Product Design Lead, AI Platform

Urban Ridge Supplies•New York, NY

9h•$147,900 - $325,000

About The Position

As a Lead Product Designer on Rippling’s AI Platform team, you will help define how AI appears across the product suite and shape the patterns, systems, and interaction models that make enterprise AI useful, reliable, and integrated into work. This leadership-level individual contributor role spans ambiguous, high-impact problem spaces across multiple product areas. You will partner with product, engineering, and executive leadership to align teams on important outcomes and translate emerging AI capabilities into coherent experiences that scale across Rippling. The role combines strategic leadership with hands-on design. You will shape the vision for enterprise AI while working through interaction and graphic design details, technical constraints, model behavior, workflows, permissions, and edge cases. The AI Platform team builds foundations for AI-native products across areas including HR, IT, Finance, Spend, Travel, Payroll, and Benefits. You will be a key design partner to senior product and engineering leaders and help designers across the company create coherent, trustworthy AI experiences. Rippling highly values in-office work to foster collaboration and company culture. For office-based employees—those living within a defined radius of a Rippling office—working in the office at least three days a week is an essential function under current policy. The role offers competitive salary, benefits, and equity. US salary ranges vary by location tier: $174,000–$325,000 (Tier 1), $156,600–$292,500 (Tier 2), and $147,900–$276,250 (Tier 3) per year. Final compensation may vary based on professional background, experience, and location.

Requirements

At least 10 years of product design experience, including significant experience designing and shipping complex SaaS, platform, or enterprise products.
Recent hands-on experience designing and shipping AI products or AI-powered features, with fluency in modern AI product development trade-offs and constraints.
Exceptional systems thinking and ability to design across complex product architectures, data flows, permissions, dependencies, and edge cases.
Track record of leading high-impact, cross-product initiatives as a senior individual contributor, principal designer, design director, or equivalent design leader.
Deep interaction design craft, including creating novel patterns and demonstrating them through prototypes or production work.
Strong product judgment and strategic thinking, including framing ambiguous problems, identifying high-leverage opportunities, and influencing roadmaps across teams.
Excellent executive communication, storytelling, writing, and documentation skills; ability to make complex ideas clear, persuasive, and actionable.
Technical curiosity and fluency, including comfort working with engineers on AI systems, platform primitives, model behavior, evaluations, agentic workflows, MCPs, or related technical concepts.
Bias toward shipping, learning, and iterating quickly without sacrificing quality, coherence, or user trust.
Collaborative leadership style that builds trust across design, product, engineering, go-to-market, and customer-facing teams, while constructively challenging assumptions.
Strong point of view on how AI should improve enterprise software, combined with willingness to learn from customers, data, technical constraints, and implementation teams.

Responsibilities

Define and drive the design vision for AI Platform experiences across Rippling, including product concepts, interaction patterns, and principles for AI-native workflows.
Create reusable frameworks for AI interactions, agentic workflows, automation, human-in-the-loop review, transparency, trust, permissions, and control.
Lead large, ambiguous, cross-product design initiatives involving product, engineering, data, infrastructure, design, and go-to-market teams.
Partner with AI Platform product managers, engineering managers, product engineers, and design leaders to turn technical capabilities into intuitive, trustworthy user experiences.
Work hands-on with individual pods and connect design patterns across the AI Platform roadmap and adjacent product areas.
Translate emerging AI behaviors, model capabilities, evaluations, agentic workflows, and platform constraints into practical product patterns for teams to adopt.
Create high-fidelity prototypes, frameworks, written narratives, and decision-making artifacts to align executives, de-risk strategic bets, and help teams move quickly.
Coach designers, review work, raise the craft bar for AI product experiences, and codify patterns into scalable guidance.
Stay informed by customers, customer-facing teams, competitors, and frontier AI developments to identify needs and inform long-term AI product strategy.
Shape enterprise AI experiences around real business workflows, sensitive data, approvals, accountability, and measurable customer value.