Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEEcoVadis_
As of 3 November 2026, EcoVadis has 24 open roles (29 new in 30 days), its sales team is hiring most, and its postings name Python, AssessFirst and Salesforce as the tools the team works in.
As of 3 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- 1001-5000 employees (linkedin)
- Sells to
- purchasers, global leaders, suppliers
- Certifications on site
- ecovadis
- Site languages
- EN, DE, FR, IT, ES, NL, PT, JA
- Career system
- Smartrecruiters
EcoVadis in one screen
Read from ecovadis.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
EcoVadis is a service provider that offers a sustainability intelligence platform for assessing and managing supply chains across 180+ countries. It supplies supplier ratings, risk mapping, compliance mapping, and AI-assisted continuous monitoring, backed by expert validation. It serves purchasers, suppliers, and global leaders across 230 industries.
Named on the site: purchasers, global leaders, suppliers, purchasers and buyers.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 590 scored.
What EcoVadis 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.
• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML modelsAssessFirst is used to support talent assessment decisions.• Recording and documenting all calls and communications in Salesforce.com in order to identify trends for improvement• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models• Partner with AI/ML Engineers to build low-latency GraphRAG retrieval layers—writing optimized Cypher and SPARQL queries, implementing NL2Query tools for agents, hybrid vector-graph indexing pipelines, and Model Context Protocol (MCP) tool• Design, implement, and maintain high-speed GraphRAG ingestion pipelines that transform relational data (ERP, SQL), unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs (Neo4j, Memgraph) and RDF Triple Stoesign, implement, and maintain high-speed GraphRAG ingestion pipelines that transform relational data (ERP, SQL), unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs (Neo4j, Memgraph) and RDF Triple Storesild low-latency GraphRAG retrieval layers—writing optimized Cypher and SPARQL queries, implementing NL2Query tools for agents, hybrid vector-graph indexing pipelines, and Model Context Protocol (MCP) tool endpoints for autonomous LLM agentsesign, implement, and maintain high-speed GraphRAG ingestion pipelines that transform relational data (ERP, SQL), unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs (Neo4j, Memgraph) and RDF Triple Storesesign, implement, and maintain high-speed GraphRAG ingestion pipelines that transform relational data (ERP, SQL), unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs (Neo4j, Memgraph) and RDF Triple StoresVendors whose code loads on ecovadis.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
24 open roles, 34 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 sales in United States →
| open · new 30 d | |
|---|---|
| Sales | 7 · 7 |
| Data & AI | 5 · 5 |
| Product, program & project management | 5 · 5 |
| Customer service & success | 3 · 3 |
| Human resources | 1 · 0 |
| Software engineering | 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.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add EcoVadis 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 EcoVadis
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 590 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.
EcoVadis (, United States, 1001-5000 employees) has 24 open roles, 29 new in 30 days, and names 14 tools in its postings. (Breaknorm, 3 November 2026, https://breaknorm.co/company/ecovadis.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 ecovadis.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 Smartrecruiters 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.
EcoVadis: questions
Does EcoVadis use Python?
Yes, by the company's own words: 16 postings name it, first seen 2026-10-09, in the product, program & project management team.
Is EcoVadis hiring?
24 open roles as of 3 November 2026, 29 opened in the last 30 days and 10 closed. The largest team hiring is sales.
Where does this profile come from?
From ecovadis.com itself: we crawled it on 2026-10-29, built the profile on 2026-10-31, and read its career site (Smartrecruiters) hourly since. Headcount is from LinkedIn.
Who should I write to at EcoVadis?
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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