UX Researcher Lead - AI/ML, Cloud & DevTools Benchmarking

User Research International; United States; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

Dental Insurance

401(k)

Paid time off

Paid holidays

Job summary

User Research International, a US-based UX research consultancy in Kirkland, Washington, is seeking an experienced UX Researcher (5+ years) to lead benchmarking and usability studies for AI/ML, cloud, and developer-facing tools. You’ll design and run structured evaluations that measure usability, efficiency, and developer experience across complex technical workflows.

Responsibilities include planning end-to-end studies, evaluating AI/ML tools and cloud platforms, collaborating with engineers

Qualifications

• 5+ years of UX research experience with independent benchmark or usability study ownership.
• Strong grounding in HCI, study design, and measurement frameworks.
• Experience researching developer tools, ML workflows, APIs, CLIs, or cloud platforms.
• Excellent communication for technical and non-technical audiences.
• Highly organized, self-directed, and comfortable in technical environments.

Responsibilities

• Lead end-to-end benchmark and usability studies (planning → protocol design → analysis → reporting).
• Evaluate AI/ML tools, APIs, and cloud-based developer platforms.
• Collaborate with engineers, data scientists, and ML practitioners to uncover workflow friction.
• Synthesize technical feedback into clear, actionable product recommendations.
• Deliver high-quality insights while managing multiple studies with minimal oversight.

Skills

UX research

Benchmark studies

Study design

Communication

Independent ownership

Job description

User Research International, a US-based UX research consultancy in Kirkland, Washington, is seeking an experienced UX Researcher (5+ years) to lead benchmarking and usability studies for AI/ML, cloud, and developer-facing tools. You’ll design and run structured evaluations that measure usability, efficiency, and developer experience across complex technical workflows.

Responsibilities include planning end-to-end studies, evaluating AI/ML tools and cloud platforms, collaborating with engineers