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Here’s my read before I start searching:

• This is a deployment-builder hire, not a classic pre-sales SE search — the closest matches will be people who still code, work inside customer environments, and turn messy enterprise problems into production AI systems.
• I see three real candidate lanes — career FDEs / forward-deployed builders, applied AI engineers with consulting or post-sales delivery depth, and technical founders or early startup engineers who’ve done customer-facing implementation. I’d start with the first lane unless you want more 0→1 founder energy than title fidelity.
• The hardest trade-off is frontier AI depth vs enterprise delivery polish — the market often splits those between AI-native builders and cloud/consulting operators. Your preference there will change both target companies and how I score adjacent profiles.
• “Founding FDE” likely means high-agency ICs, not heavyweight leaders — I’ll bias toward hands-on builders who can shape the motion, unless you want someone meaningfully more senior than the title suggests.

Here’s what I’m seeing in the market:

• London is a real target pool, not just a fallback geography — Anthropic, OpenAI, Palantir, Faculty, Arva AI, and Mistral all show applied AI or forward-deployed talent in-market there. That means I can stay tight on London rather than widening to Europe immediately.
• Palantir-style forward-deployed builders are still the cleanest translation — that ecosystem consistently produces engineers who embed with customers, ship in production, and operate well under ambiguity. I’m treating that lane as a benchmark, even though you want founder-heavy coverage first.
• The founder lane is viable, but only if I stay strict on hands-on LLM evidence — plenty of startup founders look strategic; far fewer show production agents, evaluations, Python builds, or enterprise deployments. I’ll screen that lane hard for real build depth.
• The best adjacent pool is applied AI delivery, not generic solutions engineering — Databricks-, OpenAI-, and Faculty-style profiles with RAG, agent orchestration, and evaluation work are much closer than classic pre-sales architects. I’m biasing toward builders who happened to be customer-facing, not sellers who learned AI vocabulary.

Founder-heavy profiles will only be worth it if they show real build depth, so I’m testing that lane against cleaner FDE and applied-AI delivery pools rather than assuming the founder title itself is enough.

The early read is clear: Palantir/OpenAI-style forward-deployed profiles are the most reliable lane, while founder backgrounds only work when the profile still reads like a hands-on builder rather than an executive.

I’ve got enough signal now: the London pool is real, but the market splits between clean forward-deployed operators and founder/builders who only sometimes translate into customer-embedded delivery.

Candidate-identifying transcript details are omitted from the public demo fixture.

I put together a shareable market brief for the hiring manager that explains:

• how the London market splits across the main candidate lanes
• where the strongest talent clusters sit
• what backgrounds translate best to Anthropic
• what looks close but usually isn’t
• the practical implications for calibrating interviews and expectations

If you want, I can also turn it into a shorter one-page version with a more executive tone.

Tightened it into a shorter version. If you want, I can make it even more exec-style — closer to a half-page brief.