Responsibilities:
- Deployment & Operations:
- 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.
- Debugging & Troubleshooting:
- 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.
- Customer Engagement:
- 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.
Requirements:
- Based in the Pacific Standard Time (PST) timezone.
- 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.
Strong plus
- Deep proficiency in Kubernetes design patterns, including Operators.
- Familiarity with data engineering and MLOps tooling.
- Experience as an educator or facilitator for technical training sessions, workshops, or demos.
- SaaS, web service, or distributed systems operations experience.
Our Benefits:
- ποΈ Flexible time off
- π©Ί Medical, Dental, and Vision for employees and Family Coverage
- π Remote first culture with in-office flexibility in San Francisco
- π΅ Home office budget with a new high-powered laptop
- π₯ Truly competitive salary and equity
- πΌ 12 weeks of Parental leave (U.S. specific)
- π 401(k) (U.S. specific)
- Supplemental benefits may be available depending on your location
- Explore benefits by country
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