Description review

Google | Senior Staff Software Engineer, CodeAI | Munich, Germany | On-site

Google · Munich, Germany · back to the listing

HR standards

40/100

poor

Title ↔ description

84/100

solid

Reads as

Unclear

no confident match

How others title the same work

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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
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

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.

The role is to help set technical direction for how we build and use coding agents at Google: agent infrastructure, making Googlers more productive with agents, and making the agents themselves better.
We’re especially looking for someone who has actually built agentic systems and has experience using them to make software development materially faster in a large engineering organization. This is not primarily a “follow the space” role — we want someone who has shipped these systems, learned what works and what doesn’t, and can use that experience to shape the next generation.
The space is moving very quickly and is competitive both inside Google and externally. We’re looking for someone highly creative who wants to challenge how things are done today, has strong technical judgment, and can turn ideas into working systems with the team.
A big part of the role is not just setting direction, but getting there: prototyping, building, iterating, and inspiring the team to rethink what is possible.
If that sounds interesting, please apply:
https://www.google.com/about/careers/applications/jobs/results/87958496640672454-senior-staff-software-engineer-full-stack-codeai

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: 16 points (from 56 before penalties). Reviewed 1 Oct 2026.