wants a three-week feature by Friday. What do you offer instead?

What behavioral questions do FDE interviewers ask?

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Palantir says onsite interviewers will ask how you have executed, challenged yourself, motivated others and made judgments, and where you have failed ¹¹. A Palantir hiring manager quoted in a 2020 post on its blog says the company asks about real failures and wants to hear what you discovered and how you learned from them ²³. OpenAI tells candidates to be ready to discuss their experience, motivations and goals, and says it values communication, collaboration and openness to feedback ². PostHog adds a separate culture and motivation chat ¹⁴.

Prepare four stories, each with the context, what you did, what happened and what you would change: a time you found the real problem behind a request, a time you cut scope to protect a deadline, a failure, and a disagreement with a customer or colleague. These are our suggestions. Keep them true; Anthropic's guidance says AI can polish how you describe real experience but not invent experiences you do not have ⁸.

Can you use AI in an FDE interview?

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Assume not in a live round unless you are told otherwise. Anthropic encourages AI for researching the company and practicing answers, asks for your own first draft of application answers, and expects take-homes and live interviews without Claude unless it says otherwise ⁸. OpenAI says expectations vary by interview and that its preparation materials explain what is allowed; if you are unsure, ask your recruiter ². PostHog allows AI on the SuperDay project but expects you to defend what you built, and does not allow it in the debugging session ^9,14. The Palantir pages we read state no AI policy; a prep site says AI is prohibited throughout ²¹, but that is not Palantir's own statement.

How should you prepare?

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• Practice out loud with a person. A randomized study of 48 computer science students found performance dropped by more than half when an interviewer watched ¹⁰. It tested students on whiteboard problems, not FDE candidates, but it is a reason to rehearse with a live listener. PostHog also tells candidates to practice thinking out loud ³.
• Read other people's code. Palantir suggests swapping projects with a friend or picking an open-source bug and finding where to fix it ¹⁸; PostHog gives the open-source half of that advice for its debugging session ⁹.
• Build something real. Palantir recommends building an app for a problem in your own life or working with a public dataset ⁴.
• Know what you actually did. PostHog asks you to separate direct experience, work you were close to and things you know only in principle ³.
• Ask your recruiter. Ask which rounds to expect, whether any is a take-home and which allow AI tools. OpenAI says its recruiting team provides preparation for assessments ².