Solutions Architect, Weights & Biases

• A proven track record of systematically diagnosing and resolving infrastructure issues
• Prior experience in a customer-facing technical role
• Expertise with Docker, Kubernetes, Helm charts, networking, and cloud-managed services (e.g., MySQL, Object Stores)
• Strong fundamentals in Infrastructure as Code (IaC), preferably Terraform
• Proficiency with at least one cloud platform (AWS, GCP, Azure); experience with multiple platforms is a plus
• Strong Linux/Unix command line experience
• Basic proficiency in Python and familiarity with ML workflows or tools
• Exceptional communication skills, both written and verbal, with the ability to simplify complex topics for diverse audiences
• Proven ability to prioritize and manage multiple competing tasks in a dynamic environment

Desirable

• The Solutions Architect role at Weights & Biases is a unique hybrid, blending the technical expertise of a Site Reliability Engineer (SRE) with the communication and advisory skills of a Solutions Architect
• In this role, you will focus on all aspects of the Weights & Biases Platform, managing customer deployments across various cloud infrastructures and on-prem environments to ensure scalability, reliability, and operational excellence
• You will work closely with customers to debug issues, provide best practices, and help them unlock the full potential of Weights & Biases
• Additionally, you will produce technical content such as blog posts, documentation updates, and internal enablement material to support the Field Engineering team
• This role requires deep collaboration with Support, Product, and Engineering teams to drive product improvements based on customer insights
• Work with customer operations teams to provision Weights & Biases services in Dedicated Cloud, Private Cloud, and on-prem environments
• Manage complex infrastructure implementations, partnering with highly skilled customer engineers
• Monitor and ensure the reliability, performance, and scalability of customer deployments using SRE best practices
• Diagnose and resolve issues in customer environments, documenting resolutions to accelerate future problem-solving
• Provide hands-on support for containerized and distributed systems using Docker, Kubernetes, and related technologies
• Lead technical discussions with customers, acting as a trusted advisor for infrastructure reliability and operational excellence
• Deliver training sessions, product demos, and workshops to help customers maximize the value of Weights & Biases
• Collaborate with customers to uncover desired outcomes and recommend solutions tailored to their needs
• Enablement & Collaboration:
• Partner with AI Solution Engineers to streamline post-sales processes, including onboarding, adoption, and training
• Collaborate with Sales Engineering to ensure a seamless transition from POC to onboarding
• Provide insights to the Product team based on customer feedback to influence the product roadmap

• 🏝️ 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.