Evidently
As of 30 October 2026, Evidently has 4 open roles (0 new in 30 days), its customer service & success team is hiring most, and its postings name Claude Code, FastAPI and Google BigQuery as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- 11-50 employees (linkedin)
- Sells to
- admitting providers, cdi specialists, denial specialists
- Certifications on site
- HIPAA, SOC 2
- Site languages
- EN
- Career system
- Ownsite_html
Evidently in one screen
Read from evidently.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Evidently is a software company that provides clinical data intelligence tools for healthcare organizations, including AI chart summarization, AI chat embedded in the EHR, and intelligent note drafting. Its offerings span hospital quality and revenue, value-based care, emergency medicine, and perioperative care, with features such as CDI review, denial appeals, HCC identification, and registry abstraction. It integrates directly into SMART on FHIR-enabled EHR systems.
Named on the site: admitting providers, cdi specialists, denial specialists, chief medical officers, population health leaders, chief financial officers, emergency medicine physicians, surgical leaders, hospitalists, pharmacists, healthcare organizations, hospital administrators, clinical teams.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 595 scored.
What Evidently 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.
You'll administer the AI tools the whole company runs on — Claude and Claude Code seats, MCP connectors, Vertex AI access and quotas — as a first-class part of our IT stack, not a side project.• Support backend engineers on runtime performance: Python async, FastAPI/Django serving characteristics, concurrency patterns, and where infrastructure choices constrain application-level performance.• Own data infrastructure health across GCP data systems, including AlloyDB, Cloud Storage, BigQuery, and Cloud Logging: performance tuning, query analysis, storage lifecycle management, connection management, backup/restore, and disaster r• Support backend engineers on runtime performance: Python async, FastAPI/Django serving characteristics, concurrency patterns, and where infrastructure choices constrain application-level performance.• Own AI and LLM inference infrastructure end-to-end: Vertex AI, Model Garden, and model serving platforms (vLLM, Cloud Run, GPU provisioning), latency SLOs, cost optimization, auto-scaling characteristics, and capacity planning for product• Own AI and LLM inference infrastructure end-to-end: Vertex AI, Model Garden, and model serving platforms (vLLM, Cloud Run, GPU provisioning), latency SLOs, cost optimization, auto-scaling characteristics, and capacity planning for product• Device fleet — Apple Business Manager and MDM across an all-Mac fleet; provisioning, reset, and redistribution as the team changesYou'll administer the AI tools the whole company runs on — Claude and Claude Code seats, MCP connectors, Vertex AI access and quotas — as a first-class part of our IT stack, not a side project.Bash · Python · FastAPI · Django · PostgreSQL · GCP (GKE · Cloud Run · AlloyDB · BigQuery · Cloud SQL · Pub/Sub) · Kubernetes · Docker · OpenTelemetry · GitHub Actions• Build and maintain CI/CD pipelines (GitHub Actions) that make deployments fast, safe, and boring, with rollback, canary, and feature toggling patterns baked in.• Design, implement, and maintain highly available, scalable, and secure cloud infrastructure on Google Cloud Platform: GKE, Cloud Run, AlloyDB, Cloud Storage, Pub/Sub, and adjacent services.• Own data infrastructure health across GCP data systems, including AlloyDB, Cloud Storage, BigQuery, and Cloud Logging: performance tuning, query analysis, storage lifecycle management, connection management, backup/restore, and disaster r• Design, implement, and maintain highly available, scalable, and secure cloud infrastructure on Google Cloud Platform: GKE, Cloud Run, AlloyDB, Cloud Storage, Pub/Sub, and adjacent services.• Design, implement, and maintain highly available, scalable, and secure cloud infrastructure on Google Cloud Platform: GKE, Cloud Run, AlloyDB, Cloud Storage, Pub/Sub, and adjacent services.Vendors whose code loads on evidently.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
4 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 customer service & success in United States →
| open · new 30 d | |
|---|---|
| Customer service & success | 1 · 0 |
| Data & AI | 1 · 0 |
| IT operations & business systems | 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 Evidently 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 Evidently
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 595 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.
Evidently (, United States, 11-50 employees) has 4 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/evidently.com)
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 evidently.com: 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.
Evidently: questions
Does Evidently use Claude Code?
Yes, by the company's own words: 2 postings name it, first seen 2026-10-26, in the it operations & business systems team.
Is Evidently hiring?
4 open roles as of 30 October 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is customer service & success.
Where does this profile come from?
From evidently.com itself: we crawled it on 2026-09-03, built the profile on 2026-09-03, and read its career site (Ownsite_html) hourly since. Headcount is from LinkedIn.
Who should I write to at Evidently?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
Get this company your way
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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