Sr. Staff Product Designer
$189.5k - $256kIntuit Inc
At Intuit, our mission is to Power Prosperity for consumers and small businesses around the world. We are looking for a Sr. Staff Product Designer who builds AI-native experiences hands-on and scales them into real customer benefit for millions of TurboTax customers. You will shape how we design, prototype and ship AI-centric experiences at the system level: the patterns, tooling, evaluation methods and design-system contributions that let many teams deliver great AI experiences, not just one. You will hold a high bar for quality at scale, and partner closely with engineering, design and AI science. You will work in Intuit's Consumer Group on our flagship product, TurboTax, as part of a design team with a relentless focus on simplifying the complex so customers can file not just with confidence, but with a delightful experience. Responsibilities Build AI-native, hands-on
- Design and prototype AI-powered experiences directly, using code-assist tools, prompting and skills, and use working prototypes to explore ideas and evaluate them with customers.
- Define what 'great' looks like for AI behavior: set expectations, scenarios and quality criteria with engineering and AI science, and help evaluate outputs against them.
- Design experiences that make AI features intuitive, transparent and trustworthy for a diverse range of users.
- Inform the strategy and direction of our AI-acceleration initiatives through design thinking, customer experimentation and data.
- Drive team outcomes: identify customer problems, define requirements and deliver end-to-end experiences across web and mobile with velocity and rigor, balancing long-term considerations with continuous shipping.
- Deliver frameworks, principles and designs that accelerate large initiatives and align stakeholders across teams and business units.
- Contribute significantly to the Intuit design system and tools, extending them for AI-native patterns (conversational, generative, agentic UI) that raise the floor for every team.
- Act as a subject matter expert and advocate, using strong narratives to drive adoption of AI-accelerated tools and processes among designers, developers and partners.
- Mentor others and lead through facilitation, so people learn from you and want to work with you.
- Bachelor's degree or equivalent experience.
- 8+ years of experience in product design (interaction, product or service design, or a related field), with a strong online portfolio.
- Track record of shipping quality visual and interaction design for complex end-to-end flows across multiple teams.
- Demonstrated ability to integrate AI tools and hands-on prototyping with code-assist tools into your workflow to improve quality, speed or exploration, plus a clear point of view on how AI will change the craft of product building.
- Practical design systems experience: significant contribution to an enterprise-grade design system or tools, with examples of advocacy that drove breakthrough adoption.
- Strong user-centered design practice (design thinking, storytelling, concept visualization, customer research) with engineering, product and research partners, and a proven ability to set a vision and inspire others.
- Highly collaborative: takes in multiple points of view, synthesizes decisions and communicates outcomes across the organization.
- Mastery of design tools, agile development methods and accessibility requirements, in both design and code.
- Skill at simplifying complex ideas and delivering within technology constraints, with confidence managing ambiguity.
Bonus: content engineering and evaluation
Content quality is how AI-driven experiences succeed or fail, so we value designers who can define and measure 'great', not only design it. Any of these strengthens your application:- You are as comfortable in a prompt file or a rubric as you are in Figma. When an AI output misses the mark, you can tell whether the fault is in the prompt, the system or the input, and you know how to fix it.
- Experience writing prompts and skills, and creating rubrics, evaluation criteria and golden datasets to score outputs by hand or with automated evaluation.
- Working knowledge of how generative systems use context: instructions, retrieved knowledge, skills, tools and memory.
- Foundations in information architecture, taxonomy and content modeling, plus comfort with JSON, YAML and version control.
- Knowledge of conversation design and narrative techniques for single- and multi-page flows.
- Experience with A/B testing, and judgment about when an experience should use generated content and when it should use static content.
$149.8k - $262.2k
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