Description review

Snowflake | Forward Deployed Engineer, Product

Snowflake · Remote · back to the listing

HR standards

42/100

poor

Title ↔ description

58/100

needs work

Reads as

Machine Learning Engineer

96% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

Large employers

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  • Machine Learning Engineer, CX Intelligence Coinbase
  • AI Engineer - FDE (Forward Deployed Engineer) Databricks
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  • Senior AI Engineer – Notebooks Datadog

Startups

  • Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
  • Member of Technical Staff (applied) Anthrogen
  • Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Manager| Menlo Park, CA | Warsaw, Poland | London, UK | ONSITE

I’m part of Snowflake’s Applied AI / Forward Deployed Engineering team, and we’re hiring for multiple roles on the team.
We work directly with strategic customers to design, build, deploy, and improve production AI systems on Snowflake. That includes LLM applications, RAG and agentic workflows, evaluation frameworks, guardrails, observability, and production iteration using Snowpark, Cortex, and Snowflake’s native AI capabilities.
For the FDE role, we’re looking for strong engineers who can build and ship customer-facing AI systems end to end, especially if you’ve worked on LLM apps and care deeply about evals and quality. For the Senior role, we’re looking for someone who can lead multi-engineer AI engagements, mentor other engineers, and still be hands-on in architecture and implementation. The roles are customer-facing and involve travel, including at least 25% onsite time with strategic customers.
If you like working in ambiguity, building real AI systems instead of demos, and partnering closely with customers to get things into production, these roles are a good fit.
* Senior Forward Deployed Engineer, Menlo Park, CA: https://careers.snowflake.com/us/en/job/SNCOUSA253CD7A2E69453EB8B604BE3E91B6C2EXTERNALENUS12455179F3FF4739B8C0C21F3C116B87/Senior-Forward-Deployed-Engineer-Applied-AI
* Forward Deployed Engineer, Warsaw, Poland: https://careers.snowflake.com/us/en/job/SNCOUS7EFCFE1247594E518A308EA79EAB418EEXTERNALENUS467250B043BC47AA91D56312687E4097/$%7Btitle%7D
* Staff Product Manager, London, UK: https://careers.snowflake.com/us/en/job/SNCOUSCACA807AEC05482C8E7B6F31EE3E081BEXTERNALENUS775F7C0EF4CA4334A3C5100811DAF192/Staff-Product-Manager-AI-FDE

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 54 before penalties). Reviewed 21 Sep 2026.