Sr. Staff UX Researcher, AI Control Tower

📍 Job Overview

Job Title: Sr. Staff UX Researcher, AI Control Tower

Company: ServiceNow

Location: Santa Clara, California, United States

Job Type: Full-time

Category: User Experience Research / AI Product Development

Date Posted: September 09, 2026

Experience Level: 10+ Years

Remote Status: Remote OK (Flexible or Remote Work Persona)

🚀 Role Summary

• Lead complex customer problem identification and the full design lifecycle for AI-driven products, from discovery through adoption.

• Apply and adapt a range of research techniques, including quantitative and qualitative methods, to understand unique customer needs for enterprise software.

• Partner closely with Product Managers and Designers to deliver strategic recommendations that significantly influence product decision-making and direction.

• Validate feature and design concepts through rigorous usability testing, participatory design, and early concept testing.

• Mentor other UX researchers and champion the UX research discipline across the broader organization.

📝 Enhancement Note: This role is positioned as a Sr. Staff UX Researcher, indicating a senior-level individual contributor role with significant influence and mentorship responsibilities. The focus on "AI Control Tower" and "AI integration" suggests a strategic role in shaping how AI is perceived, understood, and utilized within ServiceNow's enterprise platform, requiring a deep understanding of both user experience principles and the evolving landscape of artificial intelligence in business processes.

📈 Primary Responsibilities

• Spearhead the research strategy for the AI Control Tower product suite, ensuring a deep understanding of user needs and pain points.

• Define and synthesize complex user types, use cases, and customer journeys relevant to AI-driven enterprise solutions.

• Plan and execute comprehensive research studies, including defining objectives, outlining methodologies (quantitative and qualitative), developing sample plans, and setting timelines.

• Conduct formative and summative usability testing, participatory design sessions, and early concept validation to inform iterative design improvements.

• Translate research findings into actionable insights and strategic recommendations, presented through artifacts such as user segments, persona frameworks, jobs-to-be-done analyses, and user journey maps.

• Effectively communicate research findings and their implications to product management, design, engineering, and other key stakeholders through expert presentation skills.

• Provide mentorship and guidance to junior UX researchers, fostering their professional development and promoting best practices in research methodology.

• Champion the user-centered design process and the strategic importance of UX research across the AI Control Tower product teams and the wider ServiceNow organization.

📝 Enhancement Note: The responsibilities emphasize a strategic, end-to-end research ownership. The mention of "AI Control Tower" implies a focus on complex, interconnected systems and the user experience of managing and interacting with AI-driven operations. The role requires not just execution but also strategic influence and mentorship, typical of a Sr. Staff level position.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Master's or Ph.D. in Human-Computer Interaction, Psychology, Sociology, Anthropology, or a related field is often preferred for senior-level UX research roles. A strong portfolio can often substitute for specific degree requirements.

Experience: Minimum of 10+ years of progressive experience in customer-centered UX research, with a significant portion focused on enterprise software or complex technology platforms. Demonstrated experience in applying or critically thinking about AI integration into work processes, decision-making, or problem-solving.

Required Skills:

• Proven experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving, including understanding AI-powered tools, workflow automation, and AI-driven insights.

• Extensive experience in applying customer-centered research techniques to product definition and design, with a strong portfolio showcasing impact.

• Expertise in defining, planning, and executing research studies, including outlining objectives, goals, timelines, developing sample plans, and selecting appropriate quantitative and/or qualitative data collection methods.

• Ability to develop insightful, probing questions that resonate with both highly technical individuals and business-minded end-users of enterprise software.

• Strong understanding of user interface design principles, usability evaluation techniques, task analysis, and experimental design.

• Experience with the creation and execution of online surveys and rich qualitative research methods (e.g., in-depth interviews, contextual inquiry).

• Expert presentation skills to clearly visualize technically complex topics and communicate them effectively to diverse audiences, including customers, product management, and design stakeholders.

• Deep comprehension of personas, product capabilities, and technical constraints. Preferred Skills:

• Experience with AI-specific research methodologies or understanding the unique research challenges presented by AI products.

• Familiarity with ServiceNow's platform and ecosystem.

• Experience mentoring and guiding other UX researchers.

• Knowledge of advanced statistical analysis and data visualization techniques.

📝 Enhancement Note: The "Basic Qualifications" explicitly mention AI integration experience, making this a critical requirement. The "Preferred Qualifications" highlight a strong need for enterprise software experience and advanced presentation skills, underscoring the communication demands of this senior role. The 10+ years of experience aligns with a "Sr. Staff" designation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing research that has demonstrably influenced product insights or user experiences.

• Clear documentation of research goals, methodologies employed, the process followed, and your specific role and contributions.

• Examples of data visualizations and crisply articulated insights derived from your research.

• Case studies demonstrating how your research directly impacted product definition, feature development, or design validation.

• Evidence of research applied to complex systems, enterprise software, or AI-related products. Process Documentation:

• Demonstrations of your process for defining research objectives, selecting appropriate methodologies, and managing research timelines for complex projects.

• Examples of how you synthesize qualitative and quantitative data to generate actionable insights and strategic recommendations.

• Documentation illustrating your approach to validating designs and features through various testing methods (e.g., usability testing, A/B testing).

• Evidence of your ability to translate research findings into clear, compelling artifacts (personas, journey maps, jobs-to-be-done) that guide product development.

📝 Enhancement Note: The job description explicitly asks for a portfolio that "influenced great insights or experiences," emphasizing the impact and strategic value of the research. For a Sr. Staff role, the portfolio should demonstrate end-to-end ownership, strategic thinking, and the ability to mentor and influence. The inclusion of AI integration experience in the qualifications suggests that portfolios showcasing research in this domain will be highly valued.

💵 Compensation & Benefits

Salary Range: $190,900 - $334,100 per year (Base Pay)

Benefits:

• Comprehensive health plans, including flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Program (ESPP).

• Matching donations for charitable contributions.

• Flexible time away plan.

• Family leave programs.

• Equity (when applicable).

• Variable/incentive compensation.

• Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.

Working Hours: Standard full-time work hours are assumed, typically around 40 hours per week, with flexibility noted through "Work Personas" (Flexible or Remote).

📝 Enhancement Note: The provided salary range is for the specific location (Santa Clara, California). ServiceNow is known for offering a robust benefits package that supports employee well-being and financial growth. The "Flexible or Remote" work persona indicates a modern approach to work arrangements, which can be a significant benefit for operations professionals seeking work-life balance. The salary range is competitive for a Sr. Staff UX Researcher in the Bay Area tech market, especially for a company of ServiceNow's caliber.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software / Cloud Computing / AI Platform. ServiceNow operates at the intersection of IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM), and HR Service Delivery, now heavily integrating AI to automate and optimize workflows across businesses.

Company Size: ServiceNow is a large, established enterprise company, indicated by its Fortune 500 status and significant employee count (likely in the tens of thousands, though not explicitly stated in the provided data). This size implies a structured environment with established processes but also opportunities for broad impact and cross-functional collaboration.

Founded: ServiceNow was founded in 2004. Its mission, rooted in automating tedious tasks to free people for meaningful work, has evolved with technology, now focusing on AI as the "AI control tower for business reinvention." This history suggests a culture of innovation and a drive to solve complex business problems through technology.

Team Structure:

• The UX Research team likely operates within the Product Development or Design organization, working closely with Product Management and Engineering.

• This Sr. Staff role suggests a senior individual contributor who may also mentor or lead research initiatives for smaller teams or specific product areas.

• Collaboration is expected across various departments, including Product Management, Design, Engineering, AI/ML teams, and potentially Sales and Customer Success to gather diverse user feedback. Methodology:

• The company emphasizes an AI-native culture, suggesting a strong focus on data-driven decision-making and leveraging AI for insights and efficiency.

• User-centered design and research are core to their product development process, as evidenced by the job description.

• A "flexible and trust-based" approach to work is promoted, indicating a culture that values autonomy and results.

Company Website: https://www.servicenow.com/

📝 Enhancement Note: ServiceNow's positioning as an "AI control tower for business reinvention" signifies a forward-thinking company heavily invested in AI. For a UX Researcher, this means working on cutting-edge AI products and understanding the complex user interactions involved in managing AI-driven operations. The company's scale offers opportunities to impact a vast number of enterprise clients.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Sr. Staff UX Researcher," placing it at a senior individual contributor level. It signifies a high degree of expertise, strategic thinking, and the ability to tackle the most complex research challenges independently. It's a position of influence, often preceding or paralleling principal-level roles.

Reporting Structure: Typically, a Sr. Staff UX Researcher would report to a Director or VP of UX Research or Product Design. They would work in close collaboration with senior Product Managers and Design Leads for the AI Control Tower product areas.

Operations Impact: The impact of this role is significant, directly influencing the development and adoption of AI-powered products that aim to "reinvent business." By ensuring these complex AI systems are usable, valuable, and understood by customers, the UX Researcher drives customer satisfaction, product adoption, and ultimately, ServiceNow's market leadership and revenue growth. Research insights will guide the strategic direction of AI features, ensuring they solve real business problems.

Growth Opportunities:

• Specialization: Deepen expertise in AI research methodologies, ethical AI considerations, or specific domains within the AI Control Tower suite.

• Leadership: Transition into a management role (UX Research Manager/Director) or a Principal/Distinguished Researcher track, focusing on broader strategic initiatives and mentorship.

• Cross-functional Influence: Expand influence across different product lines or contribute to company-wide UX strategy and best practices.

• Industry Recognition: Contribute to thought leadership through publications, conference presentations, or internal knowledge sharing.

📝 Enhancement Note: The "Sr. Staff" title implies a career path focused on deep technical expertise and strategic influence rather than direct people management, though mentorship is a key component. The role is critical for guiding the user experience of complex AI products, making the impact directly tied to business outcomes and technological advancement.

🌐 Work Environment

Office Type: ServiceNow offers a "Flexible or Remote" work persona, indicating a hybrid or fully remote work environment. This suggests a modern, adaptable workplace that trusts employees to manage their work effectively.

Office Location(s): The primary listed location is Santa Clara, California, with offices at 2225 Lawson Lane. However, the "Flexible or Remote" persona suggests that this role can be performed from various locations within the United States, provided it aligns with company policy and potentially proximity to a ServiceNow office for occasional collaboration.

Workspace Context:

• Collaboration: Expect a highly collaborative environment, working closely with Product Managers, Designers, Engineers, and AI/ML specialists. This will likely involve virtual collaboration tools, regular sync-ups, and potentially in-person meetings depending on work persona and team structure.

• Tools & Technology: Access to industry-standard UX research tools, collaboration platforms (like Slack, Teams), and potentially internal ServiceNow tools for data analysis and project management. The focus on AI will also mean interaction with AI/ML development environments and data sets.

• Team Interaction: Opportunities for regular interaction with a diverse team of product professionals, fostering a dynamic and innovative atmosphere. The mentorship aspect implies a supportive environment where knowledge sharing is encouraged.

Work Schedule: While the standard is likely 40 hours/week, the "Flexible" aspect of the work persona suggests potential for some flexibility in start/end times, provided core collaboration hours and project deadlines are met. Remote work requires strong self-discipline and time management skills.

📝 Enhancement Note: The emphasis on "Work Personas" (Flexible/Remote) is a key aspect of ServiceNow's culture. For a UX Researcher, this means adapting research methodologies to suit remote participants and collaborating effectively across distributed teams. The Santa Clara location is a major tech hub, suggesting access to a rich talent pool and industry connections.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your application and resume, focusing on experience with enterprise software, AI research, and the required years of experience.

• Hiring Manager Interview: A discussion about your background, experience, and approach to UX research, particularly concerning AI and complex systems. They will assess your fit for the team and role.

• Portfolio Review & Presentation: This is a critical stage. You will be asked to present a selection of your work from your portfolio, detailing specific research projects. Expect to walk through your process, methodologies, insights, and the impact of your work. Prepare to discuss how you've handled complex challenges and influenced product decisions.

• Team Interviews: You may meet with other UX researchers, product managers, and designers. These interviews will assess your collaboration style, technical depth, and problem-solving abilities. They might include scenario-based questions or discussions about how you'd approach specific research problems related to AI Control Tower.

• Executive/Senior Leader Interview: Potentially a final interview with a senior leader (e.g., Director/VP of UX) to assess strategic thinking, leadership potential, and alignment with company values.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your experience with enterprise software, AI integration, and your ability to drive impact. Highlight projects where your research directly influenced product strategy or design outcomes.

• Structure Your Narrative: For each project, clearly articulate: The problem, your role and responsibilities, the research objectives, the methodologies used (and why), your process, key findings/insights, and the resulting impact (quantifiable if possible).

• Emphasize AI: If possible, include a project specifically related to AI, automation, or complex systems to directly address the job requirements. Explain how you approached the unique challenges of researching AI.

• Showcase Influence: Clearly demonstrate how your insights led to tangible product improvements or strategic shifts. Use data and metrics where available to quantify the impact.

• Prepare for Questions: Be ready to answer detailed questions about your methodology, decision-making process, and how you handled challenges or disagreements.

Challenge Preparation:

• Hypothetical Scenarios: Be prepared for questions like: "How would you research user needs for a new AI feature that automates X process?" or "What are the key UX challenges in designing an AI control tower interface?"

• Problem-Solving: Think about how you would break down complex problems, identify research questions, and propose solutions using your UX research toolkit.

• AI & Enterprise Context: Frame your answers within the context of enterprise software and the specific challenges and opportunities presented by AI.

📝 Enhancement Note: The portfolio review is paramount for this role. It's not just about showing what you did, but how you did it, why you made certain choices, and the impact your work had. Given the "Sr. Staff" title and AI focus, expect deep dives into your strategic thinking and ability to navigate complex product landscapes.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Tools for survey creation, participant recruitment, and remote usability testing (e.g., Qualtrics, SurveyMonkey, UserTesting.com, Lookback, Maze).

• Collaboration & Design Tools: Platforms for team collaboration, whiteboarding, and design review (e.g., Miro, FigJam, Figma, Adobe Creative Suite).

• Data Analysis Tools: Software for analyzing qualitative and quantitative data (e.g., Dovetail, NVivo, Excel, SPSS, R, Python for more advanced analysis).

Analytics & Reporting:

• Product Analytics: Tools to understand user behavior within the product (e.g., Pendo, Amplitude, Google Analytics – though less common for pure UX research, understanding these is beneficial).

• Data Visualization: Tools for creating compelling charts and dashboards to communicate findings (e.g., Tableau, Power BI, Looker, or built-in features of analysis tools).

CRM & Automation:

• CRM: While not directly a UX research tool, familiarity with CRM systems (like ServiceNow's own platform or Salesforce) is beneficial for understanding the enterprise context and user segmentation.

• Workflow Automation Tools: Understanding how AI and automation are implemented within enterprise platforms is crucial, even if not directly using these tools for research.

📝 Enhancement Note: While the job description doesn't list specific tools, a Sr. Staff UX Researcher at a company like ServiceNow is expected to be proficient in a wide array of industry-standard UX research and analysis tools. The emphasis on AI suggests a need to understand how data is collected and processed, potentially involving familiarity with data pipelines and analytics platforms used in AI development.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A deep commitment to understanding and solving customer problems, driving value through technology.

• Innovation & AI-Driven: Embracing AI as a core component for business reinvention and operational efficiency, fostering an AI-native mindset.

• Excellence & Impact: Striving for high-quality research that leads to demonstrable improvements in product design and user experience, contributing to business success.

• Collaboration & Trust: Working effectively across diverse teams, fostering a trusting environment where ideas are shared openly and work is approached with flexibility.

• Continuous Learning: A dedication to staying ahead of industry trends, particularly in AI and UX research, and a commitment to personal and professional growth.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with Product Management, Design, Engineering, and AI/ML teams is essential. This involves actively participating in product strategy discussions, design reviews, and development sprints.

• Data-Driven Dialogue: Engaging in constructive debates backed by research data and insights to influence product decisions and ensure user needs are prioritized.

• Mentorship & Knowledge Sharing: A culture that encourages senior members to mentor junior colleagues and share best practices across the organization, fostering a strong UX community.

📝 Enhancement Note: ServiceNow's emphasis on AI and business reinvention suggests a culture that values proactive problem-solving, strategic thinking, and a forward-looking approach. For a UX Researcher, this means contributing to the strategic vision of AI products and ensuring they are not only functional but also transformative for users.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI: Researching user needs and behaviors around novel AI technologies can be challenging due to user unfamiliarity, trust issues, or the abstract nature of AI outputs.

• Enterprise Scale: Understanding and addressing the diverse needs of a large enterprise customer base, with varying technical proficiencies and business contexts, requires sophisticated research strategies.

• Influencing Stakeholders: Effectively communicating complex research findings and driving adoption of user-centered recommendations among product and engineering teams requires strong influence and persuasion skills.

• Pace of Innovation: Keeping pace with the rapid advancements in AI technology and evolving user expectations necessitates continuous learning and adaptation of research methods.

Learning & Development Opportunities:

• AI Research Specialization: Opportunities to become a subject matter expert in researching AI-driven products, understanding human-AI interaction, and ethical AI considerations.

• Strategic Impact: Deepen involvement in product strategy and roadmap planning, leveraging research to shape the future of ServiceNow's AI offerings.

• Mentorship and Leadership: Develop leadership skills through mentoring junior researchers and potentially leading research initiatives for major product areas.

• Industry Engagement: Opportunities to represent ServiceNow at industry conferences or contribute to publications, enhancing professional visibility.

📝 Enhancement Note: The primary challenges revolve around the inherent complexity of AI and enterprise systems. Growth opportunities are geared towards deepening expertise in these areas, taking on more strategic product influence, and developing leadership capabilities within the UX research domain.

💡 Interview Preparation

Strategy Questions:

• "How would you approach researching user needs for a new AI feature that automates a complex enterprise workflow?" (Focus on breaking down the problem, identifying user segments, choosing appropriate methods for understanding AI interaction).

• "Describe a time when your UX research significantly influenced a product's strategic direction or design. What was the outcome?" (Prepare a detailed case study from your portfolio showcasing impact and influence).

• "How do you balance the needs of highly technical users with business-minded end-users when researching enterprise software?" (Discuss your methods for segmenting users and tailoring research approaches).

• "What are the key ethical considerations when researching AI products, and how do you address them?" (Demonstrate awareness of AI ethics and responsible research practices). Company & Culture Questions:

• "Why are you interested in ServiceNow and specifically our AI Control Tower products?" (Research ServiceNow's mission, AI strategy, and the AI Control Tower vision. Connect your passion for AI and enterprise UX).

• "How do you foster collaboration with Product Managers and Designers, especially when there are differing opinions on product direction?" (Highlight your communication, negotiation, and data-driven advocacy skills).

• "How do you measure the success and impact of your UX research efforts?" (Discuss metrics, KPIs, and how you track the ROI of your work). Portfolio Presentation Strategy:

• Tell a Story: Structure your portfolio presentation as a narrative for each project, guiding the interviewers through the journey from problem to solution and impact.

• Focus on "Why" and "How": Clearly explain the rationale behind your methodological choices and the specific steps you took in your research process.

• Highlight AI Relevance: If you have AI-related projects, emphasize them. If not, draw parallels to complex systems or automation you have researched. Explain how your transferable skills apply to AI research.

• Showcase Impact: Quantify results wherever possible (e.g., "led to a 15% increase in feature adoption," "reduced task completion time by 20%"). If quantitative data isn't available, clearly articulate the qualitative impact and strategic influence.

• Be Ready for Deep Dives: Anticipate detailed questions about your methods, insights, and decision-making. Be prepared to defend your choices with research principles and evidence.

📝 Enhancement Note: Preparing for this interview requires a strong understanding of both UX research best practices and the specific challenges of AI in enterprise software. Your portfolio presentation is your primary opportunity to demonstrate your strategic thinking, technical depth, and ability to drive impact.

📌 Application Steps

To apply for this Sr. Staff UX Researcher position at ServiceNow:

• Submit your application through the ServiceNow careers portal via the provided job link.

• Curate and Refine Your Portfolio: Select 3-4 key projects that best demonstrate your experience with enterprise software, AI integration, and your ability to influence product strategy. Ensure each project clearly outlines the problem, your role, methodology, insights, and impact. Tailor your presentation to highlight AI-relevant experience.

• Optimize Your Resume: Ensure your resume clearly articulates your 10+ years of UX research experience, with specific keywords like "AI integration," "enterprise software," "qualitative and quantitative research," "usability testing," and "strategic recommendations." Quantify achievements where possible.

• Prepare Your Presentation: Practice presenting your portfolio projects, focusing on storytelling, clear articulation of your process, and demonstrating the impact of your research. Be ready to answer in-depth questions about your methodology and decision-making.

• Research ServiceNow and AI Control Tower: Familiarize yourself with ServiceNow's mission, its AI strategy, and the concept of an "AI Control Tower." Understand the company's culture and values to articulate your fit.

⚠️ 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.