Sr. Engineering Manager, Inference

CoreWeave•San Francisco, NY

9d•Onsite

About The Position

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 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.

Requirements

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.

Nice To Haves

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.
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

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.