Petal
As of 4 November 2026, Petal has 4 open roles (4 new in 30 days), its finance & accounting team is hiring most, and its postings name Airbyte, Apache Airflow and Apache Kafka as the tools the team works in.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Quebec City Mid-Riverbank, Quebec, Canada
- Employees
- 201-500 employees (linkedin)
- Sells to
- health authorities and governments, hospitals and multi-sites, physicians
- Certifications on site
- SOC 2
- Site languages
- EN, FR
- Career system
- Recruitee
Petal in one screen
Read from petal-health.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Petal is a healthcare technology platform that provides patient navigation, workforce management, and billing operations for health systems, hospitals, physicians, and government health authorities. Its offerings include a patient hub, workforce platform with automated scheduling and on-call solutions, and billing solutions for physicians, hospitals, and health authorities. Headquartered in Canada, it serves clients across North America and integrates with EMRs and EHRs.
Named on the site: health authorities and governments, hospitals and multi-sites, physicians, hospital departments, nurses.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 597 scored.
What Petal 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.
• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.
• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.• We currently use Snowflake Cloud, DBT, Airbyte, Airflow, Python, Infrastructure as Code (Terraform, Kubernetes, Helm), Azure Cloud, Kafka, Debezium, Gitlab, Prompt Engineering, Vector Databases, and LangChain/LangGraph.Vendors whose code loads on petal-health.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
4 open roles, 5 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 finance & accounting in Canada →
| open · new 30 d | |
|---|---|
| Finance & accounting | 3 · 3 |
| Sales | 1 · 0 |
| Data & AI | 0 · 1 |
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 Petal 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 Petal
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 597 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.
Petal (Quebec City Mid-Riverbank, Canada, 201-500 employees) has 4 open roles, 4 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/petal-health.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 petal-health.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 Recruitee 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.
Petal: questions
Does Petal use Airbyte?
Yes, by the company's own words: 1 posting name it, first seen 2026-10-05, in the team.
Is Petal hiring?
4 open roles as of 4 November 2026, 4 opened in the last 30 days and 2 closed. The largest team hiring is finance & accounting.
Where does this profile come from?
From petal-health.com itself: we crawled it on 2026-08-06, built the profile on 2026-08-16, and read its career site (Recruitee) hourly since. Headcount is from LinkedIn.
Who should I write to at Petal?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 2 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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