AI Search Innovation Lead - Madrid based

Fever Up
Paris, Madrid
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 6-9 yearsEducation: high_schoolSkills: ["Cross-functional collaboration","Analytical thinking","Quantitative reasoning","Problem-solving","Communication"]

Drive Fever’s next-era organic discovery by testing and measuring how LLMs construct answers and citations. Build analytical frameworks to track AI visibility across major models and emerging platforms (including MCPs), and translate industry changes into actionable experimentation. Partner with Product, Engineering, Data, Marketing, and PR to optimize AI ingestion through data schemas, site architecture, and API feeds while designing PR/community strategies to accelerate LLM perception.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Fever Up
Fever Up
1 month ago

AI Search Innovation Lead - Madrid based

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Drive Fever’s next-era organic discovery by testing and measuring how LLMs construct answers and citations. Build analytical frameworks to track AI visibility across major models and emerging platforms (including MCPs), and translate industry changes into actionable experimentation. Partner with Product, Engineering, Data, Marketing, and PR to optimize AI ingestion through data schemas, site architecture, and API feeds while designing PR/community strategies to accelerate LLM perception.
Location: Paris, Madrid
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the strategic evolution of core SEO practices to secure authoritative brand presence across major LLMs and AI search results.
  • •Lead testing and measurement to determine how SEO signals influence LLM citations and generative presence.
  • •Design and maintain analytical frameworks to measure AI visibility, integrating new internal and external data sources.
  • •Collaborate with Product and Engineering to optimize data schemas, site architecture, and API feeds for AI ingestion.
  • •Continuously evaluate new LLM releases, AI models, and emerging platforms (including MCPs) and translate them into testing strategies.

Pay and Benefits

Perks:Health InsuranceDentalGym MembershipHome OfficeLanguage Learning

Key Requirements

  • •Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Data Analytics, or Big Data (STEM).
  • •6–9 years of relevant SEO experience with ownership, attention to detail, and proactive problem solving.
  • •Strong analytical and quantitative skills with a bias toward data-based decision making.
  • •Excellent written and verbal communication skills for cross-functional collaboration with diverse audiences.
  • •Working knowledge of Python or JavaScript (or other programming languages); SQL familiarity is a plus.
Experience:6-9 years
Education:High School in Engineering, Mathematics, Statistics, Data Analytics, or Big Data (STEM)
Skills:Cross-functional collaborationAnalytical thinkingQuantitative reasoningProblem-solvingCommunication
Languages:EnglishSpanish
Tech Stack:PythonJavaScriptSQLLLMsAI modelsMCPsAPIsData schemasSite architectureAI ingestion

Company Brief

Fever Up
Fever is a global events discovery and ticketing platform that curates and sells experiences, from immersive theatre and pop-ups to concerts and local activities, helping venues and organizers reach audiences worldwide.
Industry: Events & Live Entertainment
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Madrid, Spain
Founded: 2011
WebsiteLinkedIn