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About Ecoplant
Ecoplant builds the software layer that makes industrial compressed air systems smart. Our platform connects to the machines on a plant floor, continuously reads what's actually happening across the system, and optimizes it in real time — cutting energy waste, preventing downtime, and giving plant and energy teams a live picture of an asset that used to be a black box. Compressed air is one of the largest and least-visible energy consumers in industry, and we're the ones making it measurable and controllable.
We started as a startup and still work like one: small teams, short cycles, decisions made by the people doing the work. Since joining Ingersoll Rand, we do it with the reach of a global industrial leader behind us — thousands of real industrial sites, real machines, and real energy data. It's a rare combination: startup speed, industrial scale, and a product whose impact you can measure in megawatt-hours.
We're looking for a Product Designer who is also a builder, someone who designs complex industrial software and uses AI as a native part of how they work: code-based prototyping, building agents and automations, and shipping thinking as working artifacts rather than static screens.
You'll own end-to-end experiences across the Ecoplant platform: monitoring and diagnostics, system schematics, optimization and control, reporting and sustainability. These are data-heavy, expert-user products where a good decision relies on the right number being in the right place at the right moment. Simplifying that is the job.
You'll be part of a small design team working inside a mature design system, with direct access to product, engineering, and the industrial experts who know these systems inside out. You'll also help shape how our design practice works with AI — the workflows, the agents, the reusable assets, not just use the tools that already exist.
Own product design end-to-end. From problem framing and user research through flows, states, high-fidelity UI, developer handoff, and design QA on what actually shipped.
Turn complex industrial systems into clear, efficient journeys: make the expert faster without making the newcomer lost.
Design for AI in the product. How users delegate to it, understand what it did, and trust it. Confidence, uncertainty, explainability, and recovery are design problems here, not engineering afterthoughts.
Prototype in code and with AI tools. Test an interaction as a working thing early, instead of debating a static mock.
Work within and extend our design system (components, tokens, patterns, documentation) so the product stays one coherent language as it grows.
Build the team's AI leverage: agents, orchestrations, and automated assets that speed up research synthesis, spec writing, design-system upkeep, QA, and handoff for everyone, not just for you.
Partner closely with product and engineering from the first conversation, and stay involved until quality ships.
What you'll bring
2+ years designing digital products, preferably B2B SaaS with real depth. Dashboards, data-heavy interfaces, monitoring or control systems, configuration, permissions, operational workflows.
AI fluency as a working practice, not a curiosity. You use AI daily across your workflow, and you can show what you built with it: agents, orchestrations, automated assets, custom instructions, working prototypes. Come ready to walk us through the how.
Hands-on prototyping ability with AI code tools (Cursor, Claude Code, Figma Make). You don’t need to be an engineer; you do need to be able to make an idea real.
Strong UX and UI craft. Systems thinking and product judgment, plus the visual precision that separates a functional screen from an excellent one.
Advanced Figma. Components, variants, variables, auto layout, prototyping, and design system work as a natural part of how you build.
Ownership. You define the problem before jumping to the solution, drive your area with minimal oversight, and argue your trade-offs clearly.
A portfolio showing the challenge, the decisions, the trade-offs, and the shipped outcome.
Working English, spoken and written.
Nice to have
Experience from a product company that genuinely adopted AI into daily workflows, where AI is how the team works.
Background in industrial, IoT, energy, manufacturing, or another domain with real physical constraints.
Experience with data visualization, diagrams and schematics, alerting, or time-series interfaces.
Contribution to building or scaling a design system, including documentation and governance.
Familiarity with front-end fundamentals and design-to-code workflows.
Who this role is for
Someone who wants ownership over a product that matters and the freedom to change how design gets done. If your instinct when you hit a repetitive design problem is to build something that solves it permanently — for you and for the team — you'll fit here.
The process
An intro conversation, a portfolio review, and a practical assignment you'll present to the team. The assignment is a real design problem from our world, and you're expected to use AI the way you actually work — we're interested in how you got there, not only what you produced.