Neuronify

Observability

Instrumenting a system so its internal state can be understood from its outputs — logs, metrics, traces — and, for AI systems, the full record of each model call.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
35 of 47companies naming it
open roles naming it
128open roles naming it
of those based in NYC
64of those based in NYC
median posted base (n=47)
$225kmedian posted base (n=47)

What Observability means

Observability is the ability to explain what a running system is doing from the data it emits. The term comes from infrastructure engineering and most postings use it in that general sense: logs, metrics, traces, alerting.

AI systems add a layer. When an agent takes twelve steps to answer a question, debugging requires the whole trajectory — every prompt, tool call, retrieved document, and token count — and a way to tie cost and quality back to it. LLM-specific observability tools such as Langfuse, Arize, and LangSmith exist for that, though far fewer postings name them than name observability in general.

Observability in New York job posts

35 of the 47 New York AI companies we track name Observability in at least one open role today, across 128 postings. 64 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 98% of the postings that name it are Engineering roles.

How to read it

Treat this as a general engineering-maturity signal rather than an AI-specific one; we publish it because the gap between how many companies ask for observability and how few name an LLM observability tool is itself informative. In an AI engineering posting, it suggests production responsibility, not prototyping.

What these roles pay

$205k25th percentile
$225kMedian
$250k75th percentile

Midpoints of 47 distinct salary ranges posted on New York roles that name Observability. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $215k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.

Trend

We began extracting this term from posting text on September 20, 2026. Job descriptions disappear when a role is filled, so the series cannot be backfilled; a trend line appears here once a week of data exists.

Who names it

Open roles naming Observability, by company.

Also: Alloy, April, Arthur, Grow Therapy, K Health, Modal, Normal Computing, Optimal Dynamics, Reality Defender, Sixfold, SmarterDx, Tennr, Basis, Comet, ElevenLabs, Hume AI, Invisible Technologies, Maven Clinic, Norm Ai, Patlytics, Preql, Rillet, Runway.

Which roles

The same postings, by function and by seniority.

  • Engineering126
  • Other1
  • Research1
  • Staff/Principal51
  • Mid44
  • Senior27
  • Manager3
  • Leadership2
  • Director1

Named alongside Observability

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 35 companies pair the two.

Open roles naming Observability

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

Observability — common questions

What does Observability mean in an AI job posting?

Instrumenting a system so its internal state can be understood from its outputs — logs, metrics, traces — and, for AI systems, the full record of each model call. Treat this as a general engineering-maturity signal rather than an AI-specific one; we publish it because the gap between how many companies ask for observability and how few name an LLM observability tool is itself informative. In an AI engineering posting, it suggests production responsibility, not prototyping.

How many New York AI companies are hiring for Observability?

As of September 20, 2026, 35 of the 47 New York AI companies we track name Observability in the description of at least one open role, across 128 postings (64 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Observability pay in New York?

Across 47 distinct posted salary ranges on New York roles naming Observability, the median midpoint is $225k base, with the middle half between $205k and $250k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.

Which skills are asked for alongside Observability?

In the same postings, the terms most distinctively paired with Observability are Kubernetes, Java, Azure, AWS, Go. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

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