About the Position:
Bluefish is on the cutting edge of AI-powered SaaS, helping marketers understand AI marketing performance and optimization. We're looking for a sharp, customer-savvy Customer AI Analyst who’s passionate about data, skilled in prompt engineering, and fluent in helping clients get real results from AI tools. As a Customer AI Analyst, you’ll work closely with customers to ensure their accounts are configured for success from the start—optimizing for the best possible AI outcomes. Your focus will be on turning data into insights, engineering effective prompts for large language models (LLMs), and collaborating directly with clients on regular deliverables. Think of this role as a blend of SEO analyst, AI prompt engineer, and strategic customer advisor.
What You’ll Be Doing:
- Account Setup & Optimization - Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.
- LLM Prompt Optimization - Design, test, and refine prompts to get high-quality outputs from large language models—ensuring results align with customer goals and industry standards.
- Customer Engagement & Strategy - Serve as the primary service advisor for your customers. Deliver actionable insights, performance reviews, and monthly deliverables (e.g., reports, strategy briefs, optimization plans).
- Insights & Storytelling - Turn complex data into clear, strategic recommendations using presentations, dashboards, and written narratives tailored to different stakeholders (including executives).
- Cross-functional Collaboration - Partner with product and account teams to feed customer insights into roadmap planning and improve overall service delivery.
- Customer Education - Contribute to enablement initiatives by creating data-driven best practices, case studies, and onboarding resources.
- Trend Monitoring - Stay up-to-date on AI, marketing analytics, and AEO/GEO trends to keep customers informed and ensure Bluefish remains ahead of the curve.
Qualifications:
- 2+ years of relevant experience in a customer-facing, data-focused role (e.g., technical account management, consulting, or analyst work) or demonstrable analytical experience within a SaaS company.
- Experience in data analysis and optimization, ideally within a SaaS or AI-focused environment.
- Strong ability to translate complex data into meaningful strategies and recommendations.
- Familiarity with prompt engineering and large language model (LLM) behavior is a major plus.
- Experience working with analytics tools (e.g., Excel, SQL, BI dashboards).
- Excellent communication and presentation skills—confident working with both technical and executive stakeholders.
- Strong organizational skills with a proven ability to juggle multiple clients and deadlines.
- Bachelor’s degree in a tech