Director, Engineering- Software

Annual Bonus and RSUs
CoreWeave, the AI Hyperscaler, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeaves industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, were setting a new standard for how AI is built, trained, and scaled.
From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, were combining forces to serve the full AI lifecycle all in one seamless platform.
Weights & Biases has long been trusted by over 1,500 organizations including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.
As we unite under one vision, were looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
At Weights & Biases, our Platform Engineering organization is at the heart of our model training infrastructurepowering the tools and systems used by ML practitioners to build, train, and scale cutting-edge models. As Director of Engineering, Platform, youll lead a number of mission-critical teams:
The Metrics Team, responsible for building high-performance APIs to ingest and query training metrics, logs, files, and artifacts that are central to model development.
The Identity Team, which secures our platform through authentication, authorization, and audit capabilities critical to enterprise-grade ML workflows.
The SDK Team, which provides scalable, portable, and developer-friendly client libraries to integrate seamlessly into training pipelines and ML stacks.
The Billing Engineering Team, which ensures accurate usage metering, entitlement enforcement, and seamless integration with pricing and payment systems.
Your work will enable our product and ML infrastructure teams to move faster, while ensuring reliability, scalability, and security across all layers of the platform.
10+ years of experience in software engineering, with 3+ years in a senior engineering leadership role.
~ Experience building and leading teams focused on platform engineering, infrastructure, or backend systems in a cloud-native SaaS environment.
~ Deep technical expertise in building scalable APIs, SDKs, or core services used in production environments.
~ Strong understanding of model training workflows or ML infrastructure and how platform engineering supports ML velocity.
~ Experience designing metering systems, entitlement enforcement, and billing infrastructure.
~ Track record of hiring and mentoring senior engineers and engineering managers across diverse technical domains.

Prior experience at a company delivering ML platforms or developer tools.
Familiarity with ML training frameworks (e.g., Experience with platform reliability, observability, and developer tooling for high-scale systems.
Knowledge of billing systems such as Stripe or usage-based pricing infrastructure.
Full-time
Software Development
Medical insurance
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