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 software by enterprise customers You enjoy coaching engineers on system design, correctness, and the rigor required for large-scale enterprise requirements You have strong opinions (lightly held) about enterprise software You are comfortable operating amid ambiguity, balancing short-term delivery with long-term architectural investments The base salary range for this role is $182,000.00 - $242,000.00. 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. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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.

Requirements

Must-haves

What You’ll Do
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.
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.
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
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilekubernetesllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness