Principal Solution Specialist, AI Developer Services

Core Weave is The Essential Cloud for AI. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.

Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at

What You'll Do:

Core Weave 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 Core Weave'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 Core Weave'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.

In this role, you will:

* 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 Core Weave.

* 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 Core Weave.

* 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.

Who You Are:

* 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, Lang Smith, 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.

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