Jobs / United States / Servicenow INC

Servicenow INC

Principal UX Researcher, Moveworks

Santa Clara, California, US Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Servicenow INC paid sponsored hires in similar roles2 certified filings for “UX Researcher” (Industrial Engineers) in NY: $97k–$97k, median $97k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Servicenow INC paid sponsored hires in similar roles
2 certified filings for “UX Researcher” (Industrial Engineers) in NY: $97k–$97k, median $97k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Team & Role:  Moveworks is looking for a mixed-methods Principal Experience Researcher, AI to turn complex user behavior into clear, actionable product direction. You’ll combine qualitative research with quantitative analysis to understand not only what people do, but why they do it. You’ll serve as a critical bridge between end-user experiences and the machine learning systems that power them. By translating user needs, behaviors, and feedback into measurable signals, you’ll help teams evaluate and improve model performance—and ensure our AI creates experiences that are useful, trustworthy, and intuitive. This is a generalist research role for someone comfortable working across methods and stages of product development. You don’t need an engineering background, but you should be curious about how AI systems work and able to collaborate effectively with technical partners.   What you get to do in this role  • Identify and prioritize opportunities across the end-user journey by connecting large-scale behavioral data with qualitative insights, shaping product strategy and roadmap priorities. • Set research strategy and prioritize the research portfolio around high-impact user and business questions, selecting approaches that balance scope, depth, speed, and confidence to guide investment decisions. • Translate user needs and behaviors into clear signals that inform the design, development, and evaluation of AI and machine learning systems. • Define the evaluation strategy for AI-powered experiences, establishing frameworks, quality standards, and shared success measures across product, design, and machine learning teams that connect model performance to usability, relevance, trust, and user outcomes. • Investigate model and experience failures, identify recurring patterns, and recommend improvements across the product and underlying systems. • Serve as a strategic partner to product, design, engineering, data science, and machine learning leaders, framing critical questions, challenging assumptions, and aligning teams on evidence-based product direction. • Evaluate new concepts and product experiences throughout development—from early discovery and prototyping through launch and continuous improvement. • Communicate findings through clear narratives, data visualizations, research artifacts, and recommendations tailored to technical and nontechnical audiences.   What You Bring:   • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. • 10+ years of professional experience in user experience research, product research, human-computer interaction, behavioral science, or a related field. • Strong grounding in qualitative and quantitative research methods, including generative and evaluative approaches, with sound judgment in sampling, survey design, experimentation, bias, validity, and data interpretation. • Demonstrated ability to analyze large or complex behavioral datasets, including product usage logs, and translate findings into actionable product insights. • Strong written, verbal, and visual communication skills, including the ability to make complex findings clear to different audiences. • Strong collaboration and stakeholder-management skills, with experience building alignment across product managers, engineers, and designers. • A portfolio or work samples that demonstrate your research process, analytical capabilities, and influence on product decisions and user outcomes. The nice to have:   • Experience conducting lean UX research in a fast-paced environment. • Experienc

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