Insights Strategist

Posted Yesterday
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2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Analyze AI Search data to identify meaningful questions, build recurring reporting, investigate changes in visibility and model behavior, refine measurement methods, and translate findings into product, customer, and prospect recommendations. Partner with Product and Data teams, create customer-ready analyses and presentations, communicate findings to varied audiences, and document methods and limitations. The role requires strong SQL skills, analytical judgment, and the ability to work with complex datasets.
Summary Generated by Built In
About AirOps

AirOps is the full-service platform for brand growth in the age of AI search. As consumers shift from traditional search engines to platforms like ChatGPT, Claude, and Gemini, the entire ruleset of growth is being rewritten. Buyers now rely on agents to discover, recommend, and purchase products and services for them. If your brand isn't part of the answer, you aren't in the running.

Our platform offers everything a brand needs to get found, recommended, and earn trust. We work with category leaders, including teams at Ramp, Chime, Airbnb, ServiceNow, and Rippling, to drive visibility and accelerate growth from AI search.

Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we're headquartered in San Francisco, New York, and Montevideo.

About the Role

AirOps is hiring an Insights Strategist to analyze AI Search data and turn it into insights that support product decisions and customer guidance. This person will identify the questions worth answering, develop the analysis needed to answer them, and communicate the findings clearly.

The role combines recurring analysis with focused investigation. The Insights Strategist will build ongoing reporting that tracks changes in brand visibility, citations, sentiment, source patterns, and model behavior over time. They will also initiate deeper analyses when the data reveals a material shift or an unexplained result.

This role requires independent judgment about what to analyze and how to translate the results into decisions. The Insights Strategist will work closely with Product and Data to improve AirOps’ metrics, reporting, and product experience. They will also help customer-facing teams apply the findings in conversations with customers and prospects.

What you’ll do
  • Identify the questions AirOps should be answering with its AI Search data, based on product priorities, customer needs, and changes in the market.

  • Develop recurring analyses that track AI Search performance across models, topics, brands, and time periods.

  • Lead focused investigations into changes in visibility, citations, sentiment, source patterns, and model behavior.

  • Develop and refine the metrics and analytical methods AirOps uses to measure AI Search performance.

  • Translate findings into recommendations that inform product priorities, customer strategy, and prospect conversations.

  • Partner with Product and Data to improve the quality, accessibility, and usefulness of AirOps’ data and reporting.

  • Create clear, customer-ready analyses, presentations, and benchmarks without overstating what the evidence supports.

  • Present findings to internal teams, customers, and prospects, adapting the level of detail to the audience.

  • Document analytical methods, assumptions, and limitations so that important analyses can be repeated and trusted.

What we’re looking for
  • 5+ years of experience in insights, analytics, product strategy, data science, consulting, or a related analytical role.

  • A track record of defining analytical questions and setting priorities, rather than working only from requests created by other teams.

  • Strong SQL skills and experience working directly with large, complex, or imperfect datasets.

  • Sound analytical judgment, including the ability to select appropriate methods and distinguish a useful signal from an unsupported conclusion.

  • Experience building recurring reporting or measurement systems alongside deeper, one-time analyses.

  • Strong written and verbal communication skills, with the ability to explain technical findings to business and executive audiences.

  • Experience turning analysis into specific recommendations for product teams, customers, or senior leaders.

  • Comfort working across Product, Data, Sales, Customer Success, and other functions in a fast-moving environment.

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 in addition to SQL.

  • Experience working 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.

Our Guiding Principles
  1. Extreme Ownership

  2. Quality

  3. Curiosity and Play

  4. Make Our Customers Heroes

  5. Respectful Candor

Benefits
  • Equity in a fast-growing startup

  • Competitive benefits package tailored to your location

  • Flexible time off policy

  • Parental Leave

  • A fun-loving and (just a bit) nerdy team that loves to move fast!

Skills Required

  • 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 directly 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 and conducting one-time analyses
  • Strong written and verbal communication skills for explaining technical findings to business and executive audiences
  • Experience translating analysis into recommendations for product teams, customers, or senior leaders
  • Ability to collaborate across Product, Data, Sales, Customer Success, and other functions
  • 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 in addition to SQL
  • 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

AirOps Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AirOps and has not been reviewed or approved by AirOps.

  • Healthcare Strength Healthcare coverage is described as fully covered across medical, dental, and vision, minimizing out-of-pocket costs for employees. Feedback suggests this level of coverage is a standout element of the total rewards.
  • Leave & Time Off Breadth Time-off provisions include unlimited PTO alongside generous parental and family leave, supporting flexibility during both everyday and major life events. Feedback suggests these policies enhance work-life balance.
  • Equity Value & Accessibility Equity is consistently included across roles and positioned as a meaningful component of total compensation in a fast-growing startup context. Feedback suggests this upside strengthens overall pay perception.

AirOps Insights

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The Company
HQ: San Francisco, CA
57 Employees
Year Founded: 2021

What We Do

Build your AI growth engine. AirOps lets you easily build and scale AI workflows to crush your growth targets. Build with 40+ AI models, retrieval, and data sources or launch one of our proven playbooks.

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