Elm AI jobs, judged for you, free
AI agents for supply chain, sourcing, and compliance teams.
- AI
- New York, United States
- 1–50 people
- Private
Newest at Elm AI.
- GTM and StrategyNew York, United States; New York City, NY · Full-time
- Senior Product EngineerRemote; International · Remote · Full-time
- AI Deployment Strategist (Supply Chain, Sourcing, Procurement, and Compliance)United States · Full-time
The company, in brief.
What they do
Elm AI builds AI agents for supplier work. The agents review audit reports, draft corrective actions, renew certificates, and follow up with suppliers. Consultants and deployment engineers choose one workflow with a customer and put it into use in about six weeks. Major consumer brands use it across more than 10,000 factories.
What they value
- Raise the ceiling inside the company, and question every idea.
- Be unreasonably optimistic about what can work.
- Make new technology easy for customers to use.
- Act fast on decisions you can undo, and take care with the rest.
- Put customers first, and take responsibility when something goes wrong.
- Have fun and make room for curiosity.
Where they hire
Elm AI is remote-first, with people in New York, London, and India. The GTM role is hybrid or remote, ideally in New York. The deployment strategist role is hybrid in the United States. The engineering role is remote anywhere, with four hours of overlap with US Eastern Time. The Postings say nothing about visa sponsorship.
Teams and roles
The board lists three openings, one in each area.
- Engineering: a senior product engineer builds the product and its agent workflows across frontend and backend, and owns the user experience too.
- Deployment: an AI deployment strategist owns customers from onboarding to renewal. The work is to map their processes and find where AI helps.
- Go-to-market: a generalist works with the founders on sales, marketing, and positioning, and builds the first GTM function. The role travels often.
What they look for
Every Posting asks for ownership and comfort when things are unclear. Each one asks for real use of AI tools in daily work. The engineering role asks for proof that you build things, such as side projects or open-source work. The deployment role asks for three to seven years in a customer-facing role. Supply chain or sourcing experience helps but is not required.
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