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UX Research Manager - AI & Developer Platforms

Job in Seattle, King County, Washington, 98127, USA
Listing for: Arm Limited
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Product Designer, UI/UX Design, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Overview

Arm is shaping the software foundations that bring intelligence from cloud to edge. As part of the AI & Developer Platforms team, you will lead a global UX research function focused on how developers build, optimize and deploy AI-enabled software across Arm's ecosystem.

This role sits at the intersection of developer experience, AI platforms and hardware‑aware software. Your team will study the surfaces developers use every day, including tools, GUIs, CLIs, APIs, documentation, runtimes, workflows and agent‑mediated experiences. The goal is to help Arm define what developer experience should mean when developers are setting intent, supervising automation, evaluating confidence, debugging failures and making tradeoffs across performance, deployment and ecosystem constraints.

This is a management role for a research leader who can build talent, set vision for research excellence and turn insight into product direction. You will partner across engineering, product, design, go‑to‑market, ecosystem, business teams and leadership to ensure developer and partner insight shapes platform priorities, product strategy and externally credible developer experiences.

Responsibilities
  • Set the vision and operating model for UX research across AI & Developer Platforms, ensuring clear priorities, high‑quality execution and measurable product impact.

  • Manage, mentor and develop UX researchers, strengthening the team's technical fluency, research craft, judgment, confidence and influence.

  • Help define the future of AI‑native developer experience as it rapidly reshapes how developers work across tools, GUIs, CLIs, APIs, documentation, runtimes and agent‑mediated workflows.

  • Partner with product, engineering, design, ecosystem, go‑to‑market and business leaders to identify high‑value research questions and inform key platform decisions.

  • Bring external developer, customer and partner insight into Arm's decision‑making.

  • Represent developer needs in planning, roadmap and leadership forums, especially where hardware targets, runtimes, deployment environments, performance tradeoffs and ecosystem complexity shape the experience.

Essential Skills and Experience
  • Proven experience leading UX researchers, design researchers or multidisciplinary UX teams in complex product or platform environments.

  • Strong command of qualitative and quantitative research methods, with the judgement to choose approaches that fit the ambiguity, risk and decision at hand.

  • Experience defining research strategy, standards and operating models that improve product decisions.

  • Ability to influence senior stakeholders through clear insight, sound judgement and business‑relevant recommendations.

  • Technical fluency in developer tools, AI platforms, enterprise software or related ecosystems.

  • Strong systems thinking, with the ability to connect developer needs, workflows, platforms, automation and ecosystem constraints.

  • Excellent written and verbal communication skills for leadership, customer or partner‑facing discussions.

Desired Skills and Experience
  • Master’s degree in Human‑Computer Interaction, Cognitive Psychology, UX Design, Engineering Design or a related field, or equivalent practical background.

  • Background researching or defining AI‑native user experiences, including how people set intent, supervise progress, evaluate confidence, recover from errors and collaborate with agentic systems.

  • Familiarity with developer platforms, AI frameworks, runtimes, APIs, performance tooling, enterprise software or technical ecosystems.

  • Track record of using external research, market signals, partner input or community engagement to shape product strategy.

  • Ability to represent research externally through customer engagements, partner studies, industry forums, publications or conference talks.

  • Hands‑on use of AI to improve the speed, quality or scale of user research, including research planning, analysis, synthesis, insight generation, repository management or participant workflow support.

In Return

We offer a collaborative and inclusive culture, opportunities for professional growth, and the chance to shape developer experiences that influence how AI moves from software ideas…

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