Customer AI Analyst

Customer AI Analyst

$80–110K + 20% bonus

Location: New York

About the Position:

Our client is a fast-growing AI-powered SaaS company helping marketers understand and optimize AI marketing performance. They'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 the company 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 technical, business, or finance-related field preferred—can substitute for customer-facing experience.
• Highly organized with the ability to manage multiple accounts and competing priorities.
• Demonstrated grit and resourcefulness—you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment.
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
• Commitment to craftsmanship—you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability—able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Nice to Haves:

• Background in SEO (e.g., keyword strategy, performance analysis, organic growth).
• Experience in digital marketing or campaign performance analysis.
• Prior roles in SEO analysis, marketing operations, or conversion optimization.

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