Principal, Business Development - Physical AI

Nebius
Remote - United States$300k – $350kPosted 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 Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA Austin, TX Preferred) Your responsibilities will include: Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain. Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform. Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads. Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently. ISV Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions. Product Signal: Serve as the primary sensor for Product Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals. Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts. Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning ... (truncated, view full listing at source)
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