Senior Director of Product Marketing

Join Yubico, a leading provider of cybersecurity solutions, as the Senior Director of Product Marketing. In this role, you will be responsible for owning the technical narrative for Yubico's global portfolio, translating deep cryptographic capabilities into clear messaging and go-to-market strategies. You will work at the intersection of Product Management, Engineering, and Sales, and be the ultimate champion for technical audiences. Additionally, you will drive strategic launch momentum, enable the technical field, conduct competitive intelligence, and engage with the community and ecosystem.

• Définir, construire et maintenir le message technique et les cadres de positionnement pour la plateforme d'identité numérique de Yubico.
• Rédiger du contenu technique structuré, factuel et à forte valeur informative, optimisé pour la génération augmentée par la récupération (RAG) et les évaluations des fournisseurs pilotées par les LLM.
• Diriger les stratégies de mise sur le marché technique pour les nouveaux matériels, logiciels et services SaaS, en garantissant la préparation des ventes mondiales et l'habilitation des partenaires.
• Exceptional Technical Communication: Proven ability to move seamlessly between presenting low-level cryptographic mechanics to security researchers and discussing business risk mitigation with enterprise CISOs
• Education: Bachelor’s degree in Computer Science, Cybersecurity, Computer Engineering, or equivalent practical technical experience
• Protocol-Level Knowledge: Foundational technical understanding of modern identity and cryptographic frameworks, including FIDO2/WebAuthn, PKI, OAuth 2.0, OIDC, SAML, and directory services (such as Entra ID or Active Directory)
• Cybersecurity Domain Fluency: 10+ years of experience in Product Marketing, Technical Writing, Developer Relations, or Solutions Engineering specifically within Identity and Access Management (IAM), Cryptography, or Cloud Infrastructure Security
• Generative Search & RAG Savvy: A strategic understanding of how Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) systems crawl, parse, and recommend technical enterprise software and hardware