Field CTO – Retail & Commerce AI

Role Overview

• 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

Requirements

• 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)

Tech Stack

• Cloud
• Distributed Systems

Benefits

• 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