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Ai User Researcher Jobs (NOW HIRING)

Staff Engineer - Agentic AI

San Francisco, CA ยท On-site

$160K - $250K/yr

This role sits at the intersection of applied agentic AI, user research, and product delivery - and it directly determines the product's real-world value to enterprise customers. The company serves ...

Staff Engineer -- Agentic AI

San Francisco, CA ยท On-site

$160K - $250K/yr

This role sits at the intersection of applied agentic AI, user research, and product delivery -- and it directly determines the product's real-world value to enterprise customers. The company serves ...

Apply Early

Experience with the unique challenges of AI UX, including mental models of automation, transparency ... As the UX Researcher, you will bridge complex partnership workflows and the next generation of ...

Staff Engineer - Agentic AI

San Francisco, CA ยท On-site

$160K - $250K/yr

Report to the CTO and serve as technical lead for a small team of AI engineers, a user researcher, and domain expert contractors. * Own the full product loop: define agent capabilities from user ...

Apply Early

Staff Engineer - Agentic AI

San Francisco, CA ยท On-site

$160K - $250K/yr

Report to the CTO and serve as technical lead for a small team of AI engineers, a user researcher, and domain expert contractors. * Own the full product loop: define agent capabilities from user ...

Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business ... This role bridges user research, data analytics, and Agile engineering to ensure that WDP ...

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Showing results 1-20

Ai User Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do ai user researcher jobs pay per year?

As of Jul 3, 2026, the average yearly pay for ai user researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai User Researcher vs Data Scientist?

AspectAi User ResearcherData Scientist
Required CredentialsBachelor's or Master's in Human-Computer Interaction, Psychology, or related fields; knowledge of AI toolsBachelor's or Master's in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, tech companies, user experience teamsData analysis teams, tech companies, analytics departments
Industry UsageDesigning AI interfaces, improving user experience with AIBuilding predictive models, data analysis, AI algorithm development
Common Search & ComparisonOften compared for their roles in AI development and user interaction

The main difference between an Ai User Researcher and a Data Scientist lies in their focus areas. Ai User Researchers concentrate on understanding user needs and improving AI interfaces through user studies, while Data Scientists analyze data to develop models and algorithms. Both roles require technical skills, but their applications and work environments differ significantly.

What does an AI User Researcher do?

An AI User Researcher is responsible for studying how people interact with artificial intelligence products or features to improve their usability and effectiveness. They conduct user interviews, usability tests, surveys, and data analysis to gather insights on user needs, behaviors, and pain points. Their findings help guide the design and development of AI systems to ensure they are user-friendly, ethical, and meet real-world requirements. AI User Researchers often work closely with designers, engineers, and product managers throughout the development process.

What are the key skills and qualifications needed to thrive as an AI User Researcher, and why are they important?

To thrive as an AI User Researcher, you need a strong background in user research methodologies, data analysis, and human-computer interaction, typically supported by a degree in psychology, human factors, or related fields. Familiarity with tools like survey platforms (e.g., Qualtrics), usability testing software, and data visualization systems, as well as experience with AI technologies, is highly valuable. Excellent communication, empathy, and critical thinking skills help you interpret user needs and convey actionable insights to multidisciplinary teams. These competencies ensure that AI products are user-centric, effective, and intuitive, leading to better adoption and satisfaction.

How does an AI User Researcher collaborate with product and engineering teams during the development cycle?

AI User Researchers play a crucial role in bridging the gap between end-users and technical teams. They work closely with product managers to define user needs and pain points, and partner with engineers to translate research findings into actionable design and feature improvements. Regular collaboration involves presenting user insights, participating in sprint planning, and providing ongoing feedback to ensure AI-driven products are intuitive, ethical, and aligned with user expectations. This collaborative environment fosters continuous learning and ensures that user experience remains central throughout the development process.
More about Ai User Researcher jobs
What cities are hiring for Ai User Researcher jobs? Cities with the most Ai User Researcher job openings:
What states have the most Ai User Researcher jobs? States with the most job openings for Ai User Researcher jobs include:
Infographic showing various Ai User Researcher job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Senior User Researcher, Enterprise & Platform

Senior User Researcher, Enterprise & Platform

Glean

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
At Glean, our Enterprise and Platform experiences are foundational to our customers' success. We are looking for an experienced Senior User Researcher to focus on our admin persona-the IT leaders, setup admins, and citizen developers who deploy, configure, govern, and expand Glean within their organizations.
As a dedicated researcher for this high-priority investment area, you will play a critical role in removing deployment friction, improving the sandbox and trial experiences, and shaping the future of agent governance and ROI measurement. You'll collaborate closely with members of our product, design, engineering, and GTM teams to integrate research into roadmaps, drive impact from insights, and ensure admins can unlock and prove Glean's value.
This role is part of our Design team, a tight-knit and collaborative group. This is an exciting opportunity for a seasoned researcher who thrives on untangling complex enterprise workflows and helping to grow the team in the future.
You will:
  • Own high-impact research for the Enterprise & Platform area, focusing on admin, IT, and builder experiences.
  • Conduct mixed-methods research across the product lifecycle-foundational, generative, evaluative, and post-launch.
  • Help shape critical product areas including admin onboarding, platform setup, governance and permissions, billing and consumption visibility, and ROI reporting.
  • Generate actionable insights that improve deployment, rollout confidence, adoption, and long-term customer value.
  • Partner closely with Product, Design, Engineering, Data Science, and cross-functional stakeholders to influence roadmap and execution.
  • Mentor and enable others to run high-quality evaluative research when appropriate.
  • Use AI tools thoughtfully across the research workflow while maintaining rigor, sound judgment, and high-quality outputs.

About you:
  • 5-7+ years of User Experience Research (UXR) experience, with a proven track record of shaping B2B or enterprise product strategy.
  • Deep expertise with IT, admin, and builder personas-specifically researching deployment, governance, and configuration in complex software environments.
  • Strong systems-thinker capable of navigating multi-stakeholder ecosystems (buyers, admins, end-users, security) to balance competing needs and risk thresholds.
  • End-to-end impact-ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside PM, Design, and Engineering.
  • Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD) combined with strong quantitative research skills (survey design, statistical literacy, and triangulation with behavioral product data).
  • Self-directed and scrappy-comfortable scoping, recruiting, and driving research independently in a fast-paced, ambiguous environment.
  • Nice-to-haves:
    • Working knowledge of SQL or a scripting language such as Python or R for exploratory analysis.
    • Experience with enterprise security, compliance, or governance research, including developer tools, APIs, platform products, or technical setup workflows.
    • Familiarity with enterprise APIs, MCP, connectors, or integration architecture.
    • Background in productivity tools, collaboration software, or knowledge management.
    • Applied AI proficiency: hands-on experience using AI tools across the research lifecycle, with strong judgment about rigor, bias, and reliability.

Location:
  • This role is hybrid (4 days a week in our San Francisco office)

Compensation & Benefits:
The standard base salary range for this position is $185,000 - $210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.