Principal Product Designer, AutogenAI

• Significant experience at Principal or strong Senior+ level designing B2B enterprise SaaS, with a track record of influencing direction beyond your own features
• A portfolio showing clear problem framing, strategic thinking and high-quality UI for complex workflows: intricate processes, multiple user types or high-stakes decisions
• Hands-on experience designing AI-powered products, ideally agentic ones. You know the difference between a system that suggests and one that acts, and what that shift asks of an interface
• An understanding that trust and explainability live in system state and interaction sequencing, not only in microcopy or visual treatment
• Working knowledge of accessibility standards (WCAG 2.2 AA) and inclusive design
• The ability to lead through influence: clear communication, sound judgement on trade-offs, and confidence presenting to and challenging senior stakeholders
• Comfort in a fast-moving environment, turning complex, AI-mediated work into simple, usable experiences
• Expert use of Figma and modern prototyping practices, including AI-assisted design tools
• Experience building or scaling a design system in a growing product organisation

Desirable

• At AutogenAI, we're changing how teams win work, not just how they write documents. Our platform is moving from AI that suggests to AI that acts: agents that research, draft and assemble proposals on a user's behalf, while the people who own the bid stay firmly in control
• We're looking for a Principal Product Designer to shape that shift. You'll define how bid and proposal teams delegate to, supervise and trust AI, own the experience of key areas of our platform, and help raise the bar for design across the team
• This is a hands-on individual contributor role: you'll do the work yourself, and your influence will reach well beyond your own features
• You'll report to Chief Product Officer and join a design team of 4, working closely with Product, Engineering and Customer teams
• Shape product direction. Partner with Product and Engineering leads to frame the biggest user and business problems, influence the roadmap, and turn ambiguity into clear design strategy
• Design how people work with agents. Move beyond "AI proposes, human accepts" to a calibrated range of autonomy, with clear moments for review, override and audit built in from the start
• Make trust visible. Extend our trust patterns (source verification, calibrated confidence, visible progress) so every claim can be checked and every autonomous step traced back to what it did and why
• Treat context as design material. Work with Engineering on what the system knows when it acts (instructions, memory, retrieved evidence, tool access) as part of the experience, alongside layout and flow
• Own complex journeys end to end. Take multi-step, multi-user workflows from discovery to polished, production-ready UI, making the hard trade-offs and bringing stakeholders with you
• Lead the design system's evolution. Keep agentic and AI-assisted patterns feeling like one coherent, accessible and refined product as we grow
• Stay close to users. Lead research with customers and internal bid teams working under deadline and compliance pressure. Learn where they welcome AI autonomy and where they need control, and connect design decisions to measurable outcomes
• Ship with care. Work with engineers on edge cases, failure states and QA so what we ship matches the design intent and stands up to enterprise and regulatory scrutiny
• Help designers grow. Mentor, lead critiques, and shape how design is practised and valued at AutogenAI