About the Position:

Bluefish is on the cutting edge of AI-powered SaaS, helping brands understand their performance and optimization in the new AI funnel. As part of our Marketing Services team, we’re looking for a Senior Customer AI Researcher to lead the charge in uncovering how AI models perceive, rank, and recommend the world’s leading brands.

In this role, you will be the technical engine of our research arm. You aren't just looking at data; you are conducting sophisticated experiments to understand the mechanics of the AI-powered internet. You will bridge the gap between abstract marketing questions and hard technical evidence, ensuring every insight we deliver is defensible, credible, and actionable.

What You’ll Be Doing:

• Technical Implementation & Ownership – Own the end-to-end technical research stack, including platform specifications, configurations, advanced prompt engineering, custom queries, and the architecture of client-facing dashboards.
• Thought Leadership & Industry Insight – Generate high-impact thought leadership ideas by synthesizing industry trends, internal best practices, and deep-dive platform knowledge into fresh perspectives for the market.
• Measurement Scoping & Analysis – Translate strategic briefs into rigorous data requirements. You will define the boundaries of our research by scoping what can be captured within the platform versus what requires bespoke external analysis.
• Editorial & Data Credibility – Partner closely with the Editorial Director to co-author content briefs, ensuring that all data-driven narratives are technically sound, defensible, and meet the highest standards of credibility.
• Data Synthesis & Insights – Responsible for delivering clean, structured datasets and distilling them into the "top 3" most actionable insights that drive immediate value for our clients.
• Operational Excellence & Scalability – Build and maintain the "Research Playbook." You will create scalable processes that allow our team to conduct deep-dive audits for clients faster and with higher precision.
• Product Strategy Partnership – Act as a critical technical bridge, providing our Product and Engineering teams in Berlin with direct evidence from the field on platform performance and emerging AI model behaviors.

Qualifications:

• 5+ years of experience in technical research, data science, or performance-based marketing analytics within a SaaS or agency environment.
• Technical Mastery – Hands-on experience with LLM configurations and prompt engineering. You are comfortable building complex queries and designing intuitive BI dashboards.
• Analytic Rigor – You have a proven ability to manage large datasets and the "detective" mindset required to find patterns in the noise of AI-generated responses.
• Strategic Translation – You can take a high-level marketing question and break it down into a technical measurement plan with clear "can/cannot" parameters.
• Collaboration & Communication – Excellent at working cross-functionally with both creative/editorial teams and technical/engineering teams.
• Precision & Craftsmanship – You have an eagle eye for detail. You take pride in delivering "clean" data and believe that the credibility of our brand rests on the accuracy of your work.
• Education – Bachelor’s degree in a research-intensive field (e.g., Data Science, Economics, Statistics, or Computer Science) or equivalent practical experience.

Nice to Haves:

• SEO/SGE Mastery – Experience with Search Generative Experience or traditional SEO tools (Ahrefs, SEMRush, etc.).
• Technical Writing – Experience contributing to white papers, industry reports, or technical blogs.
• Automation Skills – Familiarity with Python or API-based workflows to streamline data collection and analysis.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin.

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
• Join an experienced high-performing team where you will have immediate ownership and impact
• Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

• 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.