Business Development Representative - Nebius Token Factory

Nebius
Remote - United StatesPosted 12 March 2026

Tech Stack

Job Description

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team. The role We’re looking for a Business Development Representative to support the growth of Nebius Token Factory’s AI inference platform by identifying, qualifying, and advancing high-potential prospects. In this role, you’ll engage technical buyers to understand AI workloads and infrastructure needs, generate qualified pipeline, and ensure strong handoffs to Account Executives. You’re welcome to work remotely in the United States. Your responsibilities will include: Prospecting Pipeline Development: Identify, research, and prospect potential customers for Nebius Token Factory’s AI inference platform. Build and maintain high-quality outbound pipelines across AI-native startups, digital-native companies, and enterprise teams. Execute multi-channel outreach campaigns to generate consistent top-of-funnel engagement. Quickly identify high-potential accounts and prioritize outreach based on technical fit, use case, funding signals, and growth indicators. Pipeline Development: Identify, research, and prospect potential customers for Nebius Token Factory’s AI inference platform. Build and maintain high-quality outbound pipelines across AI-native startups, digital-native companies, and enterprise teams. Execute multi-channel outreach campaigns to generate consistent top-of-funnel engagement. Quickly identify high-potential accounts and prioritize outreach based on technical fit, use case, funding signals, and growth indicators. Lead Qualification: Conduct initial qualification calls with prospects to understand their AI workloads, infrastructure needs, and business goals. Assess technical requirements such as model types, latency expectations, scaling patterns, GPU usage, and cost challenges. Determine readiness, timeline, stakeholder roles, and potential value before handing leads to Account Executives. Ensure only high-quality, well-qualified meetings enter the sales pipeline. Discovery Support Handover: Run short intro calls to validate fit and gather key technical and business details. Create structured, clear qualification notes for AEs, ensuring smooth transitions and successful discovery calls. Support AEs with additional research on target accounts, decision-makers, and product context when needed. Product Knowledge Industry Awareness: Stay up-to-date on the AI ecosystem, including LLMs, inference optimization, and cost-efficient model serving. Understand Nebius Token Factory’s offerings—serverless inference, dedicated endpoints, optimization tooling, and fine-tuning services. Clearly articulate the value of Nebius Token Factory to technical audiences, translating complex concepts into simple, outcome-oriented messaging. Collaboration Reporting: Collaborate closely with AEs, marketing, and product teams to refine ICP, messaging, outreach sequences, and campaign priorities. Maintain accurate CRM records, ensuring clean data, updated lead statuses, and detailed activity tracking. Report weekly on outreach performance, prospect engagement, qualified meetings, and pipeline contribution. Support follow-up from events, conferences, webinars, and partner activities to convert interest into qualified opportunities. We expect you to have: ... (truncated, view full listing at source)
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