Elm AI
Jobs at Elm AI
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Artificial Intelligence • Logistics • Software
Build and deploy AI-powered software for customer workflows, including integrations, backend services, agent workflows, and user interfaces. Work directly with customers to understand requirements, prototype solutions, productionize them with monitoring and human review, diagnose rollout issues, and convert deployment insights into reusable product capabilities. The role requires strong cross-stack engineering, customer communication, product judgment, and hands-on experience with LLMs or AI agents.
23 Days AgoSaved
Artificial Intelligence • Logistics • Software
Owns customer relationships from onboarding through adoption, expansion, and renewal. Maps workflows and data, identifies high-value AI opportunities, translates needs into implementation requirements, partners with product and engineering on deployments, leads rollout and adoption, tracks customer value, and develops repeatable customer success and deployment playbooks.
Artificial Intelligence • Logistics • Software
Generalist supporting founders in building Elm AI’s go-to-market function. Responsibilities span customer discovery, positioning, messaging, content, outbound outreach, partnerships, events, sales conversations, pilots, commercial discussions, and product feedback. The role will track customer and revenue outcomes, test new growth approaches, and help shape product direction. Supply-chain, procurement, or sourcing experience is preferred but not required. The position is full-time and hybrid or remote, ideally based in New York, with frequent customer and industry-event travel.
Artificial Intelligence • Logistics • Software
Build Elm AI’s core product and AI agent workflows across frontend, backend, and product experience. Own features from architecture through implementation, make scalable technical decisions, improve developer velocity and product quality, and establish practical AI-assisted engineering practices. The role requires strong product judgment, technical depth, ownership in ambiguous situations, and the ability to ship durable software in an international remote environment.



