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Lead – Generative Intelligence and Search Ecosystem Analyst

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: On
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Team for Career Site

Ecommerce

In short

The way the world discovers information is undergoing a fundamental shift. Consumers are moving away from traditional search engines toward a fragmented ecosystem of AI assistants, agentic models, and decentralized social channels. At On, we address this transformation through our “Search Everywhere” initiative.

As the Lead – Generative Intelligence and Search Ecosystem Analyst, you will be the primary intelligence architect of On’s visibility in this fragmented “Search Everywhere” reality, moving beyond the legacy metrics of keyword rankings and organic traffic to a more holistic understanding of brand authority, entity recall, and AI-driven recommendations. You will lead the insights generation and data-driven recommendations to help ensure On remains the “cited answer” in a world dominated by AI-driven recommendations, generative engines, and decentralized social ecosystems.

You will tackle complex, ambiguous challenges by treating Large Language Models (LLMs) as the new search index, ensuring our technical innovations (from Cloud Tec™ to Light Spray™), product attributes and brand stories are accurately represented and recommended to consumers globally.

Your mission
  • Strategic Vision for Discovery:
    Own the long‑term roadmap for On’s visibility across the “Search Everywhere” landscape, moving the organization from tracking rankings to mastering “entity authority” and AI recall.
  • Ecosystem Intelligence:
    Lead the analysis of the non‑linear customer journey, using advanced clickstream and behavioral data to identify exactly where and how consumers are shifting their trust from traditional search engines to generative AI and social platforms.
  • Technical Authority on Retrieval:
    Serve as the internal expert on Retrieval‑Augmented Generation (RAG). Define the technical standards for how our product data should be structured to be “machine‑readable” and “summarization‑ready,” minimizing AI hallucinations about our technology.
  • Global Market Orchestration:
    Navigate the nuances of international search ecosystems (including Google, Baidu, Naver, and Yandex), ensuring On’s technological narrative is consistent and authoritative across different linguistic and algorithmic environments.
  • Cross‑Functional Influence:
    Partner with Paid and Organic Search, Content, Marketing, and Product teams to optimize budget allocation and content pipelines, acting as a trusted thought partner to bridge the gap between technical data engineering and brand storytelling.
  • Operational Excellence:
    Partner with Data and Tech teams to guide the construction of scalable ETL pipelines for log file analysis, monitoring AI bot behavior (like GPTBot) at the server level to ensure high‑value content is indexed and retrieved efficiently.
Your story
  • Proven Domain Expert:
    You have extensive experience (8+ years) in technical SEO and search analytics. You don’t just use tools; you have a track record of solving complex visibility problems and understand the underlying mechanics of how information is vectorized, retrieved, and presented.
  • Future‑proof mindset:
    You have looked into how to adapt your toolkit. You have a working knowledge of emerging evaluation frameworks (such as NDCG or RAGAS) and are familiar with the specialized toolkits used to audit LLM responses and brand clarity. You stay ahead of the curve in emerging trends, such as visual search (Google Lens), agentic e‑commerce, and the nuances of zero‑party data.
  • Technical Fluency:
    Proficient in Python and SQL. Comfortable working with large‑scale datasets, server logs, and building the logic for automated intelligence dashboards.
  • Collaborative Influencer:
    Strong communicator who can translate complex linguistic analytics into actionable business terms for senior stakeholders across regions and functions.
Meet the team

You will join the Digital Customer Analytics team, a high‑performing team dedicated to the end‑to‑end customer journey, from optimizing performance marketing and site experimentation to analyzing purchasing behavior and long‑term loyalty. We transform complex digital signals into actionable insights that fuel growth, retention, and a seamless shopping experience.

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