Manager of Global Solution Architecture, Weights & Biases

Customer Platform Engineering, EST

$178-243k

+ Variable compensation in the form of a bonus or commission component + Equity

Docker

Kubernetes

Python

Bash

Terraform

ELK

Ansible

Prometheus

Grafana

Senior and Expert level

New York

Remote from US

‍MLOps platform for developers

Be an early applicant

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Be an early applicant

$178-243k

+ Variable compensation in the form of a bonus or commission component + Equity

Docker

Kubernetes

Python

Bash

Terraform

ELK

Ansible

Prometheus

Grafana

Senior and Expert level

New York

Remote from US

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

Weights & Biases's mission is to build the best tools for machine learning.

Job

Company

Role

Who you are

This role requires a strong technical background, leadership capabilities, and a deep understanding of deployment automation and reliability engineering
7+ years of experience in SRE, DevOps, or Solutions Architecture roles, with at least 2+ years in a managerial or leadership capacity
Strong background in managing on-premise and customer-managed deployments at scale
Proficiency in infrastructure as code (Terraform, Ansible, or similar tools) and CI/CD automation
Experience with Kubernetes, Docker, and cloud/on-prem hybrid architectures
Expertise in monitoring, logging, and alerting tools (Prometheus, Grafana, ELK, etc.)
Strong scripting and programming skills (Python, Go, Bash, etc.)
Experience with security and compliance considerations in enterprise software deployments
Excellent communication and stakeholder management skills, with the ability to influence technical and business decisions
Experience working in SaaS and enterprise environments is a plus

What the job involves

We are seeking a highly skilled and experienced SA/SRE (Solutions Architect / Site Reliability Engineering) Manager to lead our efforts in managing customer-managed deployments, improving on-premise deployments, streamlining upgrades, and building scalable systems and processes through automation
Lead and manage a team of SA engineers focused on supporting and scaling customer-managed and on-premise deployments
Design, implement, and enhance deployment architectures to improve reliability, scalability, and security
Develop and optimize upgrade processes to minimize downtime and operational risk
Build and maintain automation frameworks to streamline deployment, monitoring, and incident management
Collaborate closely with product and engineering teams to enhance software deliverability and maintainability for on-premise environments
Establish and enforce best practices for configuration management, infrastructure as code (IaC), and CI/CD pipelines
Lead incident response and root cause analysis for critical production issues, ensuring continuous improvement and proactive problem prevention
Drive a culture of operational excellence, automation, and continuous improvement across the organization
Customer empathy is vital and timely communication with customer stakeholders

Our take

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.

The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.

The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 5 rounds)

Aug 2023

$50m

LATE VC

Oct 2021

$135m

SERIES C

Total funding: $250m

Company benefits

🏝️ 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)

Company HQ

SoMa, San Francisco, CA

Leadership

Chris Van Pelt

(CISO)

Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).

Lukas Biewald

(CEO)

Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).

Shawn Lewis

(CTO)

Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.

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