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