AI governance
The policies, controls, and accountability an organization puts around how AI is built, bought, and used — and the evidence that they are followed.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 6 of 47companies naming it
- open roles naming it
- 21open roles naming it
- of those based in NYC
- 3of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What AI governance means
AI governance is the operating layer between principles and practice: an inventory of where AI is used, risk tiers for those uses, review before deployment, monitoring after, and named owners. External frameworks — the NIST AI Risk Management Framework, ISO 42001, the EU AI Act, and in financial services long-standing model risk management rules — give it structure.
The gap the field keeps running into is between publishing a principles document and changing what happens in a data pipeline or a product review. Closing that gap is mostly organizational work, carried out by people who can read both a regulation and a model card.
AI governance in New York job posts
6 of the 47 New York AI companies we track name AI governance in at least one open role today, across 21 postings. 3 of those are based in New York; the rest are remote or in the companies’ other offices.
It is not confined to one function. GTM roles are the largest group, at only 29% of the postings that name it.
How to read it
In startup postings this term is rare, and it is spread across public-sector partnerships, engineering, operations, and legal roles rather than owned by one function. That understates the market: in our research the New York employers hiring hardest for governance are banks, insurers, and law firms, which sit outside our startup-weighted coverage. Read the number here as a floor on startup demand, not as the size of the field.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming AI governance before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.
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 AI governance, by company.
- AlphaSense7
- ElevenLabs6
- Headway3
- Rogo3
- Alloy1
- Maven Clinic1
Which roles
The same postings, by function and by seniority.
- GTM6
- Engineering5
- Operations3
- Finance & Legal2
- Product2
- Other2
- Senior11
- Mid6
- Staff/Principal3
- Manager1
Named alongside AI governance
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 6 companies pair the two.
- GCP 2
Open roles naming AI governance
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.
- GRC Analyst ↗Rogo · New York City
- Senior Data Scientist ↗Alloy · New York City
- Senior Manager, GRC ↗Maven Clinic · New York, New York, United States; New York, NY; Remote, US (Hub cities)
- AI Security Analyst ↗AlphaSense · Remote - India
- Privacy Manager ↗Headway · Remote
- Public Sector Partnerships - Canada ↗ElevenLabs · Canada
- GRC Analyst, APAC ↗Rogo · Singapore
- Compliance Analyst - AI Governance ↗AlphaSense · Bengaluru
On the AI in NYC Show
- Episode 17: Governing AI for Real
Alayna Kennedy, Mastercard
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.
Related on Neuronify
AI governance — common questions
What does AI governance mean in an AI job posting?
The policies, controls, and accountability an organization puts around how AI is built, bought, and used — and the evidence that they are followed. In startup postings this term is rare, and it is spread across public-sector partnerships, engineering, operations, and legal roles rather than owned by one function. That understates the market: in our research the New York employers hiring hardest for governance are banks, insurers, and law firms, which sit outside our startup-weighted coverage. Read the number here as a floor on startup demand, not as the size of the field.
How many New York AI companies are hiring for AI governance?
As of September 20, 2026, 6 of the 47 New York AI companies we track name AI governance in the description of at least one open role, across 21 postings (3 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for AI governance pay in New York?
We do not publish a pay figure for AI governance yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.
Which skills are asked for alongside AI governance?
In the same postings, the terms most distinctively paired with AI governance are GCP. 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?
A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.
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