Customer AI Analyst

Bluefish AI•New York, NY

About The Position

Bluefish is hiring a customer-savvy Customer AI Analyst to help marketers understand AI marketing performance and optimize outcomes using its AI-powered SaaS platform. The analyst will configure customer accounts for success, interpret data, engineer effective prompts for large language models, and work directly with customers on recurring deliverables. The role combines SEO analysis, AI prompt engineering, and strategic customer advising. The analyst will serve as a primary service advisor for customers, delivering actionable insights, performance reviews, reports, strategy briefs, and optimization plans. They will translate complex data into recommendations through presentations, dashboards, and written narratives for audiences ranging from technical stakeholders to executives. The role also collaborates with product and account teams, contributes to customer education resources, and monitors developments in AI, marketing analytics, and AEO/GEO. Bluefish is building an AI marketing platform to help brands engage consumers on AI channels, manage AI brand safety, and create personalized AI marketing experiences. The company describes itself as a globally distributed team, with business operations in New York City and engineering in Berlin.

Requirements

  • At least 2 years of relevant experience in a customer-facing, data-focused role, such as technical account management, consulting, or analyst work, or demonstrable analytical experience within a SaaS company.
  • Experience in data analysis and optimization, ideally in a SaaS or AI-focused environment.
  • Ability to translate complex data into meaningful strategies and recommendations.
  • Experience with analytics tools such as Excel, SQL, or BI dashboards.
  • Excellent communication and presentation skills, including confidence working with technical and executive stakeholders.
  • Strong organizational skills and the ability to manage multiple clients, accounts, deadlines, and competing priorities.
  • A Bachelor’s degree in a technical, business, or finance-related field is preferred; it can substitute for customer-facing experience.
  • Demonstrated grit and resourcefulness, with the ability to find creative solutions and adapt in a fast-paced, evolving environment.
  • Thoughtful, strategic thinking, including the ability to anticipate needs, ask effective questions, and deliver valuable insights.
  • Ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
  • Commitment to high-quality work and attention to detail while maintaining a broad perspective.
  • Proactive, accountable self-starter able to drive projects independently while staying aligned with team goals.
  • Comfort navigating ambiguity and learning new tools, processes, or technologies.

Nice To Haves

  • Familiarity with prompt engineering and large language model behavior.
  • Background in SEO, such as keyword strategy, performance analysis, or organic growth.
  • Experience in digital marketing or campaign performance analysis.
  • Prior experience in SEO analysis, marketing operations, or conversion optimization.

Responsibilities

  • Configure and optimize customer accounts to establish a strong foundation for AI performance.
  • Interpret key data to improve account setup and support ongoing AI optimization.
  • Design, test, and refine prompts for large language models to produce high-quality outputs aligned with customer goals and industry standards.
  • Serve as the primary service advisor for customers.
  • Deliver actionable insights, performance reviews, and monthly deliverables such as reports, strategy briefs, and optimization plans.
  • Translate complex data into clear strategic recommendations using presentations, dashboards, and written narratives tailored to different stakeholders, including executives.
  • Partner with product and account teams to share customer insights for roadmap planning and improve service delivery.
  • Create data-driven best practices, case studies, and onboarding resources to support customer enablement.
  • Monitor trends in AI, marketing analytics, and AEO/GEO and keep customers informed.
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