Weights Engineer Jobs (NOW HIRING)

Job Summary:
CoreWeave is a rapidly growing company that provides essential cloud services for AI. They are seeking a Solution Specialist for AI Developer Services to drive market opportunities and initial adoption of their developer tooling, engaging with early customers and shaping the product roadmap.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Experience driving new business or shaping product strategy in industries with mature ML development practices, such as generative AI product companies, enterprise AI teams, pharmaceutical R&D, or financial services modeling groups.
• Prior background in technical sales, solution consulting, or product management supporting MLOps platform adoption or AI developer tooling decisions.
• Deep understanding of how developer tooling decisions cascade into infrastructure choices, and how positioning W&B Models and Weave as part of a CoreWeave deployment creates durable platform lock-in.
• Advanced degree in Computer Science, Machine Learning, or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy.
Company:
Weights & Biases is a developer-first MLOps platform that builds machine learning performance visualization tools. It is a sub-organization of CoreWeave. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.