About this role
Testing how large language models construct answers and designing analytical frameworks to track brand visibility across major AI models forms the core of daily responsibilities in this Madrid-based position. Collaborating closely with product, engineering, data, and PR teams, the person in this role will optimize site architecture for seamless AI ingestion, run tests to understand how search signals influence generative citations, and evaluate emerging platforms like MCPs.
Operating within the global SEO unit at Fever, the team captures demand across traditional engines, LLMs, and local listings to drive organic growth. This position exists to evolve core search practices for the next era of discovery, focusing on measurable impact rather than traditional acronyms. Ideal candidates bring a strong analytical background, programming capabilities, and a hands-on mindset tailored for a dynamic international environment.
What you will do
- Own the strategic evolution of core search practices by integrating methods to secure authoritative brand presence across major LLMs and generative search results.
- Design and execute testing procedures to decipher how established search signals influence LLM citations and generative presence.
- Design and maintain the analytical framework required to measure AI visibility performance accurately.
- Proactively integrate internal and external data sources while providing reliable methodologies for reporting.
- Collaborate intensively with product and engineering teams to ensure data schema, site architecture, and API feeds are optimized for AI model ingestion.
- Continuously evaluate new LLM releases, AI models, and emerging platforms such as MCPs to translate industry developments into actionable testing strategies.
- Design and execute PR and community conversation strategies aimed at accelerating and measuring LLM perception.
What you need
- Hold a Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Data Analytics, or Big Data.
- Bring 6 to 9 years of relevant experience focused on SEO, demonstrating ownership, attention to detail, and a proactive approach to problem solving.
- Demonstrate strong analytical and quantitative skills alongside a clear bias toward data-based decisions.
- Possess exceptional written and verbal communication skills to excel in cross-functional collaboration and convey complex concepts effectively.
- Bring working knowledge in Python, JavaScript, or other programming languages, with familiarity in SQL considered a plus.
- Maintain proficiency in both written and spoken English.
Nice to have
- Familiarity with SQL
- Knowledge of additional languages
Benefits
- Attractive compensation package with room to grow
- 40% discount on all Fever events and experiences plus free Candlelight voucher
- Flexible remuneration with Cobee for meals, transport, training, and nursery support
- Payflow option to access part of salary in advance
- Private health and dental insurance with Cigna 100% covered by Fever
- Wellhub membership for gym and wellness access up to the Silver plan
Skills and tech stack
Questions candidates ask
What is the work setup for this position?
The position features a hybrid work setup that is home office friendly with a central Madrid office location.
What programming skills are required?
Working knowledge in Python, JavaScript, or other programming languages is required, while familiarity with SQL is a plus.
What experience level is expected from applicants?
Applicants should bring 6 to 9 years of relevant experience on SEO, demonstrating ownership, attention to detail, and a proactive approach.
What health and wellness benefits are included?
Private health and dental insurance with Cigna is 100% covered by Fever, and a Wellhub membership is provided up to the Silver plan.