Product Research Lead — AI Strategy & Growth

Rippling; Seattle (WA); Vor Ort; USD 171.000 - 285.000; Vollzeit

Zusammenfassung

Rippling is seeking a Product Research Lead to shape the company’s product direction across HR, IT, and Finance domains. You will lead research initiatives, develop grounded viewpoints, and collaborate with product, design, engineering, and data teams to drive evidence-based decisions.

You will personally lead research, write for executives, and mentor others while navigating ambiguous questions and expanding opportunities in AI-native workflows.

Qualifikationen

• Record of applied research on complex products, services, or organizations, including work that influenced product direction.
• Strong qualitative research skills and judgment on when to use quantitative, behavioral, market, or competitive evidence.
• Experience with B2B software or business operations is especially relevant.
• Inductive and systems thinking to explain how people and rules influence outcomes.
• Exceptional writing and storytelling to present findings to product leaders.

Aufgaben

• Frame important questions and design research that can change decisions.
• Learn how companies operate: people, systems, rules, incentives, and workarounds.
• Recruit participants and, when needed, source hard-to-reach respondents.
• Conduct rigorous qualitative research and combine it with data and market evidence.
• Identify jobs that matter enough for customers to change behavior or adopt a product.
• Write and present a clear main judgment with supporting evidence.
• Build trust with partners and challenge assumptions constructively.
• Mentor teammates and strengthen the research practice.

Kenntnisse

Applied research

Qualitative research

B2B software

Product judgment

Stakeholder collaboration

Storytelling

Jobbeschreibung

Rippling is seeking a Product Research Lead to shape the company’s product direction across HR, IT, and Finance domains. You will lead research initiatives, develop grounded viewpoints, and collaborate with product, design, engineering, and data teams to drive evidence-based decisions.

You will personally lead research, write for executives, and mentor others while navigating ambiguous questions and expanding opportunities in AI-native workflows.