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Salary
≈ $89k – $227k per year (Estimated)
Location
Remote (likely United States, ET hours)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 9, 2026.

Overview
Company
Impact
Profile match
Elm AI helps supply chain, procurement, sourcing and compliance teams make AI actually work in their operations.

About Elm AI

Elm AI builds AI agents for sourcing, compliance and supplier operations. Our software is live with major consumer brands, helping teams manage audit reviews, corrective actions and supplier follow-through across thousands of factories.

The role

We’re hiring a Senior Product Engineer to build Elm’s core product and agent workflows. You’ll own features from architecture and implementation through UX decisions, and help shape how we build software with AI.

What you’ll do

  • Ship features end-to-end across frontend, backend and agent workflows.
  • Design scalable systems and make clear architectural decisions.
  • Shape the product experience alongside the implementation.
  • Improve developer velocity, product quality, feedback loops and internal tooling.
  • Develop practical AI-assisted engineering practices and identify useful work without waiting for detailed specs.

What we’re looking for

  • Deep technical skills, strong product judgment and care for clear, fast, durable software.
  • Fluency in modern software engineering and thoughtful use of AI tools in development.
  • Evidence of building: side projects, prototypes, open-source work, writing or other work you’re proud of.
  • Curiosity about new models and tools, ownership in ambiguous situations, and a balance of speed and craft.

Working hours

This is an international remote role, with at least 4 hours of overlap with U.S. Eastern Time. We offer competitive compensation, benchmarked to your role, experience and regional market.

Why join

  • High ownership over a product already in production with major global brands.
  • Several years of runway, backing from top investors and a technically ambitious team.
  • Top-of-market compensation for the role and location.
  • A learning and development budget, generous AI and token budgets, and a personal spend card for R&D and experimentation.
  • A culture that supports sustainable work and gives you room to shape the product and company.
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