Chapter 09Artifacts and Resources2 min read

Resources to read, listen to, and bookmark

What you’ll learn

The canonical FDE reading list: books, articles, podcasts, published rubrics, live job postings to study, and job boards / talent platforms.

The canonical reading list (in order)

Read these in this sequence. The first three together explain the Palantir lineage; the next three frame the 2025–2026 hiring shift; the rest build out archetype-specific depth.

  1. 01

    Reflections on Palantir

    Nabeel Qureshi·2024 (~80K words)

    The primer.

  2. 02

    Sorry, that isn't an FDE

    Ted Mabrey·Sept 2025

    Gold standard rebuttal to title inflation.

  3. 03
  4. 04
  5. 05

    First Round Review, So You Want to Hire a Forward Deployed Engineer

    Feb 2026

    Decisive 2026 piece on archetypes and red flags.

  6. 06
  7. 07
  8. 08

    Forward Deployed AI Titles

    Flybridge, Why Founder (Lou Mehr)·Aug 5, 2025

  9. 09

    The Palantirization of everything

    Ramp Builders (Lou Mehr)·Aug 5, 2025

  10. 10
  11. 11

    Is the FDE role becoming less desirable?

    Pragmatic Engineer·Nov 2025

  12. 12

    Understanding FDE Culture

    Barry Mc Cardel·2026

  13. 13

Podcasts

  1. 01
  2. 02

    Altimeter Capital × Colin Jarvis (OpenAI Head of FDE)

    Nov 2025

    The most authoritative current state interview.

  3. 03

    No Priors, Shyam Sankar (Palantir)

    2024

  4. 04

    No Priors, Gabe Pereyra (Harvey co-founder)

    Dec 5, 2025

    FDE-as-design-discovery.

  5. 05

    YC Lightcone Podcast, multiple FDE-relevant episodes; especially Bob McGrew (ex OpenAI CRO, ex-Palantir).

  6. 06

    Latent Space Podcast (swyx & Alessio), ongoing; Vintra/Mistral episode has explicit FDE segment.

  7. 07

    Stratechery, Shyam Sankar & Ted Mabrey

    2023, foundational

Hiring rubrics and frameworks already published

  1. 01
  2. 02
  3. 03
  4. 04
  5. 05

    OpenRound, interview rubric: Analysis, Discovery, Planning, Judgement, Execution, AI Collaboration

  6. 06
  7. 07
  8. 08
  9. 09

    Glassdoor, Palantir FDE interview reviews (196 questions, 193 reviews)

Live job postings to study (April 2026)

  1. 01

    OpenAI Careers

    Multiple FDE variants, NYC, SF, Tokyo, London, DC Gov, Life Sciences.

  2. 02
  3. 03
  4. 04
  5. 05

    Harvey, Decagon, Mercor, Hebbia, Cognition, Scale AI, Mistral, Anduril, Sourcegraph, Palantir (lever.co/palantir), Salesforce (careers.salesforce.com JR305198)

  6. 06

Job boards / talent platforms

  1. 01
  2. 02
  3. 03

    Wellfound

  4. 04

    Levels.fyi job board

  5. 05

    Recruiting From Scratch

  6. 06

    Underdog.io

  7. 07

    Mercor

  8. 08

    A.Team

  9. 09

    Fonzi

  10. 10

    Handshake AI

  11. 11

    Sequoia Atlas

  12. 12

    a16z talent network

Key takeaways

  • Read in order: Nabeel Qureshi, Ted Mabrey, a16z, Pragmatic Engineer, First Round Review, Bloomberry.
  • Watch new live JDs from Cursor, Anthropic, Glean, OpenAI to see how the role is being rewritten in real time.
  • Bookmark fwddeploy.com as the FDE-specific aggregator.

Bringing it together

What's actually changed in 2026.

Three years ago, ‘Forward Deployed Engineer’ was a Palantir term most recruiters had never heard. Today it's the fastest-growing job category in tech and the central GTM mechanism for the AI economy.

But the role hasn't just expanded, it has fragmented. The OpenAI FDE deploying GPT-5 to Morgan Stanley, the Sierra ‘Agent Engineer’ configuring guardrails for Sonos, the Anduril ‘Mission Operations Engineer’ embedded with warfighters, and the Ramp FDE pod winning enterprise deals share a job title and almost nothing else.

The recruiter who treats them as a single role will fail badly, usually by sourcing a great candidate for the wrong archetype. The recruiter who internalizes the eight archetypes, runs a calibrated intake call to lock down which one this hiring manager actually wants, sources adjacent backgrounds (founding engineers, Palantir alumni, Customer Engineers from API-first companies) with the right Boolean strings, screens for AI judgment rather than AI vocabulary, and runs a real-codebase technical loop with AI tools mandatory and observed, that recruiter will close offers in a market where demand outstrips supply by an order of magnitude.

The single sharpest test in this entire playbook: if you remember nothing else, ask candidates to show you one moment where they worked with customers and shipped something useful but non-obvious.

Built for AI-native hiring

Test how FDEs ship with AI.

OpenRound tests how FDE candidates work on technical problems with business context, while giving them access to AI tools.