Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEFactored_
As of 4 November 2026, Factored has 10 open roles (2 new in 30 days), its data & ai team is hiring most, and its postings name Python, Amazon Web Services and Amazon Bedrock 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
- Mountain View, California, United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- fortune 500 companies, retail and cpg, healthcare and life sciences
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
Factored in one screen
Read from factored.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Factored is a service provider that delivers AI, machine learning, and data engineering to enterprises. Its offerings include embedded engineering teams, managed AI and data solutions, AI advisory, and AI residency programs. It serves Fortune 500 companies across retail, healthcare, manufacturing, financial services, and technology.
Named on the site: fortune 500 companies, retail and cpg, healthcare and life sciences, manufacturing and logistics, financial services.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 592 scored.
What Factored 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.
• Standardize how the agent calls functions, interacts with legacy systems, or executes Python code in a sandboxed environment.• Build, deploy, and manage cloud-native AI applications on AWS (Bedrock, Lambda, ECS) and other modern infrastructure.
• Build, deploy, and manage cloud-native AI applications on AWS (Bedrock, Lambda, ECS) and other modern infrastructure.• Architect and manage containerized microservices and orchestration platforms for ML workloads using Docker and Kubernetes (EKS, GKE, AKS).
• Architect and manage containerized microservices and orchestration platforms for ML workloads using Docker and Kubernetes (EKS, GKE, AKS).
• Build, deploy, and manage cloud-native AI applications on AWS (Bedrock, Lambda, ECS) and other modern infrastructure.• Build, deploy, and manage cloud-native AI applications on AWS (Bedrock, Lambda, ECS) and other modern infrastructure.• Architect and manage containerized microservices and orchestration platforms for ML workloads using Docker and Kubernetes (EKS, GKE, AKS).• Act as an internal AI accelerator by onboarding teams, building reusable prompts, and automating repetitive workflows to drive the adoption of AI-native developer tools (Claude Code, Cursor) org-wide.
• Act as an internal AI accelerator by onboarding teams, building reusable prompts, and automating repetitive workflows to drive the adoption of AI-native developer tools (Claude Code, Cursor) org-wide.• Architect, design, and implement backend Python systems that integrate with LLMs via the Model Context Protocol (MCP), ensuring services are scalable, secure, and production-ready.• Deep expertise in project management methodologies, agile methodologies and advanced proficiency with tools like Jira, Asana, or Monday.com.• Experience with project management tools such as Monday, Trello, or Notion• Experience with project management tools such as Monday, Trello, or NotionVendors whose code loads on factored.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
10 open roles, 4 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 | 7 · 1 |
| Sales | 2 · 0 |
| Product, program & project management | 1 · 0 |
| Education & training | 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 Factored to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Factored
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 592 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.
Factored (Mountain View, United States, 201-500 employees) has 10 open roles, 2 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/factored.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 factored.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 Greenhouse 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.
Factored: questions
Does Factored use Python?
Yes, by the company's own words: 7 postings name it, first seen 2025-01-30, in the data & ai team.
Is Factored hiring?
10 open roles as of 4 November 2026, 2 opened in the last 30 days and 2 closed. The largest team hiring is data & ai.
Where does this profile come from?
From factored.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Factored?
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.
Factored and 41.5M more,
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