Most importantly, you are excited to help invent what product design becomes when designers no longer need to manually produce every part of the experience. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco Bay Area and work in-office four days per week. Redmond, WA candidates are required to be local to the greater Seattle metropolitan area and work in-office four days per week. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This expectation is subject to local law and may vary by jurisdiction. Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 4+ years experience working in product or service design OR Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 5+ years experience working in product or service design Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems). A portfolio or body of work demonstrating exceptional product, interaction, and visual design judgment, along with experience shipping high-quality digital products. Demonstrated hands-on experience building and orchestrating AI-powered workflows or agentic systems, including agents that use tools, context, delegation, evaluation, and feedback to accomplish complex work. Evidence of personally building working AI-driven systems, tools, or experiences that materially changed how a problem was explored, designed, or solved. Conceptual familiarity with AI alone is insufficient for this role. Experience building multi-agent, recursive, or self-improving systems that evaluate outputs, incorporate feedback, and iteratively improve subsequent work. Solid understanding of LLMs and generative AI, including prompting, context engineering, model and tool orchestration, structured outputs, retrieval, and evaluation. Working knowledge of HTML, CSS, JavaScript/TypeScript, Python, or similar technologies, with the ability to independently create and modify functional prototypes and tools. Experience working with APIs, structured data, models, tools, and external services to construct end-to-end AI experiences. Experience creating AI-powered design tooling, automation, or systems that expand the capabilities of other designers. Solid understanding of evaluation for probabilistic systems, including defining quality criteria, identifying failure modes, and designing feedback and recovery mechanisms. Exceptional interaction and visual design craft paired with the ability to encode taste and quality into principles, constraints, prompts, evaluations, tools, and systems that people or agents can apply. Demonstrated ability to establish direction in ambiguous technical spaces and transform emerging technology into understandable, useful, and differentiated customer experiences. Solid product judgment and the ability to connect customer needs, technology, research, business context, and measurable outcomes. Ability to explain complex AI systems clearly and build alignment across Product, Engineering, Research, Data Science, Design, and business leadership. Design Monetization AINative Product Design IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Own and ship high-quality AI-powered consumer experiences from early exploration through implementation, maintaining a high bar for interaction quality, visual craft, accessibility, trust, and customer impact. Design systems that design. Create AI-powered workflows that generate, critique, evaluate, refine, and operationalize design work at scale. Build and orchestrate teams of AI agents with specialized roles, tools, context, memory, and responsibilities. Design how they delegate work, share context, evaluate outputs, incorporate feedback, and escalate decisions to people. Develop recursive and learning design systems that use research, experimentation, product signals, evaluation, and human feedback to continuously improve their outputs. Build custom tools, prototypes, automations, and agentic workflows using code, models, APIs, structured data, and emerging AI technologies. Encode design principles, customer knowledge, interaction patterns, brand standards, and quality criteria into reusable systems that allow solid design decisions to scale. Design intelligent product behaviors that give people appropriate understanding and control, including intent, delegation, system status, uncertainty, correction, recovery, and human oversight. Define what good looks like for AI-driven experiences and build evaluation mechanisms that assess quality, identify failure modes, and improve the system. Partner deeply with Product, Engineering, Data Science, Research, Design, and business teams to connect customer needs with technical capabilities and influence underlying system requirements. Identify repeated human effort that can become scalable intelligence through automation, delegation, orchestration, or continuous learning. Share tools, agents, patterns, and learnings so individual experimentation becomes reusable organizational capability.