Principal UX Researcher (AI)

TL;DR

Principal UX Researcher (AI): Evolving hirify.global's research into an an AI-driven insights engine, architecting organizational capability to produce high-velocity insights for an AI-native, mobile-first world. Focus on leveraging AI to compress the discovery-to-insight cycle and establishing governance and ethical integrity for AI-augmented research.

Location: Waltham, MA or Remote (Must be based in the US). The company operates a hybrid work model, combining remote work with access to office locations.

Salary: $159,900 - $191,400 USD

Company

hirify.global empowers business owners, entrepreneurs, non-profits, and individuals with tools to succeed and grow online.

What you will do

• Spearhead end-to-end research for "big bet" initiatives, leveraging AI to accelerate the discovery-to-insight cycle.
• Deliver high-impact artifacts, from AI-curated video highlight reels to actionable roadmap pivots, to drive executive decision-making.
• Scale organizational research capability by coaching Product Managers and Designers on high-speed methodologies.
• Architect a "Research-as-a-Service" model, providing self-service templates and peer-review checklists.
• Re-engineer manual workflows using AI-driven automation tools for recruitment, transcription, and tagging.
• Architect and maintain a centralized "Insights Commons" utilizing LLM-based natural language querying for historical data.
• Establish governance and operational ethics for AI-augmented research, ensuring privacy compliance and protecting participant PII.
• Facilitate high-stakes post-research workshops to translate user behavior into prioritized product requirements and design specifications.

Requirements

• 8+ years of UX research experience, with a proven track record of building "Insights Engines" for SaaS organizations.
• Hands-on experience implementing AI-driven tools to automate the research lifecycle.
• Experience mentoring others and democratizing research through standardized toolkits.
• Expertise at turning raw data into a narrative and leading synthesis workshops with engineers and executives.
• Understanding the nuances of PII and data privacy, especially related to automated transcription and AI-based data processing.

Nice to have

• Direct experience building or managing a modern "Insights Commons" or repository with a focus on searchability and stakeholder self-service.
• Experience with specific AI-research methods, such as evaluating AI trust or utilizing LLMs for thematic analysis of qualitative data.
• A background in Research Ops, with a focus on automating recruitment, incentives, and transcription.
• Master’s or PhD in HCI, Cognitive Psychology, or a related field, with a focus on human-computer-AI interaction.

Culture & Benefits

• A culture of diversity and inclusion with programs and educational opportunities.
• Opportunities for career growth, learning different aspects of the business, and professional development.
• Generous paid time off policy and a competitive benefits package.
• Hybrid work model combining remote flexibility with access to office locations for collaboration, training, and socialization.