Backend Engineer, Foundations

Equall New York, NY

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Posted 02 Nov 2026

Last seen 02 Nov 2026

Location New York, NY

Lifecycle fresh

Grade D

Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown

Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
Corroboration 5 / 10 Whether more than one source carries this listing.
Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.

Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →

This listing does not state a salary

$129k – $205k

That is the middle half of what comparable roles paid on this board over the last 90 days — 174 listings that did publish a figure, median $170k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.

What this role involves →

Description review

66/100 HR standards 82/100 Title ↔ description 97/100 Fit to the official role

Read the marked-up listing →

hn-hiring

Equall is an AI-native platform for corporate legal work in private markets. We extract and reconcile legal information from source documents (charters, SPAs, board consents) and produce auditable outputs: cap table tie-outs, governance dashboards, personnel summaries. Law firms use us to do due diligence in hours instead of weeks. Working with leading ECVC firms now, expanding into PE and M&A.
The role: own the knowledge graph at the core of the platform. Design the public APIs, build the Prefect pipelines that turn documents into structured graph data, run it in production on Kubernetes.
Stack: Python, Prefect, Postgres, Redis, Kubernetes.
Need: production backend experience (Python, Go, Rust, or Zig), data pipelines at scale, strong views on API design, comfort on k8s.
Bonus: built a graph DB, designed workflow orchestration, integrated LLM workflows into backend infra, Kafka.
Apply: https://jobs.ashbyhq.com/equall/48013ed1-8fab-4b49-b926-6d7e252c1086 and mention HN.

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Where this listing came from

02 Nov 2026 Hacker News first sighting

Seen on 1 board over 0 days.