Principal Solution Specialist, CoreWeave

• 10+ years of experience in ML engineering, MLOps, or AI platform development, with a track record of applying that expertise to drive customer outcomes and revenue
• 5+ years working with experiment tracking, model registry, or LLM observability platforms, ideally including hands-on experience with Weights & Biases (Models and/or Weave), in a customer-facing or deal-shaping capacity
• Deep working knowledge of the ML development lifecycle: experiment management, hyperparameter optimization, dataset versioning, model evaluation, and the operational patterns that govern how models move from research to production
• Strong familiarity with LLM application development patterns including prompt engineering workflows, RAG pipelines, agent evaluation, and the observability requirements that emerge when LLMs are deployed in production (with specific knowledge of tools like W&B Weave, LangSmith, or similar)
• Experience working with enterprise ML platform teams on model governance, audit requirements, and the organizational challenges of scaling AI development across multiple teams and projects
• Ability to benchmark, explain, and commercially position developer tooling capabilities (experiment reproducibility, trace depth, evaluation coverage) against customer MLOps maturity requirements
• Familiarity with the broader MLOps ecosystem (MLflow, DVC, Kubeflow, Ray) and how Weights & Biases products differentiate within it
• Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk
• You love translating boardroom goals into technical reality: you can explain high-level AI strategy and low-level MLOps workflow challenges in the same meeting
• You love acting as the bridge: between high-level sales strategy and the day-to-day realities of ML engineering teams
• You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum

Desirable

• CoreWeave is rapidly expanding beyond raw compute into the developer experience layer that makes AI teams productive at scale, and those new services need someone to bring them to market
• As a Principal Solution Specialist for AI Developer Services, you open new market opportunities for CoreWeave's developer tooling and drive its initial adoption with the first customers and industries to put it to work
• You feed what you learn directly into the product roadmap, and you equip the wider sales and solution architecture teams to articulate the value of these services to new audiences
• About the role: As a Principal Solution Specialist for AI Developer Services, you sit at the front edge of CoreWeave's expansion into the tools that live between GPU infrastructure and production AI
• This is a market-creation role: you take newly launched developer services into accounts where developer velocity, model governance, and application observability are becoming buying criteria, win the first customers, and build the repeatable narratives and playbooks the rest of the field uses to scale
• You are the connective tissue between early customers and the engineering and Weights & Biases teams, turning field insight into the requirements that shape the AI Developer Services roadmap
• Own the commercial and technical strategy for net new customer wins in AI developer tooling, where experiment reproducibility, model lifecycle governance, and LLM application observability are the primary buying triggers
• Drive new business opportunities where missing experiment tracking infrastructure, model versioning gaps, or LLM observability blind spots are barriers to scaling AI development on CoreWeave
• Build deep expertise across the AI developer tooling landscape (MLOps platforms, model registries, evaluation frameworks, and LLM tracing infrastructure), using Weights & Biases Models and Weave as flagship examples of what best-in-class developer services look like on CoreWeave
• Translate customer requirements around experiment management, dataset versioning, model promotion workflows, and LLM trace analysis into specific product feedback that shapes the AI Developer Services roadmap
• Develop deal structures, technical playbooks, and capability narratives that help sales and SA teams accelerate opportunities where developer experience and MLOps maturity are key evaluation criteria
• Engage directly with ML engineering leads, platform teams, and AI application developers as the authoritative voice on model lifecycle best practices, LLM evaluation strategies, and the tooling decisions that separate ad hoc AI development from governed, production-scale ML organizations
• Design the commercial framework for AI developer services deals, including platform seat modeling, usage-based pricing structures, and enterprise integration requirements, to support large-scale closings
• Partner with product, engineering, and Weights & Biases teams to maintain a competitive edge on developer experience, workflow integration depth, and observability capabilities across active and prospective customer deployments