CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform for AI development and deployment. 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 CoreWeave's industry-leading cloud infrastructure with the best-in-class tools ML practitioners know and love from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters and inference at scale, we're combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,000 organizations — including OpenAI, NVIDIA, Microsoft, and Toyota — to build better models. 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, we're 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 machine learning, there's never been a more exciting time to join our team.

About the Role:

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. As Director of Engineering, Platform, you'll lead a number of mission-critical teams such as:

• 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.

Who You Are:

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. 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

Preferred: (if applicable)

• Prior experience at a company delivering ML platforms or developer tools
• Familiarity with ML training frameworks (e.g., PyTorch, TensorFlow) and their integration needs
• Experience with platform reliability, observability, and developer tooling for high-scale systems
• Knowledge of billing systems such as Stripe or usage-based pricing infrastructure
• Exposure to enterprise compliance frameworks like SOC2, GDPR, or ISO 27001

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 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

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA)**, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com*.*

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.