Job description

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 high-impact UX research 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. You 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 while developers establish direction. They coordinate automation, evaluate confidence, debug failures, and balance tradeoffs across performance, deployment, and ecosystem constraints. This is an individual contributor role for a principal level researcher who can shape ambiguous problem spaces, influence product direction and bring external developer, customer and partner insight into strategic decisions. Responsibilities: • Shape strategic UX research across AI & Developer Platforms, ensuring well-defined priorities, high-quality delivery, and measurable product impact. • Contribute to defining the future of AI-native developer experience as it reshapes how developers work across tools, GUIs, CLIs, APIs, documentation, runtimes and agent-mediated workflows. • Identify high-value research questions and build pragmatic research approaches that inform product, platform and ecosystem decisions. • Bring external developer, customer and partner insight into Arm’s decision-making. • Translate research findings into practical design principles, product implications and recommendations that improve developer confidence, adoption, efficiency and developer success. • Represent developer needs in planning, roadmap and leadership forums, especially where hardware targets, runtimes, deployment environments, performance tradeoffs and ecosystem complexity shape the experience. • Raise the quality of research practice by sharing methods, mentoring peers and helping teams make better evidence-based decisions. Required Skills and Experience : • Proven experience leading complex UX research initiatives in product, platform, developer tooling, AI or technical ecosystem 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 crafting research strategy and influencing product direction without relying on formal authority. • Ability to influence senior team members through clear insight, sound judgment and business-relevant recommendations. • 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. “Nice To Have” 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. Please note that no relocation package is available for this role. #li-rj1 Salary Range: $211,600-$286,200 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process. Our 10x Mindset At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: careers.arm.com Use of AI in Your Application At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you. Recruitment Adjustments and Accommodations At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Requirements

Must-haves

Shape strategic UX research across AI & Developer Platforms, ensuring well-defined priorities, high-quality delivery, and measurable product impact.
Contribute to defining the future of AI-native developer experience as it reshapes how developers work across tools, GUIs, CLIs, APIs, documentation, runtimes and agent-mediated workflows.
Identify high-value research questions and build pragmatic research approaches that inform product, platform and ecosystem decisions.
Bring external developer, customer and partner insight into Arm’s decision-making.
Translate research findings into practical design principles, product implications and recommendations that improve developer confidence, adoption, efficiency and developer success.
Represent developer needs in planning, roadmap and leadership forums, especially where hardware targets, runtimes, deployment environments, performance tradeoffs and ecosystem complexity shape the experience.
Raise the quality of research practice by sharing methods, mentoring peers and helping teams make better evidence-based decisions.
Proven experience leading complex UX research initiatives in product, platform, developer tooling, AI or technical ecosystem 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 crafting research strategy and influencing product direction without relying on formal authority.
Ability to influence senior team members through clear insight, sound judgment and business-relevant recommendations.
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.
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.
Please note that no relocation package is available for this role.
Our 10x Mindset
Use of AI in Your Application

Nice-to-haves

“Nice To Have” Skills and Experience :

Application prep

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Keywords to mirror

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