Staff UX Researcher, Customer Service Management (CSM)

📍 Job Overview

Job Title: Staff UX Researcher, Customer Service Management (CSM)

Company: ServiceNow

Location: Santa Clara, California, United States

Job Type: Full-time

Category: User Experience Research / Product Operations

Date Posted: 2026-08-07

Experience Level: Mid-Senior Level (7+ years)

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

🚀 Role Summary

• Conduct in-depth, continuous customer research to inform product strategy and drive innovation within ServiceNow's Customer Service Management (CSM) offerings, focusing on emerging agentic AI systems.

• Translate complex customer needs and workflows into actionable insights for Product Management, Design, and Engineering teams, enabling data-driven decision-making across the product lifecycle.

• Define and adapt research methodologies, including innovative approaches for evaluating AI model behavior, user trust, and responsible AI considerations in a rapidly evolving category.

• Partner closely with cross-functional stakeholders to influence product roadmaps, validate design directions, and champion the voice of the customer throughout product development.

📝 Enhancement Note: This role is positioned within a specialized UX Research and Insights team focused on Product, UX, and Customer Research. The emphasis on "agentic systems," "human + AI interaction models," and defining a "playbook for a category that doesn't yet have one" indicates a highly strategic and forward-thinking research function, demanding advanced analytical and methodological skills beyond standard UX research. The target candidate is expected to be a subject matter expert capable of shaping research practices.

📈 Primary Responsibilities

• Establish and nurture deep, ongoing relationships with lead enterprise customers to foster a continuous loop of actionable insights.

• Understand unique customer requirements for ServiceNow products, defining and synthesizing user types, use cases, and specific UX opportunities.

• Represent customer needs across the product and design lifecycle, from discovery and concept validation through formative and summative usability testing and customer adoption.

• Synthesize insights from individual customer engagements and cohort-level patterns to inform both strategic product direction and detailed design decisions.

• Apply and adapt a range of research techniques and methodologies, including qualitative and quantitative approaches, to meet specific project needs.

• Collaborate with Product Managers and Designers to influence product strategy, roadmaps, and feature development.

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

• Evaluate agentic AI model behavior, user trust, and responsible AI considerations from Proof of Concept (PoC) through live customer use, alongside traditional usability and task success metrics.

• Analyze and synthesize qualitative studies and quantitative data from various sources to generate strategic and tactical insights with clear, actionable recommendations.

• Communicate findings effectively through well-articulated artifacts such as specific user segments, persona frameworks, jobs-to-be-done, user journeys, and task analyses.

• Integrate AI tools and methods into personal research workflows and actively contribute to defining new research approaches for novel product categories.

• Mentor and elevate the research practice across the team, including defining and disseminating new methods for evaluating AI model behavior and trust.

📝 Enhancement Note: The responsibilities highlight a "hands-on" approach, requiring direct customer engagement and deep workflow expertise. The expectation to "build AI into your own research workflow" and "scoping new methods for a category that doesn't yet have a playbook" points to a role that requires innovation and pioneering research strategies. This goes beyond standard research execution to actively shaping the future of research within ServiceNow.

🎓 Skills & Qualifications

Education:

• BA/BS degree or higher in Human-Computer Interaction, Human Factors, Psychology, Cognitive Science, Anthropology, Design, or a related field.

• Master's degree or PhD is considered a bonus. Experience:

• 7+ years of work experience applying and conducting customer-centered research techniques to product definition and designs.

• Extensive experience setting research direction and applying customer-centered research techniques, particularly in ambiguous, 0-to-1 product environments.

• Experience embedding directly with a product development team as an ongoing research partner, rather than operating as a discrete, request-driven service. Required Skills:

• Proven experience conducting research directly with B2B/enterprise customers, including navigating complex organizational stakeholders, business processes, and workflows to translate ambiguous business challenges into research questions.

• Demonstrated experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (e.g., using AI tools, automating workflows, analyzing AI insights).

• Experience researching AI-powered products or features, including evaluating AI model behavior, user trust, and responsible AI considerations, in addition to traditional usability and task success.

• Expert knowledge in defining, planning, and executing research studies, including outlining objectives, goals, and timelines, and developing sample plans and data collection approaches using quantitative and/or qualitative methods.

• A strong portfolio showcasing research that influenced insights or experiences, including research goals, methodologies, process, personal involvement, data visualizations, and articulated insights.

• Deep understanding of user interface design principles and usability evaluation techniques. Preferred Skills:

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

• In-depth knowledge of task analysis and experimental design.

• Experience with the creation and execution of online surveys and rich qualitative research techniques.

• Expert presentation skills to visualize technically complex topics and communicate them effectively to customers and product management/design stakeholders.

• Ability to learn new technical concepts quickly.

• Experience coaching and mentoring more junior team members, contributing to their professional growth.

📝 Enhancement Note: The emphasis on "7+ years of work experience" and "extensive experience setting research direction" in "ambiguous, 0-to-1 product environments" signifies a need for a senior-level researcher capable of strategic leadership and pioneering new research avenues, particularly within the emerging field of agentic AI in enterprise software. The requirement for a portfolio that demonstrates "research that influenced great insights or experiences" is critical, suggesting a focus on impact and tangible outcomes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing research that has directly influenced product insights and user experiences.

• Clear articulation of research goals, specific methodologies employed, and the detailed process followed for each project.

• Documentation of personal involvement and role within each research initiative.

• Effective use of data visualizations to present findings and support insights.

• Crisply articulated insights derived from the research, demonstrating strategic and tactical impact.

• Examples demonstrating the ability to translate ambiguous business challenges into research questions and actionable recommendations. Process Documentation:

• Evidence of defining, planning, and executing research studies, including outlining objectives, goals, and timelines.

• Examples of developing sample plans and determining optimal data collection approaches using both quantitative and qualitative methods.

• Demonstrations of how research findings were synthesized and communicated to influence product strategy and design decisions.

• Case studies highlighting experience researching AI-powered products, including evaluations of AI model behavior, user trust, and responsible AI considerations.

• Examples of integrating AI into personal research workflows or developing novel research methods for new product categories.

📝 Enhancement Note: The requirement for a portfolio is a key differentiator for this role, emphasizing "research that influenced great insights or experiences." This suggests that candidates must not only be proficient in research methods but also in demonstrating the tangible impact of their work on product development and customer satisfaction, especially within the context of novel AI technologies.

💵 Compensation & Benefits

Salary Range:

• Base Pay: $166,500 - $291,400 per year.

• This range is for the specified location (Santa Clara, California) and is subject to change based on work location and other factors. Benefits:

• Health plans, including flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Plan (ESPP).

• Matching donations.

• Flexible time away plan.

• Family leave programs.

• Equity (when applicable).

• Variable/incentive compensation structure (for sales positions, a competitive On Target Earnings (OTE) incentive compensation structure). Working Hours:

• Standard full-time role, typically 40 hours per week.

• Work Persona: Flexible or Remote, offering a degree of autonomy in scheduling and location.

📝 Enhancement Note: The salary range provided is specific to the Santa Clara, California location. The note about "Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure" is included in the source material but is not directly applicable to this UX Researcher role, which is typically not commission-based. The explicit mention of "Equity" as a benefit suggests potential for long-term financial upside.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software (Enterprise Solutions, AI-powered platforms)

Company Size: ServiceNow is a large enterprise company, indicated by its global presence and significant employee base (implied by Fortune 500 recognition).

Founded: Fred Luddy founded ServiceNow with the vision of automating tedious tasks to free people for meaningful work. The company has grown to become an "AI control tower for business reinvention."

Team Structure:

• The role is part of the UX Research & Insights team, which is focused on Product, UX, and Customer Research.

• Researchers enable product management, design, and engineering leadership to make data-driven product strategy and decisions.

• This role involves close collaboration with Product Managers and Designers, as well as working with enterprise customers.

• The team emphasizes a continuous insights loop and aims to elevate the overall research practice. Methodology:

• Data-driven decision-making is central, with research insights directly informing product strategy and roadmaps.

• A strong focus on understanding customer needs through deep relationships and continuous research.

• Embraces innovation, particularly in exploring and defining new methods for researching emerging AI technologies and product categories.

• Values diversity and inclusion, believing it inspires passion, creativity, and innovation.

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

📝 Enhancement Note: ServiceNow's mission to "free people from busywork" and become an "AI control tower for business reinvention" sets the stage for a culture that values efficiency, innovation, and the strategic application of technology. The emphasis on "AI-native culture" and "putting AI to work for people" indicates a company at the forefront of AI integration. The UX Research team's role is positioned as a critical enabler of this mission.

📈 Career & Growth Analysis

Operations Career Level: Staff UX Researcher. This is a senior individual contributor role, indicating a high level of expertise and autonomy. It suggests a leadership position within the research function, expected to influence product direction and mentor others.

Reporting Structure:

• The role reports into the UX Research & Insights team.

• The specific reporting manager is not detailed, but the role works closely with Product Managers and Designers.

• As a "Staff" level position, there's an expectation of influencing senior leadership and cross-functional partners. Operations Impact:

• Direct impact on shaping the strategy and direction of ServiceNow's Customer Service Management (CSM) products, especially those incorporating advanced AI capabilities.

• Influences product development by providing critical customer insights, ensuring products meet user needs and drive adoption.

• Contributes to defining new product categories and research methodologies, establishing ServiceNow as a leader in AI-driven customer service solutions.

• Elevates the overall research practice within the organization, setting standards for AI research and customer engagement. Growth Opportunities:

• Specialization & Leadership: Deepen expertise in AI research, agentic systems, and enterprise customer insights, potentially leading research initiatives for new product lines.

• Methodological Innovation: Opportunity to define and implement novel research approaches for cutting-edge AI products, contributing to industry best practices.

• Mentorship & Influence: Coach and mentor junior researchers, and influence product strategy at senior levels, building a reputation as a subject matter expert.

• Career Advancement: Potential to move into Principal Researcher roles, Research Manager positions, or transition into Product Management or Design Strategy roles within ServiceNow.

📝 Enhancement Note: The "Staff" title implies a level of experience and impact that goes beyond typical senior roles. This individual is expected to be a thought leader, driving research strategy and innovation, particularly in the nascent field of agentic AI within enterprise customer service. Growth opportunities are tied to both deepening specialized knowledge and expanding influence within the organization.

🌐 Work Environment

Office Type: ServiceNow offers a "Flexible or Remote" Work Persona. This indicates a hybrid approach where employees can choose to work from home or from a ServiceNow office, with flexibility based on the nature of their work.

Office Location(s):

• Primary location specified: Building A,B,C 2225 Lawson Lane, Santa Clara, California, 95054, United States.

• The company has a global presence, with various offices listed, but the role's primary base is Santa Clara.

• Remote work is permitted within the United States. Workspace Context:

• Collaborative Environment: The role requires close collaboration with Product Managers, Designers, and Engineering teams, suggesting a highly interactive and team-oriented workspace, whether in-person or virtual.

• Tools and Technology: Access to standard enterprise UX research tools, as well as potential exposure to and integration of AI tools within the research workflow.

• Operations Team Interaction: Regular interaction with the UX Research & Insights team for knowledge sharing, mentorship, and to collectively elevate research practices.

Work Schedule:

• Standard 40-hour work week is implied for full-time roles.

• The "Flexible or Remote" persona suggests a degree of autonomy in managing working hours, provided deliverables are met and collaboration needs are satisfied.

📝 Enhancement Note: The "Flexible or Remote" work persona is a significant draw for operations professionals seeking work-life balance and autonomy. While the Santa Clara office is specified, the ability to work remotely within the US broadens the talent pool and offers flexibility. The collaborative nature of the role implies a need for strong communication and virtual collaboration skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Deeper dive into experience, research philosophy, and how the candidate's background aligns with the role's specific needs, especially regarding AI research and enterprise customers.

• Portfolio Review & Presentation: A critical stage where candidates present their work. This will involve showcasing specific research projects, detailing methodologies, insights, and the impact on product decisions. Expect detailed questions about the process, challenges, and outcomes.

• Cross-functional Interviews: Interviews with Product Managers, Designers, and potentially Engineering leads to assess collaboration style, communication skills, and ability to influence cross-functional partners.

• Staff-Level Assessment: A final interview, potentially with senior leadership, to evaluate strategic thinking, leadership potential, and ability to contribute to the broader research practice and company vision.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the "so what?" for each research project. How did your work influence product direction, design decisions, or business outcomes?

• Showcase Process: Detail your research process from problem definition to insight delivery. Highlight how you adapted methods to specific project needs, especially for AI-related research.

• Demonstrate AI Expertise: Include examples of research on AI-powered products, showcasing your ability to evaluate model behavior, user trust, and responsible AI.

• Quantify Results: Where possible, use metrics to demonstrate the impact of your research (e.g., improved task success rates, increased user satisfaction, adoption metrics).

• Tell a Story: Structure your portfolio presentations as compelling narratives that highlight challenges, your approach, and the impactful resolution.

• Tailor to ServiceNow: Research ServiceNow's products, particularly CSM, and their recent AI initiatives. Frame your experience in a way that demonstrates relevance to their strategic goals.

Challenge Preparation:

• Be prepared for hypothetical scenarios: "How would you research X feature for AI-powered CSM?" or "How would you evaluate user trust in an AI agent?"

• Practice articulating complex research findings concisely and persuasively.

• Prepare to discuss your approach to building relationships with enterprise customers and navigating their complex organizational structures.

• Understand and be ready to discuss the principles of responsible AI and how to research them.

📝 Enhancement Note: The portfolio review is explicitly called out as a requirement and a key component of the evaluation. Candidates should prepare to present 2-3 in-depth case studies that demonstrate their senior-level capabilities, particularly in AI research, enterprise B2B contexts, and influencing product strategy. The "Staff" level suggests a focus on strategic impact and thought leadership.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for survey creation, participant recruitment, and data analysis (e.g., Qualtrics, SurveyMonkey, UserTesting.com, Dovetail, Lookback).

• Collaboration Tools: Platforms for team communication and project management (e.g., Slack, Microsoft Teams, Jira, Confluence).

• Design & Prototyping Tools (for review): Familiarity with tools used by designers (e.g., Figma, Sketch, Adobe XD) to understand and evaluate designs.

Analytics & Reporting:

• Data Analysis Software: Proficiency in analyzing qualitative and quantitative data. This may include statistical software (e.g., SPSS, R) or qualitative analysis tools (e.g., NVivo, ATLAS.ti).

• Business Intelligence Tools (for context): Familiarity with BI tools (e.g., Tableau, Power BI) for understanding broader business performance metrics that research might influence.

• Reporting & Visualization Tools: Ability to create clear, compelling reports and dashboards.

CRM & Automation:

• CRM Systems (for understanding context): Familiarity with enterprise CRM systems like ServiceNow's own platform or Salesforce, to understand the customer data landscape.

• Workflow Tools: Understanding of how workflows are designed and automated, especially relevant given the focus on agentic AI systems.

📝 Enhancement Note: While specific tool requirements are not listed, the role's nature suggests a need for proficiency in a broad range of UX research tools, data analysis software, and collaboration platforms. The emphasis on AI means familiarity with or a strong aptitude for understanding AI-powered tools and their implications for research is crucial.

👥 Team Culture & Values

Operations Values:

• Customer Centricity: Deeply understanding and advocating for customer needs is paramount.

• Innovation: Driving forward with new methods and technologies, especially in AI research, to solve complex problems.

• Collaboration: Working effectively across Product, Design, and Engineering to ensure research insights are integrated into product development.

• Data-Driven Decision Making: Basing product strategy and design choices on robust research findings.

• Impact & Influence: Focusing on research that leads to tangible improvements and strategic direction.

• Continuous Learning: Staying abreast of advancements in UX research, AI, and enterprise software.

Collaboration Style:

• Partnership: Embedded within product teams, working as a continuous research partner rather than an external service provider.

• Cross-functional Integration: Seamlessly collaborating with Product Management and Design to shape product strategy and validation.

• Open Communication: Sharing insights clearly and persuasively with various stakeholders, including senior leadership.

• Mentorship & Knowledge Sharing: Actively contributing to the growth of research practice and mentoring junior colleagues.

📝 Enhancement Note: ServiceNow's stated company values (e.g., putting AI to work for people, freeing people from busywork) likely permeate the team culture. For a UX Researcher, this translates to a focus on how technology can improve user experiences and operational efficiency, with a strong emphasis on ethical AI deployment and user trust.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Category: Researching and helping to define a product category (agentic AI for CSM) that lacks an established playbook requires pioneering new methods and adapting existing ones.

• Evaluating AI Trust and Behavior: Quantifying and qualifying user trust and the behavior of AI models is a complex, evolving area of research.

• Navigating Enterprise Complexity: Understanding and translating the needs of large, complex enterprise organizations and their intricate workflows.

• Influencing Product Strategy: Effectively translating research insights into actionable changes that influence product roadmaps and strategic decisions at a senior level.

• Balancing Research Methods: Determining the most effective mix of qualitative and quantitative methods, especially when dealing with novel AI interactions.

Learning & Development Opportunities:

• AI Research Specialization: Opportunity to become a leading expert in researching AI-driven products, user trust, and responsible AI within the enterprise SaaS space.

• Methodological Innovation: Develop and implement cutting-edge research methodologies for emerging AI technologies.

• Cross-functional Influence: Enhance skills in stakeholder management, strategic communication, and influencing product direction at a senior level.

• Mentorship and Leadership: Gain experience in coaching and mentoring other researchers, and potentially leading research initiatives.

• Industry Exposure: Engaging with advanced AI concepts and contributing to the development of industry-leading AI solutions.

📝 Enhancement Note: The primary challenge and growth opportunity lie in the pioneering nature of researching agentic AI systems. This role is for someone who thrives in ambiguity, enjoys defining new processes, and wants to be at the forefront of AI product research.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to research a product in a completely new category with no existing playbook. How did you approach it?" (Focus on methodology innovation, customer engagement)

• "How would you approach evaluating user trust in an AI agent designed to handle customer service workflows?" (Focus on AI research methods, ethical considerations)

• "Walk us through a research project where your insights significantly changed a product's strategic direction. What was your process for influencing stakeholders?" (Focus on impact, stakeholder management, data storytelling) Company & Culture Questions:

• "What interests you about ServiceNow and our mission, particularly regarding AI?" (Demonstrate research into company vision, AI focus)

• "How do you see your role contributing to a data-driven and AI-native culture at ServiceNow?" (Align personal values with company culture)

• "Describe your experience working with B2B/enterprise customers. What are the unique challenges and opportunities?" (Highlight relevant customer experience) Portfolio Presentation Strategy:

• Structure: Use a STAR (Situation, Task, Action, Result) or similar framework for each case study.

• AI Focus: Highlight any experience researching AI products, evaluating model behavior, or user trust. If direct AI research experience is limited, draw parallels from complex system research.

• Impact Metrics: Quantify the impact of your research whenever possible (e.g., "led to a 15% increase in task completion," "informed a strategic pivot that resulted in X").

• Process Clarity: Clearly articulate your research process, showing your critical thinking and methodological choices.

• Stakeholder Influence: Emphasize how you communicated findings and influenced decisions.

• Visuals: Use clear, professional visuals for data and journey maps.

• Conciseness: Be mindful of time; practice presenting your most impactful work efficiently.

📝 Enhancement Note: Prepare to discuss your experience with AI research specifically, as this is a core differentiator for this role. Be ready to articulate how you'd approach research in an area where established best practices are still emerging. The "Staff" level means interviewers will probe for strategic thinking, leadership potential, and your ability to mentor others.

📌 Application Steps

To apply for this Staff UX Researcher position:

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

• Portfolio Customization: Curate your portfolio to prominently feature projects demonstrating expertise in enterprise B2B research, complex workflow analysis, and ideally, any experience with AI-powered products or features. Tailor your case studies to highlight impact and strategic influence.

• Resume Optimization: Ensure your resume clearly details your 7+ years of experience, emphasizing your work with enterprise customers, your research methodologies, and your contributions to product strategy and design. Use keywords from the job description, such as "UX Research," "Customer Research," "AI," "Agentic AI," "Product Strategy," and "B2B."

• Interview Preparation: Practice articulating your research process, key findings, and the impact of your work. Prepare specific examples for behavioral questions related to collaboration, problem-solving, and influencing stakeholders. Rehearse your portfolio presentation to ensure it is concise, impactful, and addresses the specific requirements of this role.

• Company Research: Thoroughly research ServiceNow's mission, products (especially CSM), and their strategic focus on AI. Understand their company culture and values, and be prepared to discuss how your background and approach align with their objectives.

⚠️ 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.