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About Elm AI
At Elm AI , we’re rebuilding supplier operations for an agent-first world.
We believe the next generation of enterprise software will not be passive systems of record. It will be made up of agents that stay live inside important workflows: understanding context, coordinating action, and keeping critical work moving even when teams are offline.
That is what Elm AI is building.
Our agents operate across responsible sourcing and supplier operations, helping companies manage audit review, corrective actions, supplier follow-through, remediation, and the broader execution layer around supplier relationships. Rather than waiting for someone to log in and push a process forward, Elm’s agents keep workflows active, current, and in motion.
This is not a future concept. Elm’s systems are already running in production with major consumer brands, supporting supplier programs that span thousands of factories and some of the most operationally complex environments in the market.
Our customers include multi-billion-dollar global brands. Our ambition is much larger: to build the agent-first operating layer for how global supplier work gets done .
The Role
We’re hiring a Senior Product Engineer to help build Elm AI 's core product and agent workflows.
This is a high-ownership role for someone who is both deeply technical and strongly product-minded — someone who can move from architecture to implementation to UX decisions, and who cares about building software that is not only powerful, but clear, fast, and durable.
You should be highly fluent in modern software engineering, but also opinionated about what great engineering looks like in an AI-native world: how to design systems that work well with agents, how to build fast feedback loops, how to use AI tools meaningfully in development, and how to keep quality high while moving quickly.
We’re looking for someone who can help us shape both the product and the way we build it.
What You’ll Do
Build and ship product features end-to-end across frontend, backend, and agent-driven workflows
Design clean, scalable systems and make strong architectural decisions
Work closely on the core product experience, not just the implementation details
Improve developer velocity, product quality, and internal tooling
Contribute to how Elm uses AI-native engineering practices across the stack
Identify high-leverage opportunities and move toward them without waiting for perfect specs
Help raise the bar on craft, clarity, and execution across the team
The Kind of Person Who Tends to Thrive at Elm AI
The people who thrive here are usually already building long before anyone asks them to.
They often have side projects, experiments, prototypes, writing, open-source work, or some corner of the internet where they develop a point of view. They tend to try new models and tools early, build things for fun, and care deeply about both product quality and technical depth.
They usually don’t stop at what was explicitly asked. They notice what could be more useful, more reusable, more elegant, or more leveraged — and they move toward that.
They care about speed, but not at the expense of craft. They care about quality, but don’t confuse complexity with excellence. They’re energized by ownership, ambiguity, and the chance to help invent a new category with other sharp, ambitious people.
Working Style & Time Overlap
This role is remote, but it requires overlap with U.S. Eastern Time .
Today, that typically means:
Daily standup is around 8:00 PM IST
We generally expect at least 4 hours of overlap .
In practice, this usually means availability until around 11:30 PM IST
We want to be upfront about this so expectations are clear.
Why This Role
Top-of-market compensation for the role and location
A high-trust environment with real ownership
The chance to do meaningful, high-impact work on a product already in production
A team that is deeply ambitious, technically serious, and fun to work with
Several years of runway, backed by top investors
The opportunity to help shape not just the product, but the future of the company
Perks & Support
Top percentile compensation
Learning and development budget — use it for courses, tools, research, learning, or experimentation
Generous AI / token budgets — use the tools you need, how you want
Personal spend card for R&D and learning — for experimentation, software, education, or anything that helps you build and learn faster
A culture that supports sustainable work, both in how we operate and how we build the business
