Senior Product Designer

At [REDACTED], we are building the foundational layer that connects enterprise data to AI: a layer that doesn’t just relay information, but genuinely understands it, making business meaning explicit, trusted, and actionable at scale.

The problem we’re solving is deceptively hard. [REDACTED] runs the core operations of most of the world’s largest companies. The data is reliable. The meaning, however, is buried inside 30 years of configurations, customizations, and undocumented logic that no AI system can interpret on its own. We’ve spent decades inside these environments. We know the problem intimately, and we’ve built our company around a single conviction: before AI can truly scale inside the enterprise, business meaning must be made explicit.

[REDACTED] is that missing link: an enterprise semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to become the system of reason sitting above [REDACTED], where intelligence, metrics, and AI automation are defined, governed, and executed.

As our product designer, you'll own design across the platform and define how enterprise intelligence becomes legible: shaping the interfaces through which humans and AI navigate business meaning together, from the ground floor, alongside a team that takes both craft and mission seriously. That is our promise.

Tasks

• Own the UI layer. Define how semantic models, metrics, governance rules, and data lineage are represented, versioned, and navigated in the platform.
• Own the design foundations. Build and maintain our design system, visual language, and component library, and keep design and code in sync with engineering.
• Translate complexity. Turn ambiguous requirements into scalable interaction patterns that work for data engineers and business stakeholders alike.
• Ship end-to-end. Work directly with engineering and product from early concept to shipped product. No handoffs.
• Design for AI. Build interfaces where humans and AI think together: natural language exploration, structured reasoning, governed outputs.
• Research and synthesize. Conduct user research and usability testing with enterprise customers; translate findings into design decisions with clear rationale.
• Defend your decisions. Articulate design rationale confidently across technical and non-technical contexts: founders, engineers, and customers.

Requirements

• Enterprise design depth. 7+ years of product design experience, including 4+ years on complex B2B software: data platforms, developer tools, or analytics applications.
• Systems thinker. Able to design coherent patterns at scale, hold a large design vision, and break it into shippable pieces without losing the thread.
• Self-directed. Comfortable as the sole designer: setting your own priorities, making calls without a design team to lean on, and actively seeking critique from engineers, product, and customers.
• Strong portfolio. End-to-end process from research and problem framing to interaction design and high-fidelity execution, on genuinely hard problems.
• AI-first by default. Comfortable prototyping with AI tools and in code (we use Claude Code heavily); experienced building interfaces where humans and AI collaborate on complex tasks.
• Collaborative partner. Direct track record of working with engineering through the build cycle, not as a handoff, and making the people around you better.
• Clear communicator. Articulates design rationale precisely to engineers and non-technical stakeholders; invites feedback and adapts without losing direction.

Strong plus:

• Background in data visualisation, dashboard design, or developer-facing tools.
• Experience designing natural language or AI-assisted interfaces.

Benefits

• Competitive compensation. Fair and attractive pay that reflects the seniority and impact of the role.
• Real ownership. You'll report to our Head of R&D and shape product direction directly with our CTPO and CEO. We're scaling deliberately, and your influence grows with the product.
• People who care. Everyone on the team is deeply invested in the problem and committed to doing the work well.
• Full transparency. No filtered updates. Everyone knows what’s being built, how the business is doing, and where we’re going.

If that sounds like your kind of problem, we’d like to hear from you.