Lead Design Researcher

📍 Job Overview

Job Title: Lead Design Researcher

Company: Cisco

Location: San Jose, California, United States

Job Type: Full time

Category: Design Research / User Experience (UX) Operations

Date Posted: May 22, 2026

Experience Level: 8+ years (with Bachelor's), 6+ years (with Master's), 3+ years (with PhD)

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end qualitative and quantitative UX research initiatives, from problem framing and scoping through to analysis and delivery of actionable insights for AI-powered security products.

• Drive product and design strategy by executing rigorous generative and evaluative research at the highest standards within a fast-paced AI product and design team.

• Partner closely with Product Managers to define and track UX metrics and telemetry plans, translating data into compelling narratives that influence product decisions and guide future research efforts.

• Explore and identify opportunities for responsible AI integration into user workflows to enhance security and networking experiences.

• Serve as a role model for AI adoption in work processes, decision-making, and problem-solving, actively using AI tools and automating workflows.

📝 Enhancement Note: This role sits within Cisco's Security Design Research Team but will primarily support the AI Software & Platform team, indicating a strong focus on cutting-edge AI technologies within the cybersecurity domain. The emphasis on "operational efficiency" within the design practice suggests a need for researchers who can not only generate insights but also ensure these insights are actionable and integrated smoothly into product development lifecycles.

📈 Primary Responsibilities

• Spearhead the entire lifecycle of qualitative and quantitative UX research projects, including discovery, planning, participant recruitment, execution, synthesis, and presentation of findings.

• Develop and implement robust research plans that address complex user needs and business objectives for AI-driven security solutions.

• Conduct user interviews, usability testing, surveys, benchmarking studies, concept evaluations, and journey mapping to gather comprehensive user feedback.

• Analyze behavioral product data and user telemetry to identify trends, pain points, and opportunities for product improvement.

• Collaborate extensively with cross-functional teams, including product management, design, and engineering, to ensure research insights are effectively translated into product roadmaps and design iterations.

• Define key UX success metrics and telemetry strategies to measure the impact of design changes and product features.

• Communicate research findings and recommendations clearly and persuasively through compelling presentations and detailed reports to stakeholders at all levels.

• Contribute to the development of a culture of design excellence and operational efficiency within the broader design practice at Cisco.

• Proactively research and advocate for the responsible and ethical integration of AI within user experiences, considering user trust, privacy, and security implications.

📝 Enhancement Note: The responsibility to "Balance research rigor with scrappiness and innovation" highlights the need for a researcher who is adaptable and can deliver high-quality insights efficiently in an agile development environment, common in AI-focused product teams. The explicit mention of "AI integration" and "responsible AI" indicates a forward-thinking research agenda.

🎓 Skills & Qualifications

Education:

• Bachelor's degree with 8+ years of related experience, OR

• Master's degree with 6+ years of related experience, OR

Experience:

• Proven experience leading end-to-end qualitative and quantitative UX research projects within an enterprise environment.

• Demonstrated success in applying a diverse range of research methodologies (e.g., user interviews, usability testing, surveys, benchmarking, concept evaluations, journey mapping, data analysis).

• Experience partnering effectively with product, design, and engineering teams to define and execute research studies.

Required Skills:

• Qualitative Research: Expertise in conducting user interviews, ethnographic studies, contextual inquiries, and focus groups.

• Quantitative Research: Proficiency in designing and analyzing surveys, A/B tests, and analyzing behavioral data.

• UX Research Methodologies: Comprehensive knowledge and practical application of various research techniques for discovery, validation, and iteration.

• AI Integration & Research: Demonstrated experience or strong understanding of researching AI-powered products and user interactions.

• Data Analysis & Synthesis: Ability to analyze complex datasets and synthesize findings into actionable insights.

• Communication & Storytelling: Excellent verbal and written communication skills, with a strong ability to present complex information clearly and persuasively to diverse audiences.

• Problem Framing & Scoping: Skill in defining research questions and objectives that align with business goals and user needs.

• Enterprise Collaboration: Experience working effectively within large, cross-functional enterprise teams.

Preferred Skills:

• Demonstrated success conducting UX research specifically within the field of Artificial Intelligence (AI).

• Active experience incorporating AI into personal work processes, decision-making, or problem-solving, and a willingness to serve as a role model for this practice.

• Strong organizational skills with the ability to manage multiple concurrent projects in a fast-paced, dynamic environment.

• Ability to navigate and bring clarity to ambiguous situations, common in emerging technology areas like AI.

• Experience defining UX success metrics, creating telemetry plans, and analyzing behavioral product data for enterprise applications.

• Experience working in a B2B or B2C large enterprise setting, understanding the nuances of enterprise product development.

📝 Enhancement Note: The "Preferred Qualifications" emphasize a proactive approach to AI, not just researching it, but actively using it. This suggests Cisco is looking for individuals who are forward-thinking and can champion AI's potential within their research practice. The mention of B2B experience is crucial, as Cisco primarily operates in the enterprise space.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 2-3 comprehensive case studies detailing end-to-end research projects, demonstrating your ability to take a project from initial problem framing through to actionable insights and impact.

• Methodological Diversity: Ensure your portfolio highlights experience with a variety of qualitative and quantitative research methods, tailored to enterprise product development.

• Impact & Outcomes: Clearly articulate the impact of your research on product decisions, design iterations, and business outcomes (e.g., improved user satisfaction, increased adoption, reduced support costs). Quantify impact with metrics where possible.

• AI Focus: Include at least one project that demonstrates your experience or thoughtful approach to researching AI-powered features or products, highlighting how you addressed user concerns or opportunities related to AI.

• Collaboration & Communication: Provide examples of how you communicated research findings to diverse stakeholders (product managers, designers, engineers, leadership) and how your insights influenced strategy.

Process Documentation:

• Research Planning: Demonstrate your structured approach to research planning, including scoping, defining objectives, selecting methodologies, and creating detailed research plans.

• Synthesis & Analysis: Showcase your ability to synthesize complex qualitative and quantitative data into clear, concise, and actionable insights, potentially through example synthesis documents or frameworks.

• Insight Delivery: Provide examples of how you have delivered research findings, whether through presentations, reports, workshops, or integrated into product documentation, to drive product and design decisions.

📝 Enhancement Note: Given the role's focus on AI and enterprise solutions, a portfolio should emphasize the researcher's ability to translate complex technical concepts and user behaviors into clear recommendations for product teams. Demonstrating how research directly influenced product strategy and resulted in measurable improvements is paramount.

💵 Compensation & Benefits

Salary Range:

• San Jose, California Metro Area: $168,800.00 - $277,400.00 USD per year.

• New York City Metro Area: $168,800.00 - $277,400.00 USD per year.

• Non-Metro New York State & Washington State: $148,800.00 - $248,200.00 USD per year.

  Note: The provided salary range for San Jose, California, reflects the upper end of the posted ranges for U.S. locations. This range does not include potential incentive compensation, equity, or benefits. Individual compensation will be determined by factors such as hiring location, market conditions, skills, experience, qualifications, and education.

Benefits:

• Health & Wellness: Comprehensive medical, dental, and vision insurance; short-term and long-term disability coverage; basic life insurance.

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

• Work-Life Balance: Paid parental leave, 10 paid holidays per year, 1 floating holiday, 1 paid day off for employee's birthday, paid year-end holiday shutdown, 4 paid personal wellness days.

• Paid Time Off: 16 days of paid vacation time per year for non-exempt employees; flexible vacation time off program for exempt employees (no defined limit, subject to business needs); 80 hours of sick time off annually, with carry-forward up to 80 hours.

• Equity: Eligible to receive grants of Cisco Restricted Stock Units (RSUs).

• Additional Perks: Optional 10 paid days per year for volunteering.

• Performance-Based Compensation: Eligible for annual bonuses (for non-sales roles). For sales roles, performance-based incentive pay is structured with tiered attainment rates and no cap on incentive compensation.

Working Hours:

• Standard full-time work commitment is approximately 40 hours per week. Cisco offers flexible vacation time off for exempt employees, allowing for adaptability in managing work schedules around research commitments and personal needs.

📝 Enhancement Note: The salary range for the San Jose area is substantial, reflecting the seniority of a "Lead" role and the high cost of living in Silicon Valley. The extensive benefits package, particularly the flexible vacation policy for exempt employees and eligibility for RSUs, indicates Cisco's commitment to employee well-being and long-term retention. The detailed explanation of sales compensation is noted but less relevant for this research role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Networking, Cybersecurity, AI Software & Platforms. Cisco is a global leader in enterprise networking and cybersecurity, actively integrating AI to enhance its product offerings and customer experiences.

Company Size: Cisco is a large enterprise, employing over 80,000 people globally. This scale offers opportunities for broad impact, deep specialization, and extensive career development within a well-established organization.

Founded: 1984. With nearly 40 years of innovation, Cisco has a long history of adapting to technological shifts and leading the industry, particularly in networking and cybersecurity.

Team Structure:

• Design Practice: Comprises product designers, researchers, content designers, operations specialists, and design engineers, fostering a collaborative and multidisciplinary environment.

• Security Design Research Team: The primary team for this role, focusing on user needs within Cisco's security product portfolio.

• AI Software & Platform Team: The team this researcher will primarily support, indicating a focus on cutting-edge AI development and integration within security solutions.

• Cross-functional Collaboration: Strong emphasis on working closely with Product Managers, Designers, and Engineers to ensure user-centricity and operational efficiency.

Methodology:

• Human-Centered Design: A core focus on understanding user needs, goals, and contexts to drive impactful design solutions.

• Data-Driven Decision Making: Leveraging both qualitative and quantitative research data to inform product and design strategies.

• Operational Efficiency: A commitment to streamlining processes and ensuring research insights are effectively integrated into product development cycles.

• AI Exploration & Integration: Proactively exploring how AI can enhance user experiences and product capabilities, with a focus on responsible implementation.

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

📝 Enhancement Note: Cisco's long history and its current focus on AI within cybersecurity position this role at the intersection of established enterprise needs and future technological trends. The emphasis on a "vibrant mosaic" of design disciplines suggests a highly collaborative and innovative work environment.

📈 Career & Growth Analysis

Operations Career Level: This is a "Lead" position, indicating a senior-level role with significant autonomy and responsibility. It requires strategic thinking, the ability to mentor junior team members (though not explicitly stated, implied by "Lead"), and a deep understanding of research methodologies and their application in enterprise product development. The role is expected to influence product strategy and drive user-centric innovation.

Reporting Structure: While not explicitly detailed, a Lead Design Researcher typically reports to a Design Research Manager, Director, or potentially a VP of Design/UX. They will work closely with product leadership (Product Managers) and design leadership. The primary focus will be supporting the AI Software & Platform team, suggesting close alignment with that product group's leadership.

Operations Impact: The role's impact is substantial, directly influencing the direction and success of Cisco's AI-powered security products. By ensuring a deep understanding of user needs and integrating AI responsibly, this researcher will contribute to the effectiveness, usability, and market adoption of critical security solutions. This impacts customer satisfaction, competitive positioning, and ultimately, Cisco's revenue and market share in the evolving cybersecurity landscape.

Growth Opportunities:

• Specialization: Deepen expertise in AI research, cybersecurity user needs, or advanced mixed-methods research.

• Leadership: Potential to move into management roles, lead larger research initiatives, or become a recognized subject matter expert within Cisco.

• Cross-functional Influence: Expand influence across multiple product teams or business units, shaping broader design and research strategies.

• Mentorship: Guide and mentor junior researchers, contributing to the growth of the design practice.

• Industry Contribution: Present findings at conferences, publish research, and contribute to the broader UX research and AI ethics communities.

📝 Enhancement Note: The "Lead" title signifies a transition from individual contributor to a strategic influencer. Candidates should be prepared to discuss how they've guided research direction, influenced product strategy, and potentially mentored others. The emphasis on AI integration suggests a growth path into researching more complex and emerging technologies.

🌐 Work Environment

Office Type: On-site at Cisco's San Jose, California headquarters. This implies a traditional office setting designed for in-person collaboration.

Office Location(s): San Jose, California, USA. This location is central to Silicon Valley, offering access to a rich tech ecosystem and talent pool.

Workspace Context:

• Collaborative Environment: Cisco's design practice emphasizes collaboration, suggesting an open-plan office or team spaces conducive to interaction. The role requires close partnership with product, design, and engineering teams, necessitating easy communication and co-location.

• Tools & Technology: Access to standard enterprise software, communication tools, and potentially specialized research software and hardware. The role's preferred qualifications suggest an environment where AI tools are readily available and encouraged for use.

• Team Interaction: Frequent opportunities for informal and formal interactions with fellow researchers, designers, product managers, and engineers, fostering knowledge sharing and rapid problem-solving.

Work Schedule:

• The standard work schedule is approximately 40 hours per week. While on-site, Cisco offers flexibility for exempt employees regarding vacation time, allowing for a balance between in-office collaboration and personal needs. The fast-paced nature of AI product development may occasionally require adapting schedules to meet project deadlines.

📝 Enhancement Note: While the role is on-site, the mention of flexible vacation time for exempt employees suggests that Cisco values work-life balance. The San Jose location places the researcher in the heart of Silicon Valley's innovation hub.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Recruiter or hiring manager screens applications and resumes, focusing on experience, qualifications, and alignment with the role's core responsibilities.

• Portfolio Review: Candidates will likely present their portfolio to showcase their research expertise, methodological approach, and impact. This is a critical step for a research role.

• Hiring Manager Interview: In-depth discussion about research experience, leadership capabilities, strategic thinking, and alignment with the team's goals.

• Team/Peer Interviews: Interviews with other researchers, designers, and potentially product managers to assess collaboration style, technical depth, and cultural fit.

• Presentation/Case Study: A potential exercise where candidates are given a problem or data set to analyze and present findings, simulating a real-world research task.

• Final Interview: May involve senior leadership to discuss overall fit and strategic alignment.

Portfolio Review Tips:

• Structure: Organize your portfolio logically, perhaps by project type or impact. Clearly label each project with its objective, your role, methodologies used, key findings, and outcomes.

• Storytelling: For each case study, tell a compelling story: What was the problem? How did you approach it? What did you learn? How did it make a difference?

• Visuals: Use visuals (e.g., personas, journey maps, key data charts) to illustrate your points, but ensure they support your narrative and aren't just decorative.

• Quantify Impact: Whenever possible, quantify the impact of your research using metrics. For example, "Research led to a 15% improvement in task completion time" or "Insights informed a feature redesign that increased user engagement by 20%."

• AI Focus: Highlight specific examples of how you've approached AI-related research, demonstrating your understanding of its unique challenges and opportunities.

• Conciseness: Be prepared to present your most impactful work concisely, focusing on the most relevant projects for this specific role.

Challenge Preparation:

• Research Design: Be ready to discuss how you would approach a research problem for a new AI security feature, including defining objectives, target users, and methodologies.

• Data Synthesis: Prepare to discuss how you would synthesize mixed-method data to derive actionable insights.

• Stakeholder Communication: Practice articulating complex research findings to non-researchers (e.g., product managers, engineers) in a clear and persuasive manner.

• AI Ethics & Responsibility: Consider how you would research AI features with a focus on user trust, fairness, and responsible implementation.

📝 Enhancement Note: The emphasis on a portfolio and presentation suggests that demonstrating practical research skills and the ability to communicate findings effectively is as important as the years of experience. Candidates should tailor their portfolio to showcase AI research experience and strategic impact.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Tools: Platforms for remote usability testing, user interviews, and session recording (e.g., UserTesting.com, Lookback, Zoom, Microsoft Teams).

• Quantitative Research Tools: Survey platforms (e.g., Qualtrics, SurveyMonkey, Google Forms), A/B testing platforms (e.g., Optimizely, Adobe Target), and potentially analytics tools for survey data analysis.

• Data Analysis & Synthesis Tools: Spreadsheet software (Excel, Google Sheets), statistical software (SPSS, R, Python with libraries like Pandas, NumPy), and qualitative data analysis software (e.g., NVivo, Dovetail, ATLAS.ti).

• Collaboration & Communication Tools: Project management software (e.g., Jira, Asana, Trello), documentation tools (e.g., Confluence, Google Workspace), and communication platforms (e.g., Slack, Microsoft Teams).

Analytics & Reporting:

• Web/Product Analytics: Tools like Google Analytics, Adobe Analytics, Mixpanel, or Amplitude for tracking user behavior and product usage.

• Telemetry Systems: Understanding and potentially working with internal telemetry systems to capture user interaction data.

• Visualization Tools: Tools like Tableau, Power BI, or Looker for creating dashboards and visualizing data trends.

CRM & Automation:

• While not the primary focus, familiarity with CRM systems (like Salesforce) and marketing automation platforms can be beneficial for understanding B2B customer journeys and data flow. Understanding how research insights can feed into CRM data or trigger automated workflows would be a plus.

📝 Enhancement Note: The role requires proficiency in a broad range of research tools. Given the focus on AI and enterprise solutions, experience with tools that can handle complex data sets and support robust analytics will be highly valued. The mention of "automating workflows" implies an interest in researchers who can leverage technology to improve their own efficiency.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user in all product development decisions.

• Data-Driven: Relying on evidence from research to guide strategy and measure success.

• Collaboration: Working effectively across disciplines and teams to achieve common goals.

• Innovation: Embracing new ideas and technologies, like AI, to solve complex problems and create impactful experiences.

• Operational Excellence: Striving for efficiency in research processes and ensuring timely delivery of actionable insights.

• Integrity & Responsibility: Particularly relevant for AI research, ensuring ethical considerations, privacy, and security are paramount.

Collaboration Style:

• Cross-functional Integration: Actively partnering with Product Management, Design, and Engineering to co-create solutions and ensure research is embedded throughout the product lifecycle.

• Open Communication: Encouraging transparent feedback and knowledge sharing within the design practice and with partner teams.

• Proactive Engagement: Engaging stakeholders early and often to ensure research efforts are aligned with business needs and to facilitate buy-in for recommendations.

• Mentorship & Knowledge Sharing: A culture that supports learning from each other, with senior members like the Lead Researcher potentially guiding more junior colleagues.

📝 Enhancement Note: The emphasis on "operational efficiency" within the design practice suggests a culture that values not just great design and research, but also the systematic processes required to deliver them effectively in a large organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Development: Keeping up with the rapid advancements in AI technology and understanding its implications for user experiences and security.

• Complexity of Enterprise Security: Researching complex security needs for large organizations, which often involve intricate workflows and high stakes.

• Balancing Rigor and Agility: Delivering high-quality, deeply insightful research while operating within fast-paced product development cycles.

• Defining and Measuring AI Impact: Developing effective methods to research and measure the usability, effectiveness, and user trust of AI-powered features.

• Ethical AI Research: Navigating the ethical considerations of AI, including data privacy, bias, and transparency, within research practices.

Learning & Development Opportunities:

• AI & ML Specialization: Opportunities to deepen knowledge in AI/ML concepts and their application in UX research.

• Cybersecurity Domain Expertise: Gaining in-depth understanding of the cybersecurity landscape and the specific challenges faced by Cisco's customers.

• Advanced Research Methods: Training and application of cutting-edge research techniques for complex problem spaces.

• Leadership Development: Opportunities to hone leadership skills, mentor junior researchers, and influence strategic direction.

• Industry Engagement: Attending conferences, workshops, and potentially contributing to industry publications or standards related to AI and UX research.

📝 Enhancement Note: The challenges presented are inherent to working with advanced technologies like AI in a critical domain like cybersecurity. Cisco's commitment to learning and development offers a path for individuals to not only navigate these challenges but also to grow as experts in the field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise product you researched. What was the core problem, how did you approach it, and what was the ultimate impact of your research?" (Focus on problem framing, methodology, and outcome).

• "How would you approach researching a new AI feature designed to proactively detect security threats? What are the key user concerns you'd anticipate?" (Tests AI research acumen and understanding of security domain).

Company & Culture Questions:

• "Why are you interested in the AI Software & Platform team at Cisco, and what excites you about our approach to cybersecurity?" (Shows research into Cisco and alignment with the specific team's mission).

• "How do you embody or promote 'operational efficiency' within your research practice?" (Connects to the stated company culture and team focus).

Portfolio Presentation Strategy:

• Selectivity: Choose 2-3 projects that best showcase your end-to-end research leadership, AI experience, and impact relevant to enterprise security.

• Narrative Arc: For each project, clearly articulate the business context, research objectives, your specific role and methods, key insights, and the resulting design or product changes, quantifying impact where possible.

• Demonstrate AI Thinking: If possible, highlight a project where you researched AI features, focusing on user trust, understanding, or integration into workflows.

• Engagement: Be prepared for questions about your process, rationale, and how you'd adapt your approach to Cisco's specific challenges. Practice your delivery to be clear, concise, and engaging.

📝 Enhancement Note: Interviewers will be looking for a blend of deep research expertise, strategic thinking, leadership potential, and a genuine interest in AI and cybersecurity. Demonstrating how your past work aligns with Cisco's values and the specific needs of the AI Software & Platform team will be crucial.

📌 Application Steps

To apply for this Lead Design Researcher position:

• Submit your application through the official Cisco Careers portal using the provided URL.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience in leading end-to-end UX research, your proficiency in both qualitative and quantitative methods, and any specific experience with AI or enterprise security products.

• Resume Optimization: Ensure your resume clearly outlines your experience level (e.g., "8+ years with B.S."), specific research methodologies used, and quantifiable achievements demonstrating research impact. Use keywords from the job description naturally.

• Company Research: Familiarize yourself with Cisco's mission, its cybersecurity product suite, and its current initiatives in AI. Understand their approach to design and user experience.

• Prepare for Portfolio Presentation: Anticipate presenting 2-3 key research projects. Practice articulating your process, insights, and impact clearly and concisely, focusing on how your work drives product decisions and business outcomes.

⚠️ 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.