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Weights & Biases

Solution Architect

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At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

The ideal Solutions Architect will own customer deployments in various cloud infrastructures and/or on-prem reporting to the SA team lead. Helps with debugging when issues arise in the deployments and articulates best practices for using W&B effectively.

The Solutions Architect will partner closely with Support, Product, and Engineering teams internally to influence product roadmap based on customer feedback.


  • Work with our customer’s operations team to provision W&B services in their private cloud and on-prem environments.
  • Work through a multitude of complex infrastructure implementations partnering with highly skilled client-engineers.
  • Debug customer installations when things aren’t working properly.
  • Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML-heavy engineering teams using Weights & Biases tools.
  • Effectively articulate best practices for instrumenting machine learning pipelines to our customers as a trusted advisor.
  • Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of W&B in solving their problem.
  • Provide customer training sessions, product demos, and workshops covering best practices & different solutions W&B offers to drive adoption.
  • Partner with Customer Success Managers to create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
  • Collaborate closely with Support, Product and Engineering teams to influence product roadmap based on customer feedback.
  • Partner with sales engineering team to ensure there’s a smooth transition from POC to when a new customer is onboarded.


  • A track record of systematically documenting issue in debugging process to reduce the time to solve future implementations.
  • Hands-on experience with Docker, Kubernetes, networking and cloud managed services such as MySQL and Object Stores.
  • Strong fundamentals of using IaC tools preferably Terraform
  • Experience with one or more cloud platforms (ex: AWS, GCP, Azure).
  • SaaS, Web service / distributed system operations experience.
  • Basic proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful.
  • Strong Linux/Unix command line experience.
  • Excellent communication and presentation skills, both written and verbal.
  • Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment.
  • Ability to break down complex problems and resolve them through customer consultation and execution.

Our Benefits

  • 🏝️ Flexible time off
  • 🩺 Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture
  • 💵 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

We encourage you to apply even if your experience doesn’t perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].

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