Design Systems Product Designer

We're looking for a senior Product Designer to help set the vision and strategic direction for Instagram Design Systems — the system that ensures craft scales with Instagram. Our system is the connective tissue that ensures quality across every surface.

This role sits at the intersection of design craft, systems architecture, platform engineering, and AI-native tooling. You'll drive the strategic direction of how Instagram's design system evolves — identifying new opportunities, shaping the roadmap, and driving initiatives from vision through execution across component design, documentation, and AI knowledge layers. The work spans component libraries, spec-to-code alignment, design tooling, and cross-platform standards (iOS, Android, iPad, foldables) — requiring someone who can set direction for systematic quality end-to-end while navigating the organizational and technical complexity of shipping at Instagram's scale.

You’ll be a recognized leader not just within design, but across the product group — driving execution, culture, and process on a cross-functional team of designers, engineers, and product managers. You'll influence product design teams across Instagram to drive adoption, shape what's on-system vs. bespoke, and ensure the system flexes to serve both today's UI patterns and tomorrow's AI-generated experiences. The ideal candidate has deep systems thinking, exceptional craft sensibilities, a strong point of view on scalable design architecture, and the ability to identify new opportunities, influence senior stakeholders, and drive initiatives that wouldn't happen without them.

10+ years of product design experience, with a proven track record of identifying and driving design system initiatives at consumer scale — including component libraries, design tokens, documentation, or governance You should have led (not just contributed to) systematic work that had broad organizational impactA portfolio that demonstrates exceptional systems thinking and craft — showing work that spans component design, pattern libraries, cross-platform adaptation, or design tooling We want to see rigor and beauty

Deep experience designing for large-scale consumer products — ideally platforms where consistency across dozens of surfaces and hundreds of engineers is a real challenge You've been a recognized leader not just within design, but across a broader product group

Demonstrated ability to identify opportunities and design systems that scale — you've made decisions about abstraction, composability, and quality that held up to the complexity of real product development, and you drove those initiatives proactively rather than being handed them Experience partnering closely with engineering on component APIs, code architecture, and spec-to-code alignment — you understand the translation layer between design intent and implementation

Comfort with AI-native workflows and tooling — either direct experience building systems for AI agents to consume, or strong intuition for how design knowledge needs to be structured for machine readability

Experience measuring design system adoption and quality — you've helped build the case for system investment through evidence, not just conviction

Cross-platform experience (iOS, Android, responsive) with an understanding of how platform design languages evolve and how systems accommodate that evolution — with particular familiarity with Android design patterns and development workflows

Coding experience is a plus — especially comfort working within token infrastructure, making refinements to design token values, naming, and semantic structures that engineering teams rarely have bandwidth forA track record of investing in design workflow improvements — creating and maintaining Figma libraries, developing presentation decks, building documentation templates — that raise the quality and efficiency of the broader design team Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies