
Business Development Representative – Nebius Token Factory
Nebius Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $145,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Cloud
About the role
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 2–3 years of experience in Sales Development, Business Development, or outbound prospecting in AI, SaaS, cloud, devtools, or similar technology sectors.
- Demonstrated ability to generate leads, book qualified meetings, and support pipeline creation.
- Experience engaging technical buyers such as founders, Heads of AI/ML, engineering teams, or product leaders.
- Strong research skills and the ability to quickly evaluate companies, technologies, and use cases.
- Basic understanding of AI technologies, especially LLMs, inference, GPU compute, and cloud-based AI platforms.
- Ability to grasp technical concepts (models, latency, performance, throughput, optimization, pricing) and translate them into customer-relevant value.
- Familiarity with open-source AI models (Llama, Qwen, DeepSeek, Kimi, etc.) is a strong plus.
- Excellent written and verbal communication skills in English.
- Strong ability to craft personalized outreach messages and run structured qualification conversations.
- Highly organized, disciplined, and comfortable managing a high volume of outreach activities.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI technologiesLLMsinferenceGPU computecloud-based AI platformslead generationoutbound prospectingpipeline creationtechnical evaluationopen-source AI models
Soft skills
written communicationverbal communicationresearch skillsorganizational skillsdisciplinepersonalizationstructured conversationscollaborationtechnical translationengagement