Engineering Manager, Workspaces - US (Remote)

What you’ll achieve:

• Collaborate with Product Managers, Designers, and other stakeholders to define product requirements, scope, and milestones.
• Drive the development of key product features, such as baseline run comparison, customizable sharing/reporting experience, and full fidelity charts.
• Provide technical guidance and mentorship to the team, ensuring high-quality code, architectural integrity, and scalability.
• Work closely with customers to gather feedback, understand pain points, and iterate on the product roadmap.
• Mentor and provide feedback to Engineers on the team, fostering a culture of collaboration, innovation, and continuous learning.

What we’re looking for:

• Proven experience (5+ years) in Software Engineering, with a strong background in building and delivering complex software products.
• Previous experience (1+ years) in a leadership or managerial role, with a track record of effectively managing and growing engineering teams.
• Excellent communication and interpersonal skills, with the ability to collaborate across functions and present technical information to non-technical stakeholders.
• Willingness and ability to communicate directly with users, understand their workflows, and summarize their feedback for your team.

Nice to haves:

• Previous experience building ML based products or building tools for ML teams.
• Experience leading a team in a start up environment and dealing with urgent and ambiguous requests.
• Experience using or working with experiment tracking tools such as Tensorboard.
• Deep technical expertises on data visualization and performant web applications.

Why join us?

• Researchers at OpenAI, Toyota Research Institute, Pandora, SFDC, Lyft and other top-tier institutions use and love our current product.
• You'll never stop learning. Our engineering team consists of top talent from Google, Waymo, Twitter, Stripe and Segment.
• We have extensive experience working with companies to turn machine learning research projects into scalable, real-world deployments. We’ve watched hundreds of teams struggle to deploy machine learning models successfully, and the same problems show up repeatedly. Machine learning has created a fundamentally new kind of programming, requiring a fundamentally new set of developer tools. We created Weights & Biases to provide that missing toolkit.
• We have an experienced founding team including the founders of CrowdFlower (now Figure Eight), a successful startup in the machine learning space.
• Don't just just take it from us, here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows us to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."
• Our stack: React, Typescript, GraphQL, Python, Golang, Kubernetes, Google Cloud Platform, Amazon Web Services.

Our Benefits:

• 🏝️ Flexible time off
• 🩺 Medical, Dental, and Vision for employees and Family Coverage
• 💵 Home office budget with a new high-powered laptop
• 🥇 Truly competitive salary and equity
• 🚼 12 weeks of Parental leave (U.S. specific)
• 📈 401(k) (U.S. specific)
• Supplemental benefits may be available depending on your location