Nebius

Nebius

New AI and ISV Partner Business Development Manager

United States

No sponsorship$239k-$300kDetected 21 days ago
Full-Stack DevelopmentCloud PlatformsMachine LearningData EngineeringBusiness DevelopmentNegotiationForecastingPerformance ManagementRoboticsCommunication

About the role

  • We are not looking for account managers or program operators.

Responsibilities

  • Own and build Nebius' ISV partner ecosystem from the ground up with your key target accounts - defining strategy, segmentation, onboarding models, and long-term growth frameworks
  • Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
  • Develop and scale repeatable co-sell motions, embedding partners into Nebius' core sales plays and strategic opportunities
  • Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
  • Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
  • Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
  • Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
  • Act as a key architect of Nebius' partner program, including co-sell models, incentives, and engagement frameworks
  • Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
  • Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams

Requirements

  • 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
  • Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
  • Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
  • Experience leading co-sell and joint go-to-market motions with sales organizations

Nice to have

  • High autonomy and visibility across the business
  • Opportunity to shape how modern AI partnerships are defined and executed at Nebius
  • What Makes This Role Different

Skills

  • Nebius is leading a new era in cloud infrastructure for the global AI economy.
  • Built by engineers, for engineers.

Compensation

  • We offer competitive salaries, ranging from 239k - 300k OTE based on your experience.
  • Pay Transparency
  • We offer competitive compensation and benefits packages.
  • Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
  • Base Compensation Range
  • $250 - $315 USD

Benefits

  • Career growth and learning opportunities
  • Opportunity to work on impactful AI projects

Company info

  • Company-paid short-term, long-term and life insurance coverage.
  • What We're Looking For
  • We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment.

Equal opportunity

  • Nebius is an equal opportunity employer.
  • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
  • If you need accommodations during the application process, please let us know.
  • We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Visa & Work Authorization

  • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

This listing is sourced directly from Nebius's careers page and normalized into a canonical job model.