Lead Product Designer, AI and Intelligence

📍 Job Overview

Job Title: Lead Product Designer, AI and Intelligence

Company: Cisco

Location: Denver, Colorado, United States

Job Type: Full-time

Category: Product Design / AI & Intelligence Design

Date Posted: 2026-08-06

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Lead the strategic design and execution of AI-powered and intelligence-driven product experiences within Cisco Networking's platform.

• Drive customer outcomes by translating complex AI opportunities into intuitive user interfaces, actionable insights, and automated workflows.

• Define and implement reusable design patterns for AI interactions, focusing on user trust, control, transparency, and feedback mechanisms.

• Collaborate closely with cross-functional product, engineering, and data science teams to ensure technical feasibility and impactful user experiences.

• Champion best practices in AI experience design, mentorship, and the integration of AI tools within the design process.

📝 Enhancement Note: This role is positioned as a lead individual contributor within Cisco's platform team, focusing specifically on the burgeoning field of AI and intelligence in networking solutions. The emphasis on "AI-first interactions," "agentic workflows," and "predictive insights" indicates a forward-thinking product strategy. The requirement for shipped AI/ML products and experience in defining reusable UX patterns for AI is critical for candidates.

📈 Primary Responsibilities

• Spearhead the design process for AI-enabled features and intelligence experiences across Cisco Networking's product portfolio, from initial concept exploration through to successful product launch and ongoing iteration.

• Transform abstract AI capabilities and business objectives into concrete product concepts, detailed user flows, interactive prototypes, and fully realized, shipped customer-facing features.

• Craft AI-first interaction models that effectively surface critical information, adapt dynamically to user context, guide complex decision-making processes, automate routine tasks, and empower users with a strong sense of control.

• Cultivate and maintain a deep, up-to-date understanding of AI and Machine Learning technologies, including their underlying mechanisms, evolving capabilities, and practical applications within the networking domain.

• Translate high-level user needs and business goals into detailed data models, essential telemetry requirements for model training and performance monitoring, and clear design directives for engineering and data science teams.

• Foster strong partnerships with cross-functional teams across the Networking division to ensure that advanced technical capabilities are translated into practical, valuable, and adoptable solutions for customers.

• Design adaptive and context-aware user experiences tailored to diverse personas, specific user behaviors, unique workflows, and varying customer requirements.

• Establish and document a comprehensive library of reusable UX patterns and design guidelines specifically for AI-driven features, covering areas such as explanation generation, user control mechanisms, review and correction workflows, feedback loops, and advanced automation sequences.

• Actively participate in and promote the adoption of faster design methodologies, leveraging AI tools and design thinking principles to enhance team collaboration, accelerate prototyping cycles, and improve decision-making efficiency.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design leadership and hands-on execution. The emphasis on "turning ambiguous AI opportunities into clear product concepts" and "defining reusable UX patterns for AI explanations, user control, review, correction, feedback, and advanced workflows" points to a need for a designer who can both innovate and standardize AI-driven user experiences.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field is often preferred for advanced design roles. Equivalent practical experience is highly valued.

Experience: Minimum of 10 years of progressive experience in product design, with a proven track record of leading complex, enterprise-level, or platform-centric products from initial strategy and concept development through to successful delivery and post-launch iteration.

Required Skills:

• Portfolio: A robust online portfolio showcasing shipped AI-powered, Machine Learning-enabled, or data-intensive product experiences that clearly demonstrate customer value, tangible outcomes, and a high degree of design craft.

• Enterprise Product Design Leadership: Proven ability to lead complex product design initiatives for enterprise-level software, platform products, or technical solutions, guiding them from strategic conception to final delivery.

• AI/ML Product Design: Extensive production experience designing products and workflows that leverage AI and ML, with a strong understanding of critical aspects such as building user trust, enabling user control, implementing personalization, managing review and feedback loops, driving adoption, and gracefully handling failure states.

• Core UX/UI Expertise: Exceptional skills in interaction design, visual craft, systems thinking, and data visualization, applied to complex workflows and decision-support systems.

• Technical Fluency & Collaboration: Ability to effectively communicate and collaborate with technical stakeholders, including AI, data, platform, and engineering partners. Experience in aligning diverse teams through user research, rapid prototyping, effective use of AI design tools, Lean UX methodologies, and a focus on measurable outcomes.

• Mentorship & Craft Elevation: Demonstrated experience in mentoring junior designers, raising the overall quality of design craft within a team, and leveraging AI tools to enhance exploration, prototyping, testing, communication, and collaborative processes.

Preferred Skills:

• Experience with networking technologies and their associated user experience challenges.

• Familiarity with agentic workflows and predictive analytics design.

• Experience designing for cloud-based platforms and distributed systems.

• Proficiency with advanced prototyping tools and techniques.

• Understanding of data modeling principles relevant to AI/ML training and inference.

📝 Enhancement Note: The "10+ years" experience level, coupled with the specific requirement for "shipped AI-powered, ML-enabled, or data-intensive product experiences," clearly indicates this is a senior, lead-level position. The emphasis on "technical fluency with AI, data, platform, and engineering partners" suggests the need for a designer who can operate effectively in a highly technical environment and bridge the gap between user needs and complex technology.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Shipped AI/ML Products: Showcase at least 2-3 significant projects where you led the design of AI-powered or ML-enabled products/features. Clearly articulate the problem, your design process, the AI/ML components involved, and the resulting customer impact and business outcomes.

• Complex Enterprise/Platform Experience: Include examples that demonstrate your ability to design for complex enterprise environments or platform-level solutions, highlighting systems thinking and the integration of multiple components.

• Data Visualization & Insights: Provide examples of how you've effectively visualized complex data or designed interfaces that deliver actionable insights, particularly within the context of AI-driven recommendations or predictive analytics.

• User Control & Trust in AI: Feature projects that specifically address how you designed for user trust, control, and transparency in AI systems, including mechanisms for review, feedback, and correction.

• Process Documentation: Briefly outline your design process for at least one key AI/ML project, demonstrating your approach to research, ideation, prototyping, user testing, and collaboration with technical teams.

Process Documentation:

• AI Design Methodology: Be prepared to discuss your specific methodology for designing AI-first or ML-enabled user experiences. This should cover how you approach understanding AI capabilities, defining user problems, translating requirements into design, and iterating based on AI model performance and user feedback.

• Cross-functional Collaboration: Detail how you collaborate with product managers, data scientists, and engineers throughout the product development lifecycle, especially when working with AI/ML technologies.

• Prototyping & Testing: Explain your approach to prototyping and testing AI-driven features, including how you validate AI behaviors, gather user feedback on AI interactions, and use AI tools to accelerate your design process.

• Metrics & Outcomes: For each portfolio project, clearly define the key metrics used to measure success and demonstrate the tangible business or user outcomes achieved through your design contributions.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing shipped AI/ML products and the ability to demonstrate user trust and control in AI systems. Candidates must be prepared to articulate their process for designing with AI and how they collaborate with technical teams, with a strong focus on measurable outcomes.

💵 Compensation & Benefits

Salary Range: The provided starting salary range for this position in the U.S. and/or Canada is $169,300 to $237,200 USD per year. Cisco also provides specific salary ranges for certain high-cost-of-living areas:

• New York City Metro Area:

$194,600 - $328,600 USD per year

• Non-Metro New York state & Washington state:

$179,000 - $294,000 USD per year

This range reflects base salary and may not include incentive compensation, equity, or benefits. Actual compensation will be determined by factors such as hiring location, market conditions, candidate's skills, experience, qualifications, education, certifications, and training.

Benefits:

• Comprehensive health coverage: Medical, dental, and vision insurance.

• Retirement savings: 401(k) plan with a Cisco matching contribution.

• Work-life balance support: Paid parental leave, short-term and long-term disability coverage.

• Financial security: Basic life insurance, potential for Restricted Stock Units (RSUs) that vest over time.

• Paid Time Off:

  • 10 paid holidays per year + 1 floating holiday (for non-exempt).
  • 1 paid day for employee's birthday.
  • Paid year-end holiday shutdown.
  • 4 paid days for personal wellness.
  • Vacation time: 16 days for non-exempt employees (accrued); flexible/unlimited for exempt employees.
  • Sick time: 80 hours provided annually, with carry-forward options.
  • Additional paid time off for family emergencies.
  • Up to 10 paid days per year for volunteering.

• Bonus Eligibility: Eligible for annual bonuses (for non-sales roles), subject to Cisco policies.

• Sales Incentive Compensation: For sales roles, performance-based incentive pay on top of base salary, with detailed structures for quota attainment and strategic objectives.

Working Hours: The standard workweek is 40 hours. Exempt employees generally operate under Cisco's flexible vacation time off program, implying a degree of autonomy in managing work schedules, while non-exempt employees have defined accrual rates for vacation and sick time.

📝 Enhancement Note: Cisco offers a robust compensation and benefits package, including a competitive base salary range, equity potential, and a comprehensive suite of benefits designed for employee well-being and financial security. The detailed PTO policy, especially the flexible vacation for exempt employees, suggests a culture that values autonomy. The salary ranges provided are specific and include high-cost-of-living adjustments.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Networking / Software / AI & Intelligence. Cisco Networking is a leader in providing intelligent network solutions that secure connections for users, devices, applications, and workloads across diverse organizations, from small businesses to large enterprises.

Company Size: Cisco is a large, established technology corporation, employing thousands of individuals globally. This scale offers stability, extensive resources, and opportunities for broad impact.

Founded: Cisco was founded in 1984, bringing a rich history of innovation and market leadership to its current operations. This longevity suggests a stable yet evolving company culture focused on continuous adaptation and technological advancement.

Team Structure:

• Platform Team Focus: This role is part of the Cisco Networking platform team, implying a focus on foundational capabilities and shared experiences that benefit multiple products and services.

• Cross-functional Collaboration: Designers work closely with product managers, engineering teams (including AI/ML specialists), data scientists, and user researchers. Collaboration is key to translating complex technical capabilities into user-friendly experiences.

• Individual Contributor Leadership: While an individual contributor, the "Lead" title signifies a high level of autonomy, strategic influence, and responsibility for driving design direction within their domain. Mentorship of other designers is also a key aspect.

Methodology:

• AI-Driven Design: The team leverages AI and ML to enhance network intelligence, automation, and predictive insights, shaping the user experience around these capabilities.

• Lean UX & Agile Practices: The mention of "faster design methods" and "AI tools to improve collaboration, prototyping, and decision-making" suggests an agile and iterative approach to product development, likely incorporating Lean UX principles.

• Data-Informed Decisions: User research, telemetry data, and outcome measurement are crucial for informing design decisions and iterating on AI-powered features.

Company Website: https://careers.cisco.com/global/en

📝 Enhancement Note: Cisco's culture is characterized by innovation, a strong focus on technology (especially in the AI era), and a commitment to employee growth and collaboration. The platform team structure suggests a focus on scalable and reusable design solutions, while the emphasis on AI and intelligence highlights Cisco's strategic direction.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a "Lead Product Designer," representing a senior individual contributor position. It demands significant strategic thinking, deep expertise in AI/ML product design, and the ability to influence product direction and mentor other designers. The scope extends across multiple products and platforms within Cisco Networking.

Reporting Structure: As an individual contributor, the designer will likely report to a Design Manager or Director within the Cisco Networking organization. They will collaborate extensively with Product Management, Engineering leads, and Data Science teams.

Operations Impact: The Lead Product Designer's work directly impacts how customers understand, manage, and automate their networks using AI and intelligence. Successful designs will drive customer adoption, enhance network efficiency, improve security posture, and ultimately contribute to Cisco's market leadership and revenue growth by delivering superior, intelligent solutions.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML experience design, agentic workflows, and predictive analytics, becoming a go-to expert within Cisco.

• Leadership Development: Transition into a management role, leading a team of designers, or continue as a principal/distinguished designer, taking on larger strategic initiatives and broader technical leadership.

• Cross-functional Mobility: Gain exposure to various facets of Cisco's technology stack and business units, potentially leading to opportunities in other product areas or strategic initiatives.

• Industry Influence: Contribute to shaping the future of AI in networking through thought leadership, speaking engagements, and contributing to industry best practices.

📝 Enhancement Note: The "Lead" designation signifies a critical juncture in a designer's career, moving beyond execution to strategic influence and mentorship. Growth opportunities are geared towards deepening AI design expertise or moving into management, aligning with Cisco's commitment to employee development within specialized tech domains.

🌐 Work Environment

Office Type: The role is specified as "On-site," indicating a traditional office-based work environment. This suggests a collaborative setting where in-person interaction with colleagues is expected.

Office Location(s): Denver, Colorado. This location will likely offer a modern office space designed to foster collaboration and innovation. Cisco typically provides well-equipped workspaces with access to necessary technology.

Workspace Context:

• Collaborative Spaces: Expect an environment with meeting rooms, open collaboration areas, and potentially dedicated project spaces to facilitate teamwork with product, engineering, and fellow designers.

• Technology & Tools: Access to high-performance workstations, design software, prototyping tools, and potentially internal AI design tools and platforms will be standard.

• Team Interaction: Regular opportunities for face-to-face interaction, brainstorming sessions, design reviews, and informal knowledge sharing with immediate team members and cross-functional partners.

Work Schedule: The standard workweek is 40 hours. As an exempt employee, there is likely flexibility in managing daily work hours, provided that responsibilities are met and collaboration needs are accommodated. The focus is on delivering results rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The on-site requirement in Denver suggests an emphasis on in-person collaboration and team integration, which can be beneficial for complex, multi-disciplinary projects like AI product development. The environment is expected to be well-resourced and conducive to innovation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or a recruiter will review applications, with a strong emphasis on the portfolio link. Applications without portfolios will likely not be considered.

• Portfolio Review & Design Challenge: A design leader or senior designer will review the portfolio to assess experience, craft, and relevant AI/ML product design skills. This may be followed by a design challenge or a deep dive into portfolio case studies.

• Cross-functional Interviews: Interviews with Product Management, Engineering, and Data Science stakeholders to assess collaboration skills, technical understanding, and strategic thinking.

• Team/Culture Fit Interview: Discussion with potential peers and design leadership to evaluate cultural alignment, communication style, and mentorship capabilities.

• Final Round: Typically involves senior leadership to confirm fit and make a final decision.

Portfolio Review Tips:

• Curate for AI/ML Impact: Select projects that best demonstrate your experience designing AI-powered features, emphasizing customer value, technical complexity, and measurable outcomes.

• Showcase Process & Rationale: For each project, clearly articulate your design process, the rationale behind your decisions (especially regarding AI interactions, control, and trust), and how you collaborated with technical teams.

• Highlight Shipped Products: Prioritize examples of products that have been successfully launched. Quantify impact with data and metrics wherever possible.

• Address Trust & Control: Explicitly demonstrate how you designed for user trust, transparency, and control in AI/ML systems.

• Concise Storytelling: Present your case studies clearly and concisely, focusing on your specific contributions and the impact you made.

Challenge Preparation:

• AI Design Scenarios: Be prepared for hypothetical design challenges related to AI in networking, such as designing an intelligent alert system, an automated network configuration tool, or a predictive maintenance dashboard.

• Process & Strategy Articulation: Practice articulating your design process, strategic thinking, and how you would approach ambiguous problems, especially those involving AI and complex data.

• Collaboration Scenarios: Prepare to discuss how you would collaborate with engineers and data scientists on AI projects, including how you gather requirements, provide feedback, and ensure user needs are met.

📝 Enhancement Note: The application process heavily emphasizes the portfolio. Candidates must be strategic in curating their portfolio to highlight AI/ML experience and demonstrate a clear understanding of designing for trust and control in intelligent systems. The interview process will likely involve deep dives into specific projects and hypothetical AI design challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP, or similar industry-standard tools for wireframing, UI design, and interactive prototyping.

• AI Design Tools: Familiarity with emerging AI tools for design assistance, content generation, or rapid prototyping (e.g., tools that leverage generative AI).

• Collaboration Platforms: Jira, Confluence, Slack, Microsoft Teams for project management, documentation, and team communication.

Analytics & Reporting:

• Data Visualization Tools: Tableau, Power BI, or similar for understanding user behavior data and presenting insights.

• Analytics Platforms: Google Analytics, Mixpanel, Amplitude, or internal Cisco analytics tools for tracking user engagement and feature adoption.

• Telemetry & Data Modeling: Understanding how user interaction telemetry is collected and used to train AI models and measure product performance.

CRM & Automation:

• While not a direct CRM role, understanding how design impacts user journeys within a CRM context might be beneficial.

• Workflow Automation Tools: Familiarity with concepts of workflow automation as applied to network management and user processes.

📝 Enhancement Note: Proficiency in industry-standard design and prototyping tools is a given. The key differentiator will be demonstrated experience or a strong understanding of how to leverage AI tools within the design process and how to interpret data and telemetry for AI-driven product development.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A deep commitment to understanding and solving customer problems, particularly in the complex domain of network management.

• Innovation & Fearless Experimentation: Encouraging new ideas, exploring novel AI applications, and being willing to experiment with new design approaches and technologies.

• Collaboration & Empathy: Working effectively across diverse teams, fostering an environment of mutual respect, and understanding different perspectives.

• Impact & Ownership: Taking responsibility for driving meaningful outcomes, focusing on delivering tangible value to customers and the business.

• Data-Driven Approach: Utilizing data, research, and metrics to inform design decisions and measure the success of AI-driven features.

• Efficiency & Automation: A drive to streamline processes and leverage automation (both in product and in design workflows) to improve productivity.

Collaboration Style:

• Cross-functional Partnership: A highly collaborative style, working seamlessly with Product Management, Engineering, Data Science, and Research teams to co-create solutions.

• Open Feedback Culture: Encouraging constructive feedback on designs and processes, with an emphasis on continuous improvement.

• Knowledge Sharing: Actively sharing insights, best practices, and learnings, particularly in the rapidly evolving field of AI/ML design.

📝 Enhancement Note: Cisco's stated values, such as "innovation," "collaboration," and "impact," are directly reflected in the expectations for this Lead Product Designer role. The emphasis on a "data-driven approach" and "efficiency & automation" aligns perfectly with the nature of AI and operations-focused roles.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI & Networking: Designing intuitive experiences for highly complex technical domains like AI-powered networking requires deep domain understanding and exceptional simplification skills.

• Balancing Innovation with Trust: Ensuring that AI-driven features are not only powerful but also trustworthy, transparent, and controllable for users is a significant design challenge.

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI technology and integrating them effectively into product roadmaps.

• Cross-functional Alignment: Achieving consensus and alignment across diverse teams (product, engineering, data science) with potentially different priorities and technical perspectives.

• Defining Reusable AI Patterns: Establishing robust, scalable, and adaptable design patterns for AI interactions that can be applied consistently across a broad product portfolio.

Learning & Development Opportunities:

• AI/ML Specialization: Access to internal training, conferences, and resources to deepen expertise in AI/ML design principles, ethical AI, and specific AI technologies relevant to networking.

• Leadership Skills: Opportunities to hone mentorship abilities, lead design initiatives, and develop strategic thinking through project leadership.

• Industry Exposure: Engaging with cutting-edge technologies and contributing to Cisco's position at the forefront of AI in networking.

• Mentorship Programs: Potential to be mentored by senior design leaders or to mentor junior designers, fostering professional growth.

📝 Enhancement Note: The challenges presented are inherent to pioneering work in AI and complex enterprise software. Cisco's commitment to learning and development, coupled with the nature of the role, provides significant opportunities for growth in specialized AI design and leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you turned an ambiguous AI opportunity into a clear product concept. What was your process, and what were the outcomes?" (Focus on strategic thinking, user problem definition, and AI application.)

• "How do you approach building user trust and providing control in AI-powered systems? Walk us through an example from your portfolio." (Demonstrate understanding of AI ethics, transparency, and user agency.)

• "Imagine you need to design an automated workflow for network anomaly detection. What are the key user considerations, potential AI capabilities, and how would you approach the design process?" (Assess problem-solving skills, AI application knowledge, and process articulation.) Company & Culture Questions:

• "How do you see AI transforming the future of network management, and how would your design approach support Cisco's vision in this area?" (Showcase understanding of the industry and alignment with Cisco's strategy.)

• "Describe your experience mentoring designers. How do you foster growth and elevate design craft within a team?" (Evaluate leadership potential and collaborative spirit.)

• "How do you ensure your designs are technically feasible and align with engineering capabilities, especially when working with complex AI/ML models?" (Assess collaboration skills and technical fluency.) Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly outline the problem, your role/contributions, the design process, key decisions (especially AI-related), challenges faced, and measurable outcomes.

• Quantify Results: Use data and metrics to demonstrate the impact of your designs. For AI features, this might include adoption rates, efficiency gains, error reduction, or improved decision-making accuracy.

• Focus on AI Specifics: Highlight how you addressed AI-specific design challenges like explainability, user control, feedback loops, and trust.

• Engage Your Audience: Be prepared to discuss your work in detail, answer challenging questions, and demonstrate enthusiasm for the role and Cisco's mission.

📝 Enhancement Note: Interview preparation should strongly focus on articulating AI design principles, demonstrating experience with shipped AI/ML products, and showcasing the ability to collaborate effectively in a technical environment. The portfolio presentation is paramount and should be tailored to highlight relevant AI/ML experience.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit Your Application: Apply directly through the Cisco Careers portal using the provided link. Ensure your application is complete and submitted before the closing date.

• Portfolio Customization: Tailor your resume and cover letter (if applicable) to highlight your 10+ years of experience, specifically emphasizing your work on AI-powered, ML-enabled, or data-intensive product experiences.

• Portfolio Curation & Walkthrough: Prepare your online portfolio to prominently feature your most relevant projects. Be ready to walk through 2-3 key case studies during interviews, focusing on your process, AI-specific design decisions, and measurable impact.

• Company Research: Thoroughly research Cisco Networking's current AI initiatives, product offerings, and company values. Understand their market position and how your design expertise can contribute to their strategic goals.

• Practice Articulation: Rehearse your responses to common interview questions, particularly those related to AI design strategy, user trust in AI, cross-functional collaboration, and your leadership/mentorship experience.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.