Similar Jobs
Edtech • Kids + Family • Social Impact • Software
Leads learning design for K-8 digital education content initiatives from brief through launch. Develops instructional frameworks, assessment items, content specifications, quality standards, and grade-band differentiation. Provides feedback and upskills learning designers, partners with product and editorial teams, and contributes to AI-assisted content workflows through prompt design, output evaluation, and quality rubrics. Requires strong assessment writing, curriculum expertise, standards knowledge, initiative leadership, and experience designing for multilingual learners.
Top Skills:
Ai-Assisted Content WorkflowsArtificial IntelligenceCcssCmsEld StandardsNgssPrompt DesignWida
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Lead a 10+ person marketing science team to centralize customer segmentation, programmatic media and audience strategy, marketing analytics and BI, attribution (lift and econometrics), ad operations, privacy/compliance, and martech. Build data products and automation for scalable media activation, provide reporting and insights for stakeholders and ELT, and collaborate cross-functionally to align measurement and marketing strategy.
Top Skills:
Ad OperationsAi ToolsBusiness IntelligenceCustomer SegmentationEconometric ModelingLift MeasurementMarketing AutomationMartechProgrammatic Media
Artificial Intelligence • Software
Lead end-to-end strategy and execution for conferences, trade shows, sponsorships, and ancillary events. Manage logistics, budgets, vendors, booth experience, speaker submissions, and onsite operations. Align events with sales and marketing priorities, capture and route leads, measure event KPIs and ROI, and travel regularly for onsite execution.
Top Skills:
ClaudeCRMEvent Technology PlatformsHubspotMarketing AutomationMonday.ComProject Management
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 R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Nebius is looking for a Senior/Lead Technical Recruiter - AI/LLM & Infrastructure to strengthen our Tech Talent Acquisition team and help us attract world-class engineering talent. This role will focus on hiring experts in LLM, Inference optimization, large-scale distributed systems, and high-performance infrastructure - including Backend, ML Platform, ML Ops, and GPU engineering.
You will play a key role in scaling our AI and R&D teams by building deep, high-quality talent pipelines and partnering closely with our engineering leadership.
This role will be based remotely from the USA (East Coast)
What you will do:
Deep Technical Sourcing (LLM, Inference, Systems, GPU):
Proactively identify and engage senior-level engineers and researchers across a wide range of AI/ML and systems domains.Use advanced sourcing methods across LinkedIn and GitHub engineering communities, open-source projects, conferences, and expert networks.
Pipeline Development:
Build and maintain long-term pipelines of senior engineers for current and future strategic roles. Provide hiring teams with regular funnel analytics, insights, and forecasts.
High-Touch Candidate Engagement:
Craft tailored communication for senior and niche candidates. Build trust, communicate value, and represent Nebius’s mission, technical challenges, and engineering culture.
Technical Screening:
Conduct initial calls to evaluate technical depth, hands-on experience with modern AI and systems technologies, and overall fit.
Close Partnership with Engineering Leadership:
Work directly with engineering and research managers to understand role requirements in detail and shape effective hiring strategies.
Work directly with engineering and research managers to understand role requirements in detail and shape effective hiring strategies.
Market Intelligence:
Monitor global trends in LLM research, AI infrastructure, inference efficiency, model deployment, and GPU availability. Identify the strongest companies and labs for targeted sourcing.
Monitor global trends in LLM research, AI infrastructure, inference efficiency, model deployment, and GPU availability. Identify the strongest companies and labs for targeted sourcing.
We expect you to bring
- 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
- Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
- Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
- Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
- Excellent communication, stakeholder management, and analytical skills.
- Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.
What we offer
- 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.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
