About this role

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at www.coreweave.com . What You’ll Do: As a Senior Engineering Manager for the AI/ML Platform team, you will lead the group responsible for productizing and operating our inference offering. In partnership with CoreWeave AI platform team, you will ensure the service becomes a polished, reliable, developer-friendly product within the AI/ML Platform. You will guide engineers working on areas such as service reliability, observability, operational excellence, packaging, developer-facing tooling, and application-layer enhancements.

You will partner closely with Product, CoreWeave engineering teams, Design, Support, and GTM stakeholders to ensure the inference experience meets the needs of practitioners deploying and scaling real-world AI workloads. Your work will directly support end-users, as well as other products powered by this service, like W&B Training. You will combine strong engineering leadership with clarity in execution, helping the team deliver improvements that raise reliability, accelerate development workflows, and strengthen the overall inference experience for W&B users.

Responsibilities Lead and grow the engineering team responsible for evolving and operating the W&B Inference product, focusing on service reliability, orchestration, operational maturity, and developer experience. Drive execution on roadmap initiatives in close partnership with Product, ensuring that platform capabilities are delivered predictably, robustly, and with measurable customer impact. Own the engineering processes for the inference productization layer, including incident response, operational readiness, release management, observability, and engineering quality.

Partner with CoreWeave’s infrastructure teams to integrate capabilities from the underlying inference platform into a cohesive, user-facing product. Guide the design and delivery of application-layer enhancements such as tracing and tool call handling. Ensure the inference offering meets high standards of reliability, usability, compliance, and performance, balancing trade-offs across cost, operational load, and architectural constraints.

Create clarity in complex, cross-functional environments, ensuring strong communication, aligned priorities, and smooth execution across multiple teams. Build a culture of ownership, technical excellence, and continuous improvement within the engineering team. Who You Are: 7+ years of experience in software engineering, including 3+ years managing or leading engineering teams responsible for distributed systems, developer platforms, or large-scale services.

Fluent in concepts related to distributed compute services, including observability, autoscaling patterns, reliability engineering, API design, and service operations. Comfortable with competing priorities and making principled trade-offs among latency, reliability, cost, and development velocity. Skilled at leading engineering teams through ambiguous, multi-stakeholder projects with strong communication and alignment.

Deep empathy for ML practitioners and platform developers, with a drive to improve reliability, reduce friction, and elevate the developer experience. Preferred Background in high-scale systems, real-time APIs, or cloud infrastructure, ideally with exposure to model-serving or inference-adjacent domains. Background in related platform domains such as IAM, billing/metering, observability systems, or deployment tooling.

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 to build frictionless products for developers You’re curious about AI and MLOps tooling You’re an expert in building inference systems that scale for production workloads 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 USD 188,000 to USD 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 vari

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