Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEr.Potential_
As of 30 October 2026, r.Potential has 2 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name PostgreSQL, Python and Apache Spark 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
- San Francisco, California, United States
- Employees
- Self-employed (linkedin)
- Sells to
- fortune 50 companies, fortune 100 enterprises, enterprise ai leaders
- Certifications on site
- Site languages
- EN
- Career system
- Bamboohr
r.Potential in one screen
Read from rpotential.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
r.Potential is an independent AI measurement platform for enterprises that assigns a dollar value and readiness score to AI work decisions. It offers the Unit of Potential framework, a Global Labor Graph, and a Chief Potential Officer agent to evaluate AI deployment across organizations. It cites Fortune 50 and Fortune 100 clients.
Named on the site: fortune 50 companies, fortune 100 enterprises, enterprise ai leaders.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 593 scored.
What r.Potential 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.
Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.Lead, hire and grow the data team across data science, data engineering, knowledge graph and data platform work, and own the architecture, reliability and cost of our Databricks platform, directly at first and through the team as it grows.You'll ship features end-to end across our React/Vite/shadcn frontend and Python/FastAPI backend.• Own features from "rough Figma plus a problem statement" to "deployed and demoed to an executive."Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.You'll ship features end-to end across our React/Vite/shadcn frontend and Python/FastAPI backend.You'll ship features end-to end across our React/Vite/shadcn frontend and Python/FastAPI backend.Our data platform runs on Databricks and Microsoft Azure, with PostgreSQL, Neo4j for our labor graph, Python, Spark and SQL, and REST APIs and microservices for delivery.You'll ship features end-to end across our React/Vite/shadcn frontend and Python/FastAPI backend.• Prior experience with shadcn, Radix, Tailwind, FastAPI, Alembic, Postgres, TanStack Query, Clerk, Supabase, Vercel, or Railway.• Production work in either React/TypeScript or Python, and the willingness to ramp on the other.Vendors whose code loads on rpotential.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
2 open roles, 1 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 | 1 · 0 |
| Software engineering | 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 r.Potential 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 r.Potential
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 593 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.
r.Potential (San Francisco, United States, Self-employed) has 2 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/rpotential.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 rpotential.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 Bamboohr 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.
r.Potential: questions
Does r.Potential use PostgreSQL?
Yes, by the company's own words: 2 postings name it, first seen 2026-06-01, in the data & ai team.
Is r.Potential hiring?
2 open roles as of 30 October 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 rpotential.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Bamboohr) hourly since. Headcount is from LinkedIn.
Who should I write to at r.Potential?
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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