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)