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Product Design Lead, AI Products

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Glean
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Product Designer, Machine Learning/ ML Engineer, UI/UX Design
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Glean

Founded in 2019, Glean is an AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information ing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need.

Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to redefine how employees work.

About the Role

Glean is seeking an experienced design leader to define the future of our AI Products suite, transforming how businesses leverage AI. You ll lead the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, our enterprise intelligence platform, and 0→1 AI-native products. This role requires deep expertise in LLM system architecture and strong opinions about what makes exceptional enterprise AI user experiences.

As Product Design Lead for AI Products, you ll join an experienced, tight-knit, and collaborative group who love combining research, data, and intuition into user-centered design. You ll have an outsized impact on how knowledge workers interact with AI daily, shaping experiences that fundamentally transform how companies access knowledge, create content, and make decisions.

You will
:

  • Lead AI Products design strategy owning Glean s AI suite including research agents that retrieve and synthesize information, creation tools for AI-generated artifacts, and our enterprise intelligence platform that mines organizational knowledge.
  • Translate LLM complexity into intuitive UX developing deep expertise in model capabilities and constraints, creating understandable, trustworthy experiences that build appropriate mental models.
  • Create AI-powered research and creation experiences enabling employees to generate documents, presentations, and visualizations that are grounded in company data, follow brand guidelines, and maintain accuracy through intelligent citations.
  • Create AI-powered research and creation experiences that synthesize cross-functional data, write documents, make presentations, and output visualizations that are grounded in company data, follow organizational guidelines, and maintain accuracy through intelligent citations.
  • Drive 0→1 product innovation systematically identifying opportunities for AI-native products, rapidly prototyping breakthrough experiences, and scaling solutions that deliver step-changes in productivity
  • Partner with product and engineering leaders to shape product capabilities, understanding technical constraints while pushing boundaries of what s possible in enterprise AI
  • Guide team excellence
    , mentoring 3-4 senior designers while establishing clear design principles, incorporating user research to understand AI adoption patterns, and ensuring designs drive measurable outcomes
About you
  • Experience: 10+ years in product design, including 3+ years designing AI/ML products, preferably LLM-based applications.
  • AI expertise: Deep hands-on experience with LLM systems, translating system capabilities into intuitive, user-friendly enterprise products.
  • Technical fluency: Strong background enabling detailed discussions about AI architecture, model capabilities, and implementation tradeoffs with engineering teams.
  • Portfolio: Examples leading the design of sophisticated AI products at scale, ideally including agent-based systems, content generation tools, or intelligence platforms
  • Leadership & impact: Track record of shipping…
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