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Field CTO – Retail & Commerce AI jobs in United States
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Nebius · 1 day ago

Field CTO – Retail & Commerce AI

Nebius is an AI cloud infrastructure company building a full-stack platform for data, model training, and production deployment. The Field CTO for Retail & Commerce AI will lead technical product strategy and go-to-market efforts, support strategic customer deals, guide architecture, and translate market needs into scalable platform capabilities.
Cloud ComputingBig DataSoftwareEnterprise SoftwareFinanceHealthcareArtificial Intelligence (AI)RetailSaaSCloud StorageData StorageDeveloper ToolsFinancial ServicesHealth CareMachine Learning
Growth Opportunities
No H1B

Responsibilities

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

Qualification

Cloud InfrastructurePlatform EngineeringDistributed SystemsArtificial Intelligence and Machine LearningData ScienceMLOpsComplex Systems IntegrationGPU InfrastructureHigh-Performance ComputingStorage SystemsComputer NetworkingRetail & Commerce AIExecutive CommunicationInfluencing Leadership

Required

5+ years** of experience in cloud infrastructure, platform engineering, ordistributed systems
5+ years** of experience in AI, Data Science, ML, MLOps and ComplexIntegrations, with exposure to production or large-scale systems
Prior experience** in a senior technical leadership role (e.g., CTO / Technicalco-founder in Retail AI-Native startup, Field CTO, Head of MachineLearning, Head of Engineering)
Dual-Competency**: You are equally comfortable drawing a distributedsystem architecture on a whiteboard for engineers and explaining thebusiness value of that architecture to a CEO
GTM Fluency**: Experience partnering with Sales teams to close large-scaleenterprise deals and enabling field teams with technical assets
Product-Minded Leadership**: Experience defining a product or platformstrategy based on market feedback, not just executing technical tickets
Technical Depth**: Strong hands-on understanding of GPU-centricinfrastructure, high-performance compute, storage systems, andnetworking
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 influencingproduct teams and leadership through clarity and credibility
Comfort in Ambiguity**: Experience operating in fast-moving environments(hyperscalers, cloud platforms, or advanced AI startups) whererequirements are evolving
Travel**: ~20–30% (customer visits, partner engagements, industry events)

Benefits

Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

Company

Nebius

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Full-stack AI cloud infrastructure for training and deploying ML models.

Funding

Current Stage
Public Company
Total Funding
$18.42B
Key Investors
NVIDIAIsrael Innovation Authority
2026-08-19Post Ipo Debt· $5.75B
2026-07-17Post Ipo Debt· $775M
2026-03-18Post Ipo Debt· $4.3B

Leadership Team

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Arkady Volozh
CEO & Co-Founder
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Matthew Zeiler
SVP Research
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Company data provided by crunchbase