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Weights & Biases · 13 hours ago

Staff Product Manager, Platform- Weights & Biases

Sunnyvale, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$188K/yr - $257K/yr

7+ years exp

Weights & Biases, part of CoreWeave, is focused on creating a powerful end-to-end platform for AI development. The Staff Product Manager will be pivotal in scaling and evolving the foundational systems of the machine learning infrastructure, driving initiatives to enhance developer experience and platform reliability.

Artificial Intelligence (AI)Data VisualizationDeveloper ToolsGenerative AIMachine Learning

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Drive execution across a range of mission-critical initiatives for our customers that drive the developer experience

Orchestrate projects that require deep coordination and clarity across multiple disciplines

Improve internal tooling to boost developer productivity

Roll out changes that ease the deployment process

Drive platform reliability and strengthen our security posture

Improve how our customers set up and manage their W&B experience

Lead the execution of platform initiatives end-to-end, collaborating cross-functionally to align on priorities and dependencies across multiple teams

Make intentional trade-offs to balance performance, reliability, compliance, and velocity, driving scalability and developer efficiency at the highest quality

Elevate developer experiences through streamlined workflows and intuitive tooling for ML practitioners, while using metrics and customer insights to guide every stage from requirements through launch

Coordinate with stakeholders, engineering teams, and customers to ensure transparency and alignment throughout each initiative

Qualification

Platform infrastructureTechnical fluencyCross-functional leadershipCloud infrastructureML developer toolingIdentity & access managementCustomer empathyExecution focusCommunication skills

Required

Experienced product manager with at least 7+ years working on platform infrastructure, or enterprise systems

Proven ability to work across multiple domains — ideally cloud based infrastructure, developer tooling, or distributed systems

Comfortable discussing APIs, architecture diagrams, deployment models, identity protocols, and platform trade‑offs with engineers

Skilled at aligning diverse teams, setting priorities, and balancing technical constraints with business objectives

Deeply curious about customer pain points — both external ML practitioners, IT admins, and internal developers — motivated to deliver solutions that make their workflows seamless

Thrives in ambiguity, builds clarity out of complexity, has a high attention to detail, and consistently drives initiatives from concept through delivery