Insights Strategist

Responsibilities

• Identify high-value questions to answer with AI Search data based on product priorities, customer needs, and market changes.
• Develop recurring analyses tracking AI Search performance across models, topics, brands, and time periods.
• Investigate changes in visibility, citations, sentiment, source patterns, and model behavior.
• Develop and refine metrics and analytical methods for measuring AI Search performance.
• Translate findings into recommendations for product priorities, customer strategy, and prospect conversations.
• Partner with Product and Data to improve data quality, accessibility, reporting, and product experience.
• Create clear customer-ready analyses, presentations, and benchmarks.
• Present findings to internal teams, customers, and prospects.
• Document analytical methods, assumptions, and limitations.

Requirements

• 5+ years of experience in insights, analytics, product strategy, data science, consulting, or a related analytical role.
• Experience defining analytical questions and setting priorities independently.
• Strong SQL skills and experience working with large, complex, or imperfect datasets.
• Sound analytical judgment and ability to distinguish useful signals from unsupported conclusions.
• Experience building recurring reporting or measurement systems alongside one-time analyses.
• Strong written and verbal communication skills, including explaining technical findings to business and executive audiences.
• Experience turning analysis into specific recommendations for product teams, customers, or senior leaders.
• Ability to collaborate across Product, Data, Sales, Customer Success, and other functions.

Nice to Have

• Experience with AI Search, search analytics, SEO, AEO, large language models, or recommendation systems.
• Experience analyzing text-heavy or unstructured datasets.
• Familiarity with Python, R, notebooks, or business intelligence tools.
• Experience with B2B SaaS, data products, or analytics platforms.
• Customer-facing experience in strategy, consulting, solutions, or insights roles.
• Experience developing benchmarks, measurement frameworks, or analytical methodologies used across multiple customers.

Compensation and Benefits

• Equity in a fast-growing startup.
• Competitive benefits package tailored to location.
• Flexible time off policy.
• Parental leave.