About the RoleWe're looking for an Analyst to help us measure, explain, and improve brand visibility across AI-powered search and discovery surfaces.
This is a quantitative, customer-facing role for someone who is strong in analysis, measurement, experimentation, and storytelling.
You'll work closely with Customers, Customer Success, Product, Engineering, and Marketing to turn ambiguous questions into clear analyses, practical recommendations, and repeatable measurement. A big part of the job is helping customers understand what is happening in AI search, why it is happening, and what they should do next.
Location Requirement: This role is based in New York City and is considered Hybrid, 3x/week in-office with flexibility.
What You'll Do:- Build and maintain analyses, dashboards, and reporting that track AI search performance, including visibility, citations, competitive movement, prompt/topic performance, and content coverage.
- Translate platform data into clear customer-facing insights and recommendations tied to business goals, customer journeys, personas, and content priorities.
- Partner with Customer Success on client working sessions, reviews, investigations, and strategic readouts.
- Diagnose performance changes by analyzing prompt patterns, topic mix, source behavior, competitor activity, and platform shifts across AI surfaces.
- Design and support measurement frameworks and experiments, including hypothesis development, KPI definition, pre/post analysis, and readouts.
- Conduct quantitative deep dives into questions like what drives citations, where visibility is being won or lost, and how content or technical changes affect outcomes.
- Help improve internal methodologies for trend reporting, benchmarking, segmentation, and performance interpretation in noisy, fast-changing environments.
- Partner with Product and Engineering to surface customer pain points, edge cases, and opportunities for better reporting, analytics, and workflows.
- Contribute to external-facing analysis where useful, including research summaries, benchmark studies, and thought leadership content.
What You'll Bring- 2-4 years of experience in analytics, data science, consulting, or a similarly quantitative role.
- Strong foundations in statistics, analysis, and measurement.
- Experience working with messy, high-volume behavioral or product data and turning it into usable insights.
- Strong SQL and proficiency in Python for analysis.
- Experience building dashboards, analyses, or data products that inform decisions for customers or business stakeholders.
- Ability to structure ambiguous problems, choose sensible metrics, and explain what you found, why it matters, and how confident you are.
- Comfort working with noisy, incomplete, or non-representative data, including bias checks, caveats, and uncertainty-aware interpretation.
- Strong communication skills and comfort in customer-facing settings: you can present findings, answer questions live, and adapt technical detail to the audience.
Preferred / Nice to Have- Experience in digital analytics, SEO, search, content strategy, marketing analytics, or experimentation.
- Familiarity with AI search / LLM platforms and how visibility differs from traditional search.
- Experience with competitive analysis, benchmarking, or performance reporting.
- Exposure to NLP or classification workflows, even if you were not the primary model builder.
- Experience supporting enterprise customers in a strategic, analytical, or solutions-oriented role.
- Familiarity with the web as a system, including content structure, domains, crawlability, and measurement constraints.
- Familiarity with schema.org, structured content, technical SEO, or content operations.
Tools & Tech- Languages: SQL, Python
- Data: BigQuery, ClickHouse, Postgres, dbt
- Analytics: dashboards, notebooks, experimentation, reporting workflows
Benefits for full-time US employees: Ownership: Equity in a fast-growing, category-defining company
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Wellbeing: Medical, dental, vision, and life & disability insurance
Family support: Paid parental leave when life's biggest moments happen
Setup: Home office stipend so your workspace doesn't suck
Remote support: Phone and internet reimbursement
Growth: L&D budget for courses, conferences, and whatever makes you sharper
Time off: Flexible PTO - take what you need, we trust you
Financial wellness: 401(k)
Connection: Team offsites and a crew that genuinely likes each other
