Staff Product Designer, Search and Conversational AI

LinkedIn•San Francisco, CA

20h•Hybrid

About The Position

LinkedIn is transforming Search from a traditional jobs and people lookup tool into an AI-powered partner that connects its global users to economic opportunity. The Staff Product Designer will shape next-generation search, content discovery, and conversational AI experiences, leading zero-to-one initiatives within a mature global platform. The role combines technical architecture with human-centered design to turn AI capabilities into intuitive, polished products. The designer will lead end-to-end design across platforms, work closely with Engineering, Product, and AI Research Scientists, and use prototyping and AI-driven workflows to explore and validate dynamic user experiences. The role calls for systems thinking, clear direction in ambiguous problem spaces, and design that meets strong standards for localization, usability, safety, accessibility, and ethical AI. The position is hybrid and based in Sunnyvale, San Francisco, or New York.

Requirements

BA/BS degree in graphic design, design communication, human-computer interaction, or a related field, or an equivalent combination of education and experience.
8+ years of product design experience, with a portfolio demonstrating leadership on complex, high-impact consumer products.
Ability to lead design in ambiguous and technically rigorous problem spaces, set direction, and align multiple partners or teams.
Expertise in interaction and visual design, including typography, layout, hierarchy, and motion.
Strong UX fundamentals, including information architecture, system-level thinking, and designing for engagement and retention at scale.
Fluency in Figma and modern prototyping workflows, with the ability to work across low- and high-fidelity.
Data-informed approach and comfort partnering with research and analytics to develop hypotheses, evaluate outcomes, and iterate.
Strong communication and storytelling skills, including presenting to senior leaders and influencing without authority.
Understanding of accessibility standards and inclusive design best practices.

Nice To Haves

Extensive experience designing complex software applications, with expertise in consumer search and conversational AI, model tuning using reinforcement learning or supervised fine-tuning, and related practices for high-quality user outcomes.
History of advancing radical ideas, encouraging divergent design thinking, and shipping transformative zero-to-one products in scaled, highly matrixed environments.
Comfort navigating technical architecture and working directly with AI/ML engineering teams.
Experience using system instructions, AI tools, and interactive prototyping platforms such as Cursor, Claude Code, and Figma to shape UX requirements.
Exceptional fluency in visual design, motion design, interaction patterns, and scalable design systems across desktop and mobile.
Ability to use behavioral data and user research to evaluate AI interactions, while exercising sound judgment when data is limited.
Outstanding communication, facilitation, and storytelling skills, including articulating design rationale and influencing strategy with executive partners.
Commitment to building ethical, safe, inclusive, and accessible products for a diverse global audience.

Responsibilities

Lead end-to-end design of conversational AI, content discovery, and search interfaces across platforms, including experiences optimized for non-deterministic outcomes.
Partner with Engineering, Product, and AI Research Scientists to navigate complex search technology and inform model requirements, system instructions, and cross-functional product strategy.
Use advanced prototyping tools and AI-driven workflows to simulate model responses, build interactive concepts, and validate dynamic user flows through rapid experimentation.
Apply systems thinking to integrate UI components into a cohesive global product ecosystem; bring clarity to ambiguity and guide ideas from concept to launch.
Create visual, motion, and interaction patterns that meet high standards for localization, usability, safety, accessibility, and ethical AI.