Description review

neoshare | Senior Product Engineers (AI) | Germany (Munich, Frankfurt, Berlin) | HYBRID (3+ days/week onsite) | Full-time

neoshare · Germany (Munich, Frankfurt, Berlin) · back to the listing

HR standards

61/100

needs work

Title ↔ description

77/100

solid

Reads as

Full-Stack Engineer

99% confident

How others title the same work

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What the listing never says

  • 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.

neoshare builds software for banking and real estate: complex financing workflows, property valuation and market intelligence, and corporate ownership analysis.
We're hiring engineers for teams of up to four people, each owning a product or part of our shared platform. The team handles customer problems, product decisions, design, implementation and production. Work ranges from permissions and data infrastructure to financial domain logic and user interfaces.
Looking for people who have shipped products and are strong across disciplines: full-stack engineers with product sense, design engineers, and backend/platform engineers who care about how their systems are used.
We use LLMs throughout development, from exploring codebases to implementing and testing features. You should be comfortable directing them, reviewing their work, and taking responsibility for what ships.
German preferred, especially for customer-facing work; but not a must.
Hiring process: intro call, a 90-minute product exercise with your own tools, and a joint review.
Apply: [email protected]. Send a few links to things you've built and a short note on your contribution.

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: 8 points (from 69 before penalties). Reviewed 2 Oct 2026.