IT Manager, Weights & Biases
$166-228k
+ Equity
2+ days a week in office (Mission District, SF)
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$166-228k
+ Equity
2+ days a week in office (Mission District, SF)
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- If you enjoy working on small engineering teams and thrive in an autonomous environment, we encourage you to apply
- 4+ years in an IT engineering, infrastructure operations, or systems architecture role
- Someone who can come into our office at least twice a week in the Mission district of San Francisco
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent preferred but not required
- Experience building corporate IT knowledge bases, developing policy and procedure, and identifying areas to mature IT capabilities
- Experience working at a small to medium scale technology startup environment with remote support
- Experience with fleet management–we have primarily a Mac-based environment
- Highly organized and detail-oriented, with strong analytical, problem solving, project management skills, and strong ability to prioritize
- In-depth practical knowledge, troubleshooting and administration of commonly used SaaS applications. At W&B this would include Google Workspace, Okta, Slack, JIRA, Salesforce, Mode Analytics, Kandji, Sentinel One, etc
What the job involves
- Reporting to the Founder and CISO, the IT Manager will build, define, and support day-to-day operations of our IT function
- You will be the go-to person for configuring our IT infrastructure, SaaS systems, workstations, and help desk
- You will directly empower all employees with the tools, resources, and access to effectively and efficiently do their work
- The role will be an individual contributor with an opportunity to help grow the team
- We’re a remote-first company and are implementing the Zero Trust Security pattern across our IT services
- W&B has achieved a SOC2 Type2 attestation and performs annual audits to remain in compliance
- The IT Manager will partner closely with the security team to automate strong security processes as much as possible
- Build out and manage our IT Operations and Helpdesk support efforts, making sure all desktop applications, workstations, and related equipment problems are resolved in a timely manner with limited disruptions
- Work with our PeopleOps team to ensure smooth onboarding/offboarding for employees from hardware/software to training. Create and implement a plan to mature our IT capabilities and help drive the adoption of technology and good practices for business requirements
- Management and ownership of all software and hardware license renewals with an emphasis on data security and cost effectiveness
- Develop and implement security policies and Internal IT audits. Track and manage compliance activities collaborating closely with the security team
- Monitor performance of information technology systems to determine cost and productivity levels and to make recommendations for improving the IT infrastructure
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
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 values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
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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