Lead User Experience Researcher (AI)

Location: Lowell, Massachusetts, United States

Salary: $150,500–$214,500 per year, plus potential performance-based bonus and restricted stock unit awards.

Company

hirify.global provides an AI-first workforce operating platform covering HR, payroll, workforce management, and culture technology for more than 80,000 organizations.

What you will do

• Lead quantitative, behavioral, and analytics research on adoption, trust, reliance, friction, hesitation, abandonment, and value realization for AI-powered products.
• Develop descriptive and predictive insights across user segments, roles, journeys, and product experiences.
• Design behavioral telemetry and measurement frameworks for meaningful interactions, workflows, and touchpoints.
• Lead A/B tests and quasi-experiments evaluating features, nudges, defaults, and levels of automation.
• Establish metrics for adoption, trust calibration, sustained usage, intervention effectiveness, and appropriate AI reliance.
• Translate behavioral and product data into recommendations, decision frameworks, executive-ready narratives, and product strategy guidance while partnering with Product, Data Science, Data Engineering, Engineering, UX, and Product Operations.
• Build scalable systems for behavioral data collection, experimentation, dashboards, and continuous insight generation, and mentor researchers.

Requirements

• 7+ years of experience in behavioral research, behavioral analytics, data science, or a related field within digital product environments.
• Experience conducting quantitative and behavioral research that drives measurable user and business outcomes.
• Experience building research data infrastructure, behavioral instrumentation, reporting frameworks, dashboards, or measurement programs.
• Expertise in experimentation, A/B testing, predictive modeling, segmentation, cluster analysis, conjoint modeling, or behavioral telemetry analysis.
• Experience analyzing adoption, trust, reliance behaviors such as following, verifying, or overriding recommendations, friction, and outcome patterns.
• Experience with AI-assisted or conversational experiences, including machine learning, natural language processing, conversational analytics, journey modeling, or intent modeling.
• Strong SQL skills and experience working with large-scale behavioral and product datasets.
• Experience creating actionable insights, visualizations, dashboards, and executive-ready narratives.
• Ability to translate complex data into clear recommendations and influence product strategy through cross-functional partnership, with strong curiosity, reasoning, problem-solving, communication, and collaboration skills.

Nice to have

• Experience with enterprise SaaS, workforce technology, HR technology, or AI-enabled productivity platforms.
• Experience with Power BI, Looker, Visual Studio Code, Tableau, Claude, or similar analytics and AI-assisted tools.
• Experience partnering with Product, Product Operations, Data Science, Engineering, and UX teams on experimentation, onboarding, and AI experience optimization.
• Experience mentoring researchers or advancing quantitative, behavioral, and analytical practices across a UX organization.
• A collaborative approach grounded in respect, humility, curiosity, and entrepreneurial thinking.

Culture & Benefits

• Flexibility, benefits, performance-based bonus eligibility, and restricted stock unit awards may be available.
• A learning-oriented environment focused on challenging the norm, continuous improvement, and teamwork.
• Equal opportunity employment and disability accommodations during the application and interview process.