Director of Engineering, Weights & Biases

• If you're excited about building platform infrastructure that supports cutting-edge ML workloads at scale, we’d love to talk
• 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
• Familiarity with authentication protocols (e.g., OIDC, OAuth2), identity architecture, and audit requirements for enterprise security
• Experience designing metering systems, entitlements enforcement, and billing infrastructure
• Track record of hiring and mentoring senior engineers and EMs across diverse technical domains
• You love designing infrastructure that makes it easier for teams to train, track, and scale ML models
• You’re curious about how platform abstractions accelerate research and model development
• You’re an expert in building developer platforms that serve both internal teams and a global user base

Desirable

• At Weights & Biases, our Platform Engineering organization is at the heart of our model training infrastructure—powering the tools and systems used by ML practitioners to build, train, and scale cutting-edge models
• 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
• This is a high-impact leadership role focused on scaling the core services that power Weights & Biases’ model training platform
• You’ll drive strategy and execution across four cross-functional engineering teams, partnering closely with product, infrastructure, and customer-facing teams
• You'll influence architectural direction, evolve our developer experience, and ensure the underlying systems that support model tracking, identity, and monetization are built to scale with our user base—from individual practitioners to Fortune 500 ML teams