From 191ed5dd87e518a80e9b9575c1ffd1d3c77b2747 Mon Sep 17 00:00:00 2001 From: Viktor Barzin Date: Sat, 16 May 2026 13:04:57 +0000 Subject: [PATCH] recruiter-triage: AI culture & tooling section in deep research New section between Remote and Perks. Covers: - Leadership stance (last-12mo public statements on internal AI use) - Approved tools (Cursor / Copilot / Claude Code / ChatGPT Enterprise / internal LLM gateway) - Per-seat usage limits, quotas, model whitelist/blacklist, DLP blocks on source-to-external-models - Code-gen safety policy (review of AI-generated code, disclosure) - Whether the company ships AI features and at what depth - If the web is silent: explicit follow-up questions to ask the recruiter in writing Co-Authored-By: Claude Opus 4.7 --- agents/recruiter-triage.md | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/agents/recruiter-triage.md b/agents/recruiter-triage.md index 37eee7c..ee67b47 100644 --- a/agents/recruiter-triage.md +++ b/agents/recruiter-triage.md @@ -49,6 +49,38 @@ The prompt body includes: - Office locations + days-in-office requirement. - Time-zone policy if relevant. +## AI culture & tooling +**Very important for Viktor.** Cover both adoption posture (does leadership +push AI? Is it banned? Tolerated?) AND concrete tooling Viktor would +have access to as an engineer. + +- **Leadership stance**: Has the CEO/CTO/heads-of-eng publicly said + anything about AI for internal use (last 12 months)? Cite the + statement. Examples worth pulling: "all engineers must use Claude", + "we have an internal LLM", "AI usage is restricted to ", + "we don't allow paste of source into external LLMs". +- **Approved tools**: Which IDE assistants (Cursor, Copilot, Claude + Code, Continue, JetBrains AI), which chat tools (ChatGPT Enterprise, + Claude.ai, Gemini, internal Bedrock/Anthropic gateway), any custom + internal LLM-platform. Quote pricing-tier (Enterprise vs Pro vs + free) where stated. +- **Usage limits / quotas**: Per-seat token caps, daily/monthly $ + caps, model whitelist/blacklist, what's blocked by DLP, whether + source code can be sent to external models. +- **Code-gen safety**: Any policy on AI-generated code review? PR + bots? Required disclosure on AI-assisted commits? +- **AI on the product side**: Does the company ship AI features? At + what depth (wrapper / proprietary model / model-training shop)? + Signals from job titles ("ML platform engineer", "evals lead"). +- **If the web is silent on any of these — list them as explicit + follow-up questions to ask the recruiter**, under a sub-heading + "To ask the recruiter (in writing)". + +Sources to try: company blog, engineering blog, Hacker News threads, +the company's careers page (often lists tools), Glassdoor "interview +questions" tab, Built In , Reddit r/, Blind. Quote +or link primary sources. + ## Perks & office life Be specific. If you can't find data for a sub-item, say "not found" — do not guess. Pull from the company's careers page, levels.fyi "benefits"