AI Search Analyst

Scrunch a venture-backed startup is on a mission to bring brands to an AI-first future—where people increasingly rely on LLMs to discover understand and act on information that matters to them.

As AI search and conversational agents replace traditional web search and browsing Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT Claude Gemini and more—working with AI platforms not against them. This shift represents the biggest change to marketing since the dawn of the internet.

With $26M in backing from Mayfield Fund Decibel Homebrew GTM Capital and leading Silicon Valley founders and operators Scrunch has scaled rapidly since commercial launch. Today more than 500 paying brands—including Fortune 500 companies like Lenovo category-defining brands like Skims and breakout startups like Clerk—use the platform.

We’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.

• 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.

• 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.

• 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.

• Languages: SQL Python

• Data: BigQuery ClickHouse Postgres dbt

• Analytics: dashboards notebooks experimentation reporting workflows

🎯 Ownership: Equity in a fast-growing category-defining company
💝 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

Scrunch is an equal opportunity employer. We welcome people of all backgrounds experiences perspectives and identities. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.

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What We Do

Scrunch AI is the leading platform for helping brands gain visibility in AI search results. As discovery shifts from traditional SEO to large language models and AI agents Scrunch provides marketers with the platform to understand how their brand is being interpreted — and the necessary technology infrastructure to shape it.