Interview rounds
How to build a golden set for LLM evals when the customer has no labeled data
The customer wants proof and has no labels. Build a golden set from real traffic: stratified sampling, expert labels, agreement checks and versioning.
Narrow, sourced articles on forward deployed engineer interviews. Each one links to the guide it belongs to, and every fact in it names its source.
Posts 49 to 60 of 100.
Interview rounds
The customer wants proof and has no labels. Build a golden set from real traffic: stratified sampling, expert labels, agreement checks and versioning.
Pay and offers
Your FDE offer came with a deadline. What candidates report moved and what didn’t, with scripts for the first call, competing offers, equity and deadlines.
Preparation
Run a realistic FDE mock interview on your own: timers, prompts, recordings, a self-scoring checklist and a script for the friend who plays your customer.
Interview rounds
A structure for telling a customer the project is late: the spoken answer, the follow-up email, and the phrases that make it worse.
The FDE role
Hotel weeks, customer pressure and constant switching. What former FDEs and leaders say about the strain, what no one measures, and what to ask a team.
The FDE role
A friend called FDE ‘SWE-lite’. What hiring leaders and candidates say about the FDE technical bar, how to judge a role, and how to stay sharp in one.
What the evidence says
FDE growth headlines come from different datasets, windows and methods. What each figure measures, what it misses and what it means for your job search.
The FDE role
The case for and against the forward deployed model, from the companies investing in it and the people doubting it, and the skills that last either way.
What the evidence says
No employer publishes a decomposition interview rubric. What Palantir describes, what prep sites say interviewers score, and a checklist to use instead.
Interview rounds
The demo looks great, then the interviewer asks how you know it works. A full answer names the metric, the data, the baseline, the result and monitoring.
Interview rounds
Position bias, verbosity bias, self-preference and rubric drift: the LLM-as-a-judge failure modes, and how to check a judge against human labels.
Preparation
FDE postings ask for customer-facing experience. What hiring leaders say counts, where to find it in your past, and how to write it on your resume.
Every post belongs to a longer guide. Each guide covers its topic whole.