Engineering Manager, Weights & Biases

• Proven experience (5+ years) in software engineering, with a strong background in building and delivering complex software products
• Previous experience (2+ years) in a leadership or managerial role, with a track record of effectively managing and growing engineering teams
• Previous experience building ML based products or building tools for ML teams
• Deep technical expertise in areas such as high performance computing, model deployment, and data management
• Excellent communication and interpersonal skills, with the ability to collaborate across functions and present technical information to non-technical stakeholders

• We are hiring an engineering manager to lead the development of our next-generation enterprise-grade model and data management product. In this role, you will be responsible for building and overseeing a team of talented engineers, guiding architectural decisions, and working closely with the product team to make sure we build the most critical features for our customers
• Collaborate with product managers, designers, and other stakeholders to define product requirements, scope, and milestones
• Drive the development of key product features, such as fine-grain access control mechanisms, workflow automations, and scaling performance limitations
• 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

• 🏝️ Unlimited vacation time
• 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
• 🏠 Remote first culture with in-office flexibility in San Francisco
• 💵 $500 home office budget with new high-powered laptop
• 🥇 Truly competitive salary and equity
• 🚼 12 weeks of Parental leave
• 📈 401(k)

Total funding: $250m

Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.