TL;DR
Work AI Research Lead (AI): Driving applied research to understand how AI is being used at work and its impact on productivity and decision-making, with an accent on analyzing large-scale telemetry, survey data, and experimental results. Focus on translating complex data into clear insights, shaping product strategy, and supporting thought leadership through the Work AI Institute.
Location: Remote (must be located in the US)
Salary: $120.00 - $130.00 per hour
Company
hirify.global is the Work AI platform that helps everyone work smarter with AI, evolving from enterprise search to a full-scale Work AI ecosystem.
What you will do
- Analyze large-scale, aggregated telemetry data to understand how AI usage patterns are evolving across roles, teams, and organizations.
- Design and analyze surveys to capture attitudes, behaviors, and outcomes related to AI adoption and work transformation.
- Translate complex data into clear, compelling insights that resonate with executive audiences.
- Build data-driven QBR materials and executive-ready research outputs to support strategic customer and partner conversations.
- Collaborate with Sales, Customer Success, and Marketing to ensure research insights are leveraged effectively in the field.
- Support the Work AI Institute’s thought leadership agenda, including reports, talks, and external publications.
Requirements
- Strong experience analyzing large, aggregated datasets (telemetry, behavioral, or product usage data).
- Proven ability to design, analyze, and interpret survey research.
- Ability to build polished, data-driven decks and narratives for senior leaders and external audiences.
- Comfort working cross-functionally with product, engineering, and go-to-market teams.
- Excellent written and verbal communication skills.
- This role is remote (must be located in the US)
Nice to have
- Background in organizational psychology, behavioral science, HCI, economics, or a related field.
- Experience conducting experiments or quasi-experimental research in applied settings.
- Familiarity with AI systems, LLMs, or AI-enabled workflows in enterprise contexts.
- Experience contributing to external research reports, white papers, or thought leadership.
- Comfort working with SQL, Python, R, or similar tools for analysis and visualization.
Culture & Benefits
- Committed to an inclusive and diverse company.
- Do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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