RavenPack
As of 1 November 2026, RavenPack has 10 open roles (6 new in 30 days), its data & ai team is hiring most, and its postings name Amazon Web Services, Model Context Protocol and Docker 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
- Marbella, Andalucia, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- investment professionals, financial institutions
- Certifications on site
- ISO 27001
- Site languages
- EN
- Career system
- Teamtailor
RavenPack in one screen
Read from ravenpack.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
RavenPack is a financial data analytics platform that turns unstructured news, transcripts, filings and social media into structured insights for investment professionals. Its offerings include RavenPack Factors, C-Level Economic Sentiment, ESG Controversy Scores, Company News and Earnings Intelligence. It covers 13 languages and sources from over 40,000 web and social media outlets.
Named on the site: investment professionals, financial institutions.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 584 scored.
What RavenPack 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.
• Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications, leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies.• API & Backend Services: Build and maintain high-concurrency REST and MCP (Model Context Protocol) APIs, bridging the gap between data layers and front-facing applications.• Modular Pipeline Delivery: Package training, evaluation, and serving scripts into clean, reproducible deliverables using AWS SageMaker and Docker.
• Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications, leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies.• Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications, leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies.Apply quantization techniques (AWQ, GPTQ) and leverage specialized engines (Triton Inference Server, TEI, vLLM).Apply quantization techniques (AWQ, GPTQ) and leverage specialized engines (Triton Inference Server, TEI, vLLM).• Core Tech Stack: Deep hands-on experience with Python, PyTorch, and the Hugging Face ecosystem (Transformers, PEFT, Accelerate).• Experience with scripting languages like Bash for automation and scripting tasks.● Skills in Powershell scripting to automate tasks and improve operational efficiency.
• Technologies: AWS (EC2, Secrets Manager), GitLab (merge requests), PowerShell, SSH, Python, Bash.
You should be highly proficient with core AWS data services, such as S3, Lambda…• Workflow Orchestration: Lead the automation of complex data and application lifecycles using orchestration tools like Apache Airflow or AWS Step Functions.• Workflow Orchestration: Lead the automation of complex data and application lifecycles using orchestration tools like Apache Airflow or AWS Step Functions.Vendors whose code loads on ravenpack.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
10 open roles, 10 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 | 3 · 1 |
| IT operations & business systems | 2 · 1 |
| Marketing & communications | 1 · 1 |
| Sales | 1 · 1 |
| Software engineering | 1 · 1 |
| Travel, leisure & events | 1 · 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.
Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.We have recently launched Bigdata.com, a next-generation platform aimed at transforming financial decision-making.Sales, marketing and IT leaders by function. Add RavenPack 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 RavenPack
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 584 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.
RavenPack (Marbella, United States, 51-200 employees) has 10 open roles, 6 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/ravenpack.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 ravenpack.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 Teamtailor 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.
RavenPack: questions
Does RavenPack use Amazon Web Services?
Yes, by the company's own words: 2 postings name it, first seen 2026-10-01, in the software engineering team.
Is RavenPack hiring?
10 open roles as of 1 November 2026, 6 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From ravenpack.com itself: we crawled it on 2026-08-18, built the profile on 2026-08-19, and read its career site (Teamtailor) hourly since. Headcount is from LinkedIn.
Who should I write to at RavenPack?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 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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