Job Description:
AI Product Analyst – Analyze AI Product Performance
The AI Product Analyst plays a vital role in connecting AI innovation with real-world product performance. You act as a strategic bridge between data science teams, product managers, and business stakeholders, ensuring that AI-powered features deliver measurable impact and value.
In this role, you will evaluate how AI products perform in market conditions. Your responsibilities include analyzing user engagement, product adoption, and the business outcomes generated by AI systems. These insights will inform key product roadmap decisions and help prioritize high-impact features.
You’ll define success metrics and set up experiments, including A/B tests, to measure performance. You’ll also interpret model outputs to identify patterns, validate product assumptions, and guide refinements. Your analysis will help reveal where AI tools are excelling and where there’s room for improvement.
Collaboration is central to your work. You’ll partner with AI engineers, data scientists, product owners, and marketers to align data-driven insights with product strategy. Together, you’ll ensure the AI roadmap stays focused on what matters to users and clients.
In addition, you’ll surface opportunities to optimize targeting, personalization, and automation within digital media platforms. You’ll evaluate how different model behaviors affect campaign results and client experience, translating technical outcomes into practical business language.
To succeed in this role, you must combine strong analytical skills with a product-driven mindset. You need to think beyond the data — understanding user needs, product design, and business objectives. Your ability to turn complex findings into clear recommendations is critical.
You’ll regularly use tools such as SQL, Python, Looker, or Tableau, and work closely with experimentation frameworks and model performance dashboards. Familiarity with ML concepts, evaluation metrics, and product KPIs is expected.
The AI Product Analyst helps shape AI-driven tools that optimize media performance and user experiences. Your insights will guide smarter decisions, stronger features, and more effective results.
This position is essential for turning AI investments into business success. Your analysis ensures that every model, feature, and strategy delivers value — clearly, measurably, and consistently.
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Responsibilities:
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Define and track KPIs related to AI product features and usage.
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Analyze user behavior and AI model performance metrics.
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Design and interpret A/B tests to validate new AI functionalities.
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Collaborate with product and engineering teams to translate data insights into improvements.
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Create dashboards and reports for stakeholders at different levels.
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Monitor long-term trends in AI product adoption and effectiveness.
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Identify data quality issues and propose solutions.
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Assist in prioritizing product backlog items based on impact analysis.
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Communicate complex findings in an accessible way to non-technical audiences.
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Support market research and competitor analysis relevant to AI features.
Preferred Qualifications:
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2+ years experience in product analysis, data analytics, or business intelligence.
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Strong proficiency in SQL, Python, and data visualization tools (Tableau, Looker).
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Experience working with AI or ML products is highly desirable.
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Understanding of experimentation design and statistical inference.
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Ability to synthesize technical data into strategic recommendations.
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Strong verbal and written communication skills.
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Familiarity with agile product development environments.
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Bachelor’s degree in business, data science, economics, or related fields.
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Curiosity and eagerness to work at the intersection of AI and business.
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Experience with cloud data platforms (AWS, GCP) is a plus.
