Description review

Akkio | Senior Software Engineers — FDE,

Akkio · Remote · back to the listing

HR standards

52/100

needs work

Title ↔ description

77/100

solid

Reads as

Full-Stack Engineer

85% 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

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.

Full-Stack, Backend| US (Fully Remote) | Full-time | $160k–$240k + equity | https://www.akkio.com/jobs

Akkio builds the AI platform the world's largest media agencies (Havas, Horizon Media, and others) use to run campaign workflows in production: audience building, media planning, measurement, and campaign analysis. Agentic workflows plus traditional ML, deployed on-premises inside agency cloud environments, directly on top of their data. We're ~50 people, past PMF, well funded, and growing revenue quickly.
We build agentically by default. Every engineer directs coding agents daily, and we're actively rebuilding our SDLC around that — not piloting it, not debating it. If you've felt that shift and want a team that's all the way in, that's us. We also run flat, so "senior" means ownership, not management layers.
Three roles, all $160k–$240k + equity:
* Forward-deployed engineer (FDE) — Python, TypeScript, true generalist. You embed with agencies whose systems steer billions in media spend and build whatever the problem needs: integrations, agent workflows, backend services. What you build in the field becomes product. Regular travel.
* Full-stack (web) — Vue.js, TypeScript, Node.js. You've run projects, guided architecture, and survived framework upgrades and large refactors. You care about the experience analysts live in every day.
* Backend — Python. Interesting work in at least two of: LLM systems and code generation, statistics, traditional AI/ML, large-scale data processing, distributed systems.
Details and application: https://www.akkio.com/jobs
All candidates must be authorized to work in the US.

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 64 before penalties). Reviewed 21 Sep 2026.