Senior Manager, Platform Services- Weights & Biases

Weights and Biases
Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA / Remote, US$188k – $275kPosted 20 March 2026

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: You will be a primary driver of platform-wide performance and scaling initiatives. Own the Scaling Strategy: Architect and execute a roadmap that balances high-velocity data ingestion with high-performance visualization. You will ensure the platform remains stable as we scale to support thousands of concurrent ML runs and billions of data points. Drive Cross-Functional Performance: Act as a performance "ambassador" across the organization. You will work across team and department boundaries to identify bottlenecks in the data path, from the SDK level through the API to the final chart render. Evolve Core Infrastructure: Lead the team responsible for WB’s shared backend logic and internal tooling. You will own the schema definitions and code-generation workflows that ensure consistency and type-safety across all microservices. Optimize the SDK Experience: Oversee the development of our client-side libraries to ensure they capture rich GPU telemetry and metrics with zero-to-minimal impact on the performance of the user’s training experiment. Mentor and Grow Engineers: Manage and coach a high-caliber team of backend and systems engineers. You will foster a culture of operational excellence, emphasizing that "features are not complete until they are performant." About the role: This is a high-visibility leadership role responsible for the technical foundation of Weights Biases. You will manage the critical path between model training and data visualization, ensuring the platform scales to meet the demands of the world's largest AI labs. Your mission is to drive a performance-first culture across the organization. You will be expected to move beyond your immediate reports, exercising cross-organizational influence to ensure that every architectural decision—from SDK telemetry capture to backend API design—prioritizes system efficiency and "time-to-glass" for the user. Who You Are: Experienced Leader: 10+ years of software engineering experience, with 3+ years in a management role leading teams focused on high scale systems. Technical Depth: You have a deep understanding of backend systems, API design (REST/GraphQL/gRPC), and high-throughput data ingestion. Performance-Obsessed: You understand the nuances of system bottlenecks (CPU, memory, I/O) and have experience driving performance improvements that impact end-user experience. ... (truncated, view full listing at source)
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