Staff Product Manager, Sweeps and Launch- Weights & Biases

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 As a Staff Product Manager for Launch and Sweeps at Weights Biases, you'll own two foundational product areas that power how deep learning practitioners scale their work. WB Launch enables teams to scale experiments from a workstation to massive clusters—whether that's spinning up large distributed training runs or executing complex evaluation pipelines that feed signals back into the training process. WB Sweeps automates and advises on hyperparameter search, helping practitioners find optimal model configurations through grid, random, and Bayesian search methods. Together, these products support the workflows that matter most to teams training large models: seamlessly scaling up compute, running complex evals, and efficiently exploring the frontier of model performance. You'll be responsible for driving the product vision and execution for these offerings, ensuring teams training large models can design sweeps, control their exploration of the hyperparameter search space, package reproducible jobs, and orchestrate training and evaluation at scale. If you're energized by solving infrastructure challenges that directly accelerate deep learning workflows, collaborating with the world’s best AI teams, and delivering tools that move the industry frontier forward, his role is for you. About the Role Own the Launch and Sweeps product roadmap , defining how AI researchers discover optimal hyperparameters, scale their training and eval jobs, and prepare models for inference. Collaborate deeply with customers and deep learning practitioners to understand pain points around job orchestration, distributed training, LLM evaluation workflows, compute resource management, and hyperparameter optimization—then translate those insights into product improvements. Drive execution across cross-functional teams , coordinating with engineering, design, platform infrastructure, and go-to-market to rapidly ship capabilities users love. Prioritize with intention , making trade-offs across performance, reliability, scalability, and developer velocity to ensure Launch and Sweeps deliver value to the most discerning customers in the industry. Elevate the developer experience by streamlining workflows for creating Launch jobs, configuring sweep strategies, visualizing hyperparameter impact and exploration, and parallelizing agents across compute clusters ... (truncated, view full listing at source)