Customer Success Manager, Weights & Biases
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Minimum of 2 - 4+ years of experience as a Customer Success Manager
- Excellent communication in written and spoken English and German
- Experience at an AI, ML or Data product company
- Experience managing renewals and upsell
- Proven success of consistently hitting and exceeding KPI goals in a customer success team or similar role
- Proven success with renewing and growing customer base
- Entrepreneurial mentality - self-starter with a strong desire to learn and grow
- Experience selling to VP or C-level executives
- Interest in working at a hyper-growth startup in a quickly innovating space
- Strong negotiation and closing skills
What the job involves
- Manage the onboarding of new customers with one of our Success ML Engineers and ensure a successful handoff from sales
- Monitor customer health and take corrective action when a decline in engagement is identified
- Drive user adoption through various touchpoints including training, product roadmap sessions, workshops, and developing relationships with several champions & power users
- Forecast Renewal risk to management
- Identify expansion opportunities by monitoring customer product usage, business updates/news, and creating strategic account plans with sales to grow to other teams
- Monitor customer support slack channels and tickets, respond to queries, and work cross-departmentally to resolve problems
- Set up Quarterly Business Reviews (“QBRs”) to assess customer health, collect feedback, and share new and upcoming product features
- Ensure all users at each customer are receiving our communications and updates
- Become an expert user of the product
- Own renewal negotiations for a portion of your customers
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. For deep learning to work, companies must be able to monitor how models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from 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 towards researchers, reducing the need to rerun their training examples. Over time, this will help machine learning technology evolve. 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 enterprise companies like Samsung and Salesforce.
Dependence on machine learning is rising as more businesses use it to handle business tasks. Having raised substantial funding, W&B is moving to further 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
Mission District, San Francisco, CA
Leadership
Chris Van Pelt
(Co-Founder & CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Shawn Lewis
(Co-Founder & CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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