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LeadFull-timeRustRailsAWSAIML
Salary Range
$70,444 - $95,306 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Weβre looking for an experienced AI User Research Scientist to help shape the future of AI-driven security products at Auth0. This role focuses on deeply understanding user needs and validating assumptions behind AI-powered solutions to ensure they deliver product-market fit.
Key Responsibilities
- βLead research to test key assumptions around user behavior, trust, mental models, and willingness to adopt AI-powered security tools.
- βExplore early-stage product concepts to assess user needs, barriers to adoption, and potential monetization strategies.
- βDesign and execute studies that explore how users perceive, trust, and interact with LLMs, agents, and autonomous systems.
- βPartner with AI engineers, product managers, and designers to understand technical foundations and translate user insights into meaningful guidance.
- βUse mixed methods to uncover insights, from in-depth interviews and concept tests to survey design and behavioral analysis.
- βProbe how users form trust with AI, especially in sensitive, security-first domains.
- βUnderstand how generative AI systems work at a foundational level, including LLM training, fine-tuning, evaluation, and common failure modes.
- βSynthesize complex insights into compelling narratives for both technical and non-technical audiences.
Requirements
- β6+ years of experience in research, ideally with a strong focus on AI, security, or enterprise platforms.
- βProven success in early-stage product research, product-market fit exploration, or strategic assumption testing.
- βFoundational understanding of generative AI, model training workflows, and different agent architectures.
- βFamiliarity with LLM systems, agents, or AI-enhanced workflows β and ability to communicate their workings to non-technical stakeholders.
- βProficiency in a range of research methods (qual + quant), including surveys, concept testing, behavioral observation, and experiment design.
- βExperience collaborating with cross-functional teams including engineering, AI/ML, design, and product.
- βDeep curiosity, autonomy, and comfort working in ambiguous, 0β1 environments.
Benefits
- β Competitive salary and equity
- β Health, dental, and vision insurance
- β RRSP with a match
- β Healthcare spending
- β Telemedicine
- β Paid leave including PTO and parental leave
