AI Native Product Designer

Accenture•Seattle, WA

4d•Hybrid

About The Position

Accenture is building a new portfolio of agentic software products in the industries we have spent decades helping to transform. We begin with advantages most product companies do not have: deep industry expertise, trusted relationships with many of the world’s largest organizations, and direct access to the complex workflows and problems that matter most to them. That allows us to build closely with customers while creating repeatable products that can be taken broadly to market. We are forming small, highly capable product teams to do this. These teams bring product management, design, and engineering together with the autonomy to move quickly, make decisions, and own outcomes from the earliest prototype through production and scale. This is a product design role within a permanent product team. It is not a consulting design, service design, design strategy, research-only, or forward-deployed role.

Requirements

Minimum 8 years of experience designing, delivering, and optimizing software products, digital platforms, or user experiences in production environments.
Minimum 8 years of experience leading the design of complex products, major product capabilities, or new business offerings from concept through launch, adoption, and ongoing enhancement.
Minimum 2 years of substantive, hands-on experience designing AI-native products, intelligent workflows, or user experiences that incorporate generative AI into day-to-day product usage.
Minimum 2 years of experience designing products that leverage Large Language Models (LLMs), AI agents, retrieval systems, tool integrations, workflow automation, or other advanced AI technologies.
Minimum 2 years of experience designing for AI-enabled user experiences, including considerations related to latency, model quality, explainability, uncertainty, reliability, human oversight, and failure recovery.
Minimum 8 years of experience applying interaction design, information architecture, user-centered design, prototyping, visual design, and systems thinking to enterprise or consumer software products.
Minimum 8 years of experience designing complex enterprise, technical, or expert-user workflows while balancing usability, efficiency, and user control.
Minimum 8 years of experience making product and design decisions that improve usability, adoption, customer satisfaction, and business outcomes.
Minimum 8 years of experience collaborating with product managers, software engineers, and cross-functional stakeholders throughout the product lifecycle, from discovery through production release.
Minimum 8 years of experience conducting customer research, user interviews, usability testing, journey mapping, or other user-centered research methodologies and translating insights into product decisions.
Minimum 2 years of experience utilizing AI-powered design, research, content creation, or prototyping tools to improve design quality, productivity, and decision-making.
Demonstrated portfolio containing a minimum of 3 years of shipped product work that showcases end-to-end ownership, interaction design expertise, product thinking, and measurable user impact.
Minimum 8 years of experience operating with significant autonomy, managing competing priorities, and making decisions in ambiguous, fast-paced, or evolving environments.
Minimum 8 years of experience presenting design recommendations, product concepts, user insights, and strategic decisions to engineers, product leaders, executives, customers, and domain experts.
Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate's degree, must have a minimum of 6 years of work experience.

Nice To Haves

You are an exceptional AI-native product designer who has taken complex software products or major product areas from zero to one and owned the experience through launch, adoption, and continuous improvement.
You combine strong interaction design, systems thinking, visual craft, customer empathy, and product judgment with a high bar for quality.
You are comfortable starting with an ambiguous customer problem, developing a clear point of view, and working with product and engineering to turn it into a product that is useful, intuitive, trustworthy, and well crafted.
You understand that AI-native products require more than placing a conversational interface on top of an existing workflow.
You know how to design systems that reason, act, use tools, manage uncertainty, explain themselves, recover from failure, and involve people at the right moments.
You are also AI-native in how you work. You use AI tools to accelerate research, synthesis, concept development, prototyping, content design, design exploration, and critique while maintaining ownership of the quality and coherence of the final experience.
You are energized by small teams, high autonomy, direct customer exposure, and the opportunity to help define how a new product design organization should operate.

Responsibilities

Shape the product from the beginning. Work with product managers and engineers from the earliest stages of discovery to define the customer problem, product thesis, and experience strategy.
Help the team decide what to build, not simply how it should look after the decision has been made.
Turn ambiguity into clear concepts, flows, prototypes, and product direction.
Design AI-native experiences. Define how users interact with agents, models, tools, and automated workflows. Design for intent, delegation, oversight, uncertainty, transparency, correction, escalation, and control.
Create experiences that help users understand what the system is doing, when they should trust it, and when they need to intervene.
Simplify complex workflows. Develop a deep understanding of users, industry processes, data, constraints, and business goals.
Reduce complicated enterprise workflows into experiences that feel coherent, intuitive, and purposeful without removing the controls expert users need.
Prototype to learn. Create prototypes early and often to explore product ideas, test interaction models, and learn directly from customers and design partners.
Use working prototypes rather than static presentations wherever possible.
Move fluidly from rough concepts to detailed production-ready designs.
Own the end-to-end experience. Design across the full customer journey, including onboarding, core workflows, agent interactions, configuration, collaboration, approvals, exceptions, errors, and ongoing use.
Ensure the product works as a coherent system rather than a collection of individual screens.
Set the quality bar. Hold a high standard for interaction design, visual design, content, information architecture, accessibility, and product coherence.
Review the product continuously and identify weak flows, unclear language, poor defaults, inconsistent behavior, unnecessary complexity, and low-quality details.
Work closely with engineering. Partner directly with engineers throughout implementation, not only at handoff.
Understand technical constraints and possibilities, make thoughtful tradeoffs, and stay engaged through production.
Use coded prototypes and AI-assisted development tools where they improve the speed or fidelity of the work.
Learn from customers and product behavior. Work directly with customers, design partners, domain experts, and internal teams to understand needs and observe how the product is used.
Combine qualitative research, product data, evaluation results, and support signals to improve the experience continuously.
Operate AI-native. Use AI tools as a core part of your daily design workflow. Apply them to research synthesis, concept generation, prototyping, content exploration, design systems, critique, and documentation.
Build reusable workflows and context that increase your own leverage and the effectiveness of the broader product team.
Raise the design bar. Help the team distinguish between functional design and exceptional product design.
Provide clear, constructive critique and help other designers strengthen their product judgment, craft, and AI-native practices.
Contribute to the shared design principles, systems, tools, and operating model of the broader product organization.