Field CTO – Retail & Commerce AI

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Nebius Group

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1001 - 5000 Mitarbeiter

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Die Nebius Group baut eines der weltweit führenden Unternehmen für KI-Infrastruktur auf und konzentriert sich darauf, die notwendige Rechenleistung, Speicherkapazität und Tools für Entwickler im KI-Bereich bereitzustellen. Mit Sitz in Europa und an der Nasdaq notiert verfügt Nebius über eine globale Präsenz mit F&E-Zentren in Europa, Nordamerika und Israel. Das zentrale Angebot des Unternehmens ist eine KI-zentrierte Cloud-Plattform, die für rechenintensive KI-Workloads ausgelegt ist, ergänzt durch verschiedene weitere Geschäftsbereiche in den Bereichen Generative KI, Edtech und autonome Technologien.

Beschreibung

• Serve as the external "CTO" face of Nebius to Retail & Commerce AI customers, partners, and ecosystem stakeholders, building trust with executive peers • Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals • Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams • Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers • Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market • Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end agentic workflows • Identify recurring customer pain points across agentic commerce, retail process optimization, and data pipelines to surface gaps in existing offerings and influence roadmap decisions • Partner with ecosystem vendors (agentic commerce platforms, product discovery & recommendation engines, price & promotion optimization, POS systems & payment solutions, supply chain management) to identify integration opportunities and evaluate potential technical M&A targets • Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D

🎯 Anforderungen

• 5+ years of experience in cloud infrastructure, platform engineering, or distributed systems • 5+ years of experience in AI, Data Science, ML, MLOps and Complex Integrations, with exposure to production or large-scale systems • Prior experience in a senior technical leadership role (e.g., CTO / Technical co-founder in Retail AI-Native startup, Field CTO, Head of Machine Learning, Head of Engineering) • Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO • GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets • Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets • Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking • Retail Fluency: Experience with Retail & Commerce AI workflows, including agentic commerce, omnichannel Gen AI, product discovery & recommendation, supply chain optimization, training pipelines, and real-world deployment constraints • Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility • Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving • Travel: ~20–30% (customer visits, partner engagements, industry events)

🏖️ Vorteile

• Competitive compensation • Career growth and learning opportunities • Flexibility and work-life balance • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams