Mountain View, United States; Redmond, United States
Full job description
Senior Product Designer role on Monetization Inventory Design team focused on AI-powered consumer experiences across Microsoft Copilot, Bing, MSN, gaming, and other surfaces. Responsibilities include designing AI workflows, building AI agent teams, developing recursive learning systems, creating custom tools and prototypes, encoding design principles into scalable systems, and partnering with cross-functional teams. Requires 4+ years (Master's) or 5+ years (Bachelor's) experience in product or service design, strong portfolio, hands-on experience with AI-powered workflows and multi-agent systems, knowledge of LLMs, generative AI, HTML, CSS, JavaScript/TypeScript, Python, APIs, and evaluation of probabilistic systems. Position requires working on-site four days per week in Redmond, WA or Mountain View, CA. Salary range USD $119,800 - $234,700 per year generally, USD $160,200 - $261,000 in SF Bay Area and NYC.
What you'll do
Own and ship high-quality AI-powered consumer experiences from early exploration through implementation
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Mountain View, United States; Redmond, United States
Full-time
Design 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
Develop recursive and learning design systems using research, experimentation, product signals, evaluation, and human feedback
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
Design intelligent product behaviors that provide understanding and control including intent, delegation, system status, uncertainty, correction, recovery, and human oversight
Define quality standards for AI-driven experiences and build evaluation mechanisms to assess and improve systems
Partner with Product, Engineering, Data Science, Research, Design, and business teams to align customer needs with technical capabilities
Identify repeated human effort that can be automated, delegated, orchestrated, or continuously learned
Share tools, agents, patterns, and learnings to create reusable organizational capabilities
Requirements
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 OR equivalent experience
Preferred: Master's Degree AND 6+ years experience OR Bachelor's Degree AND 8+ years experience OR equivalent experience
Portfolio demonstrating exceptional product, interaction, and visual design judgment
Experience building and orchestrating AI-powered workflows or agentic systems
Experience building multi-agent, recursive, or self-improving systems
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
Experience working with APIs, structured data, models, tools, and external services
Experience creating AI-powered design tooling, automation, or systems
Understanding of evaluation for probabilistic systems including quality criteria, failure modes, feedback and recovery mechanisms
Exceptional interaction and visual design craft and ability to encode taste and quality into principles, constraints, prompts, evaluations, tools, and systems
Ability to establish direction in ambiguous technical spaces and transform emerging technology into customer experiences
Solid product judgment connecting customer needs, technology, research, business context, and measurable outcomes
Ability to explain complex AI systems clearly and build alignment across teams
