AI Native Product Designer - Products

We are building a new portfolio of agentic software products in industries where we have decades of transformation experience. Starting with deep industry expertise, trusted relationships with many of the world’s largest organizations, and direct access to complex workflows, we build closely with customers while creating repeatable products for broad market adoption. Small, highly capable product teams—bringing together product management, design, and engineering—operate with autonomy to move quickly, make decisions, and own outcomes from prototype to production and scale.

This is a permanent product design role within one of these teams. It is not a consulting, service, strategy, research-only, or forward-deployed role.

About the role

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 thrive in ambiguity, develop clear points of view, and collaborate with product and engineering to create useful, intuitive, trustworthy, and well-crafted products.

You understand that AI-native products require more than a conversational interface on existing workflows. You design systems that reason, act, use tools, manage uncertainty, explain themselves, recover from failure, and involve people at the right moments. You also use AI tools to accelerate research, synthesis, concept development, prototyping, content design, design exploration, and critique while maintaining ownership 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 operates.

Responsibilities

• Shape the product from the beginning: work with product managers and engineers from early discovery to define the customer problem, product thesis, and experience strategy. Help decide what to build, not just how it should look.
• Turn ambiguity into clear concepts, flows, prototypes, and product direction.
• Design AI-native experiences: define interactions with agents, models, tools, and automated workflows. Design for intent, delegation, oversight, uncertainty, transparency, correction, escalation, and control. Create experiences that help users understand system actions, trust levels, and intervention needs.
• Simplify complex workflows: develop deep understanding of users, industry processes, data, constraints, and business goals. Reduce complicated enterprise workflows into coherent, intuitive, and purposeful experiences while preserving controls for expert users.
• Prototype to learn: create prototypes early and often to explore ideas, test interaction models, and learn directly from customers and design partners. Use working prototypes over static presentations, moving 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, not a collection of individual screens.
• Set the quality bar: uphold high standards for interaction design, visual design, content, information architecture, accessibility, and product coherence. Continuously review the product to 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 just 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 speed or fidelity.
• Learn from customers and product behavior: work directly with customers, design partners, domain experts, and internal teams to understand needs and observe product usage. Combine qualitative research, product data, evaluation results, and support signals to continuously improve the experience.
• Operate AI-native: use AI tools as a core part of your daily design workflow for research synthesis, concept generation, prototyping, content exploration, design systems, critique, and documentation. Build reusable workflows and context to increase leverage for yourself and the broader product team.
• Raise the design bar: help the team distinguish between functional and exceptional product design. Provide clear, constructive critique and help other designers strengthen their product judgment, craft, and AI-native practices. Contribute to shared design principles, systems, tools, and the operating model of the broader product organization.

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 incorporating generative AI into day-to-day product usage.
• Minimum 2 years of experience designing products leveraging 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 for 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 showcasing 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.

Location

This is a hybrid role based in Seattle, Mountain View, San Francisco, San Jose, or New York. Team members are expected to work regularly with their local product team in person. The role may involve periodic travel to meet with customers, design partners, or other product teams. It is not a client-staffing or full-time travel role.

Pay

Compensation varies based on location, role, skill set, and experience. The following ranges are provided as required by local law:

• California: $163,000 to $434,000
• Cleveland: $150,900 to $347,200
• Colorado: $163,000 to $375,000
• District of Columbia: $173,500 to $399,300
• Illinois: $150,900 to $375,000
• Maine: $138,800 to $319,400
• Maryland: $163,000 to $375,000
• Massachusetts: $163,000 to $399,300
• Minnesota: $163,000 to $375,000
• New York: $150,900 to $434,000
• New Jersey: $173,500 to $434,000
• Virginia: $150,900 to $399,300
• Washington: $173,500 to $399,300

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays and paid time off

For more details, visit U.S. Employee Benefits | Accenture.