Engineering Manager, Weights & Biases
Delivery Tooling
$224-310k
+ Equity
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$224-310k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Hands-on experience with container orchestration systems, particularly Kubernetes
- Previous management experience leading an engineering team
- Demonstrated track record as a capable senior IC or tech lead
- Strong understanding of the modern software delivery lifecycle (SDLC), including infrastructure automation and release management
- Experience with Infrastructure as Code (IaC) principles and tools
- Deep experience deploying and managing services on at least one major public cloud provider (GCP, AWS, or Azure)
- Proven ability to lead, mentor, and develop engineers and build high-performing, collaborative teams
- Excellent communication and collaboration skills, with a history of working effectively across diverse engineering groups and stakeholders
- Ability to clearly articulate technical concepts, strategies, and trade-offs to both technical and non-technical audiences
Desirable
- Prior experience at companies known for mature internal deployment tooling or developer platforms
- Experience working with or building an SRE team
- Experience managing infrastructure or tooling across multiple cloud environments (AWS, GCP, Azure)
- Experience supporting software delivery for self-hosted or on-premises deployment models
- Familiarity with modern observability tools and practices (monitoring, logging, tracing)
- Experience building internal developer platforms or a strong focus on improving developer experience
- Experience managing infrastructure budgets or optimizing cloud costs
What the job involves
- We are hiring a seasoned engineering manager to lead our Delivery Tooling team, a critical group responsible for building and operating the platform that enables our engineers to ship software quickly, reliably, and safely
- This team owns deployment automation, infrastructure provisioning/monitoring, and release processes that underpin our engineering organization's ability to deliver software to customers in GCP, AWS, Azure, and even self-hosted environments
- Your leadership will directly influence engineering velocity and platform stability
- Lead, manage, and mentor the Delivery Tooling engineering team, fostering a culture of collaboration, technical excellence, and high performance
- Own the strategy, roadmap, and execution for the tools and infrastructure supporting deployment automation, infrastructure provisioning, monitoring, and release processes across all W&B environments
- Drive improvements in engineering velocity, release frequency, and reliability across the entire engineering organization
- Collaborate closely with other engineering teams and stakeholders to understand their needs and ensure the developer platform effectively supports their workflows
- Operate and enhance robust, scalable delivery systems capable of deploying software to multiple public clouds (GCP, AWS, Azure) and self-hosted environments
- Guide the team in making sound technical decisions, balancing speed, quality, and operational cost
- Recruit, hire, and retain talented engineers for the Delivery Tooling team
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
31% employee growth in 12 months
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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