Engineering Manager, Workspaces
2 weeks ago
- 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.
- 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.
- 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.
- 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.
- ️ 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
- Explore benefits by country
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