Senior Product Manager (SDK + Metrics & Storage)

What You'll Do

• The W&B SDK is the first touchpoint for most users and a core part of their daily workflow. It enables seamless logging of experiments, visualizations, model artifacts, and more—from any ML framework or environment. Behind the scenes, our storage and metrics systems handle massive volumes of data with speed, reliability, and scale to power those visualizations and experiments. You will set the product direction for the team, guiding the organization to balance short-term deliverables with strategic, long-term improvements.
• Own and evolve the product strategy for the W&B SDK, ensuring it's intuitive, extensible, and loved by developers.
• Partner closely with engineering to design and prioritize improvements to our metrics ingestion, storage, and retrieval systems.
• Define and track success metrics for SDK adoption, reliability, and performance.
• Work with developer advocates, GTM, and support teams to identify pain points, synthesize user feedback, and turn insights into product improvements.
• Collaborate with security and infrastructure teams to ensure our systems scale across enterprise, SaaS, and airgapped deployments.
• This role sits at the heart of W&B’s core value proposition: helping ML practitioners build faster, more reliable models with less friction.

Who You Are

• Have 5+ years of product management experience, ideally with a background in developer tools, SDKs, or technical infrastructure.
• Speak fluently with engineers about APIs, storage tradeoffs, performance bottlenecks, and distributed systems.
• Understand the needs of ML engineers and researchers—or are excited to learn quickly.
• Are passionate about building intuitive tools for highly technical users.
• Take a structured approach to problem solving, but are comfortable navigating ambiguity and moving quickly.
• Passionate about user research, integrating customer feedback, have deep curiosity and obsesses about the end to end developer experience.
• Value clarity, empathy, communication and quality.

Bonus If You

• Have experience working on Python libraries, open source tooling, or metrics systems.
• Have worked on scaling or optimizing storage and ingestion pipelines at high throughput.
• Have familiarity with MySQL, Kubernetes, Terraform, and major cloud providers (e.g., GCP, AWS, Azure).
• Have dabbled in ML workflows and understand the unique needs of experimentation-heavy teams. If you have used W&B before, great!