Group Manager, Research (AI)

Location: Oakland, California, or Charlotte, North Carolina, United States

Salary: $226,000–$305,500 base pay annually in Oakland

Company

Global financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Set the research vision, priorities, and roadmap across Credit Karma’s Money and Personal Finance businesses.
• Lead complex qualitative and quantitative product and market research initiatives, including tracking and experimentation partnerships.
• Oversee research operations covering recruitment, member panels, repositories, tooling, vendors, and budgets.
• Establish AI fluency across the research lifecycle and govern AI-enabled tools with a privacy-conscious quality standard.
• Lead, develop, and grow senior researchers, managers, and a research operations leader.
• Present insights to executives and increase the visibility and reuse of research across Credit Karma and hirify.global.

Requirements

• 12+ years of product or user research experience.
• 5+ years of team management experience, including leading managers or senior individual contributors.
• Proven ability to drive strategic product change through member insights.
• Deep mixed-methods expertise, including survey design, statistical analysis, data visualization, and product planning.
• Experience leading research operations covering recruitment, panels, repositories, tooling, and vendor and budget management.
• Strong AI fluency, executive communication, influence, partnership, quality judgment, and data privacy awareness.

Nice to have

• Fintech or consumer-finance experience.
• Market research experience in brand tracking, segmentation, pricing, or behavioral economics.

Culture & Benefits

• Competitive compensation package with performance-based rewards.
• Potential eligibility for a cash bonus, equity rewards, and benefits under applicable plans.
• Compensation considers role-related knowledge, skills, experience, and work location.
• Regular pay comparisons support fair compensation across ethnicity and gender categories.