Hirenest
As of 1 November 2026, Hirenest has 26 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name Amazon Web Services, C++ and Google Cloud as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- 2-10 employees (estimated)
- Sells to
- job seekers, employers, recruiters
- Certifications on site
- Site languages
- EN
- Career system
- Ownsite_html
Hirenest in one screen
Read from hirenest.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Hirenest is an AI-powered hiring platform that connects job seekers with employers through skill-based matching and automated assessments. It offers AI video interviews, MCQ and open-ended assessments, an AI resume builder, smart job matching, career insights, and hiring analytics. It serves both job seekers and employers, including recruiters.
Named on the site: job seekers, employers, recruiters, employers and recruiters.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 563 scored.
What Hirenest says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
tise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azure), knowledge of MLOps practices, and strong problem-solving abilities.Key skills include strong programming fundamentals (Python, C++), expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azurtise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azure), knowledge of MLOps practices, and strong problem-solving abilities.Specialization on Coursera, fast.ai's Practical Deep Learning for Coders, DeepLearning.AI's MLOps Specialization, books like 'Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow', and platforms like Kaggle for hands-on practice.Specialization on Coursera, fast.ai's Practical Deep Learning for Coders, DeepLearning.AI's MLOps Specialization, books like 'Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow', and platforms like Kaggle for hands-on practice.tise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azure), knowledge of MLOps practices, and strong problem-solving abilities.Key skills include strong programming fundamentals (Python, C++), expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azurskills include strong programming fundamentals (Python, C++), expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azure),ude strong programming fundamentals (Python, C++), expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, Azure), knowledge oKey skills include strong programming fundamentals (Python, C++), expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), understanding of data structures and algorithms, experience with cloud platforms (AWS, GCP, AzurVendors whose code loads on hirenest.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
26 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 9 · 0 |
| Software engineering | 4 · 0 |
| Finance & accounting | 2 · 0 |
| Human resources | 2 · 0 |
| Marketing & communications | 2 · 0 |
| Engineering (non-software) | 1 · 0 |
| Healthcare clinical | 1 · 0 |
| IT operations & business systems | 1 · 0 |
| Product, program & project management | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Hirenest to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Hirenest
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 563 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Hirenest (, United States, 2-10 employees) has 26 open roles, 0 new in 30 days, and names 10 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/hirenest.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from hirenest.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ownsite_html career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Hirenest: questions
Does Hirenest use Amazon Web Services?
Yes, by the company's own words: 18 postings name it, first seen 2026-10-27, in the data & ai team.
Is Hirenest hiring?
26 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From hirenest.ai itself: we crawled it on 2026-08-02, built the profile on 2026-08-15, and read its career site (Ownsite_html) hourly since. Headcount is from LinkedIn.
Who should I write to at Hirenest?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 3 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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