Description review

Endless Access | Engineering Lead | Hybrid NYC | full time | 150k-250k

Endless Access · Hybrid NYC · back to the listing

HR standards

63/100

needs work

Title ↔ description

80/100

solid

Reads as

Full-Stack Engineer

82% confident

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.

We're a mission-oriented org focused on bridging the global digital divide. Key to our strategy is our community game-making program: guiding learners to move from playing games to creating them. We're hiring a tech lead for our learner community platform.
Stack: Node.js, Nuxt/Vue, Apollo, GraphQL. 8+ years experience; open-source/community/edtech background desirable.
https://endlessaccess.bamboohr.com/careers/33
This is a true tech lead job: making calls about implementation, holding the standard, owning the shared delivery plan. You'll partner with a product lead on strategy, and with an engineering manager for roadmapping & delivery. You will also work hands-on in the codebase. We're a small team (about 40) and everyone is hands-on.
There's a unique org structure at play here: Endless is a multi-pronged organization, and two of them share the platform. So the role has one foot in each organization - the hiring entity is Endless Studios, and most of the engineers work at Endless Access. You'll collaborate with passionate, brilliant people on both sides of the house.
I don't refer; apply directly at the link above. All applications are reviewed by a human.

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 79 before penalties). Reviewed 21 Sep 2026.