Engineering Manager, Weave - W&B

Weights & Biases; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Weights & Biases, now part of CoreWeave, seeks an Engineering Manager for the Enterprise team in the SF Bay Area. You will lead a team of engineers responsible for Weave’s availability, readiness, and compliance for enterprise customers, while partnering with leadership and sales to align customer needs with the roadmap.

You will own end-to-end delivery, performance metrics, and operational health across large-scale deployments, including single-tenant and on-prem environments, with a focus on

Qualifications

• Experience leading engineering teams shipping enterprise software at scale.
• Proven track record with single-tenant and on-prem deployments, data stores, and security/compliance needs.
• Strong ownership, delivery, and operational health focus across production services.

Responsibilities

• Lead and mentor a team of full-stack and infrastructure engineers for Weave’s Enterprise customers.
• Own technical direction, delivery, and health of the team’s systems and deployments.
• Collaborate with sales and leadership to align customer needs with product and roadmap.
• Drive roadmap, execution, hiring, and foster an excellence culture.

Skills

Engineering management

Software engineering

Customer-facing

Enterprise software

Single-tenant

On-prem deployments

SLA/SLOs

AI observability

Sales collaboration

End-to-end delivery

Ownership

Communication

Education

Bachelor's degree in Computer Science

Tools

ClickHouse

Kafka

Kubernetes

Job description

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 CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI 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, agent building, 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 1,500 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, 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 AI, there's never been a more exciting time to join our team.

What You’ll Do

The AI Development Platform organization at CoreWeave owns all commercial products and services enabling faster and more efficient development of AI models, agents, and applications. W&B Weave is a leading AI observability platform used by a broad set of customers across start‑ups and enterprises to trace, monitor, and evaluate their AI agents throughout development and production deployments. AI development is the backbone of CoreWeave’s AI loop strategy.

The Weave team owns the design, implementation, and operation of its high‑scale agent tracing services, offline evaluation APIs, and online monitoring capabilities to automatically detect and annotate agent failures.

Within the Weave team, we are building an Enterprise team aimed at optimizing the product for large enterprise customers with specific requirements around scalability, governance, and compliance.

About The Role

As an Engineering Manager on Weave’s Enterprise team, you will lead a team of full‑stack and infrastructure engineers responsible for Weave’s availability, readiness, and compliance for Weave’s Enterprise customers.

You will own technical direction, delivery, and operational health for your team, partnering closely with Weave leadership and CoreWeave’s Sales Organization to maintain a close feedback loop with customers.

In This Role, You Will

• Lead a team making Weave the best AI observability platform for enterprise customers.
• Optimize Weave for very large scale ingest volumes and data processing across all major cloud platforms
• Partner with the Sales organization to enable new deals and support existing ones
• Monitor and optimize a large set of single-tenant deployments, and support customer-managed deployments.
• Establish and enforce SLAs/SLOs for service availability and data readiness
• Lead the optimization of underlying infrastructure and data storage components for best performance and cost
• Drive roadmap, execution, hiring, and foster a strong culture of excellence
• Hire, coach, mentor and develop team members to achieve culture of excellence
• Report to team leadership on system health, and participate in overall roadmap design
• Participate in on‑call rotations and incident responses

Who You Are

• 1–3 years as an engineering manager with people‑leading responsibilities.
• 6+ years of professional software engineering experience.
• Experience with External facing customers for platform and/or product use.
• Experience leading team shipping enterprise software at scale, including single-tenant and on‑premise deployments, large data stores, compliance, security, and performance constraints.
• Strong grasp of service availability and performance metrics, SLAs/SLOs, incident response protocols
• Understanding of AI observability primitives, workflows, and requirements
• Ability to collaborate with sales organizations and join customer calls
• Experience owning end‑to‑end delivery for production services, including planning, execution, quality, and operational health.
• Strong sense of ownership and ability to drive impact and results
• Strong written and verbal communication skills; able to align engineering, product, finance, and compliance stakeholders around priorities and tradeoffs.
• Bachelor's degree in Computer Science or a related field.
• Located in the San Francisco Bay Area, available to come into the SF office at least a few days a week.

Preferred Experience

• Experience with single‑tenant architecture tradeoffs in a SaaS environment.
• Familiarity with modern data stack technologies such as ClickHouse, Kafka, or Kubernetes for high‑throughput data processing.
• Prior experience in the MLOps or AI observability space, specifically supporting LLM application development workflows.
• Experience working in a fast‑paced startup environment during a period of rapid growth.

Wondering if You’re a Good Fit?

We believe in investing in our people and value candidates who bring diverse experiences—even if you don’t meet every requirement.

You Might Be a Great Fit If

• You care deeply about adoption of cutting edge