Staff Product Designer
Lead design on foundational platform layers and AI-first capabilities at Dialpad. Define patterns and primitives, ship production code, build AI tooling, and mentor designers.
What you'll do
- Lead design on the foundational layers and platform-wide initiatives that the rest of Dialpad's product is built on.
- Partner with design, product, and engineering leadership to set direction for the platform work that feature teams depend on.
- Define the patterns, primitives, and interaction models that other designers and teams build with — and make sure they hold up at scale.
- Ship production code alongside engineering — not just front-end polish, but meaningful contributions to the systems your work shapes.
- Build production-realistic coded prototypes with real data that engineers can take forward into platform work.
- Design AI-first capabilities and infrastructure where trust, transparency, and user control are first-class concerns.
- Build your own tooling — skills, agents, and micro-apps — and raise the team's AI practice through what you build, not what you tell them to do.
- Strengthen and evolve Dialtone, our design system, and leave reusable patterns behind for the designers building on top of your work.
- Identify cross-cutting problems and opportunities other designers aren't yet looking at.
- Mentor designers across the team, give feedback that holds the bar, and coach peers on craft, communication, and AI fluency.
- Improve how the team ships, communicates, and works together — adapting your altitude for your team, leadership, and the broader design org.
Skills you'll bring
- 8+ years of shipping high-quality product design work, with a track record of impact on platform-level or foundational design surfaces — design systems, infrastructure, AI capabilities, integrations, or the patterns and primitives that feature teams build on top of.
- Treated AI as a medium you design in, not a feature you add — and shaped how your previous team or organization practices AI in their daily work.
- Built your own AI tooling — skills, agents, micro-apps, CLI workflows — to accelerate your design and shipping practice, beyond chat-window prompting.
- Shipped code into production codebases and used coded prototypes as a primary thinking and validation tool — not a bonus deliverable.
- Designed patterns, components, or systems that other designers and engineers consumed at scale, and held them up under the weight of real adoption.
- Driven work end-to-end without waiting to be told what's next — you own outcomes, not just outputs.
- Pixel-level craft that's a given — you notice things others miss in your own work, in the system, and in adjacent work.
- Strong communication across audiences — comfortable adapting altitude for your team, your manager, the design organization, and cross-functional stakeholders in PM, engineering, and leadership.
- Mentored other designers and elevated the work of people around you — a generous collaborator, not a lone wolf.
- Navigate ambiguous, complex projects autonomously while keeping your team and manager in the loop with clear asynchronous updates.
- Think in systems — designing cohesive end-to-end experiences and identifying opportunities to reduce system debt that helps the team move faster in the future.
Extra-special if you…
- Have shipped AI-native products, agentic workflows, or conversational interfaces — and have strong opinions on what makes them good.
- Have built internal tooling, prototyping infrastructure, or developer-facing design systems that other designers or engineers actually adopted.
- Maintain a personal practice — side projects, open source contributions, writing, or experiments — where you push your own craft forward.
- Have experience in SaaS, communications, contact centers, or real-time collaboration platforms.
- Have helped evolve or scale a design system, including its tooling and adoption mechanics.
- Contribute to the broader design community through writing, speaking, open source, or mentoring.
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