Manager – Customer Success Machine Learning Engineers
US, Remote
Confirmed live in the last 24 hours
Weight & Biases

201-500 employees

Developer MLOps & visualization platform
Company Overview
Weight & Biases’ mission is to build the best tool for machine learning with their advanced platform that allows models to be built faster with experiment tracking, dataset versioning, and model management. The company is committed to helping machine learning developers in a variety of use cases with their tools that easily integrate and give metrics and visualizations.
Data & Analytics
B2B

Company Stage

Series C

Total Funding

$250M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

67%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Sales
Communications
Tensorflow
Keras
Pytorch
AWS
Marketing
Linux/Unix
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Customer Success & Support
Sales & Account Management
Customer Success Management
Strategic Account Management
Requirements
  • 5+ years of relevant experience in machine learning engineering or a similar role.
  • 1-3 years of managing a team of machine learning engineers, data scientists or a similar role; Strong plus if the team was customer-facing
  • 2-3 years of experience in customer-facing roles such as solution engineers, consulting, sales engineering etc. or experience as an ML educator and/or conducting customer training sessions, product demos, and workshops at a SaaS company
  • Strong proficiency in Python and experience with TensorFlow/Keras, PyTorch Lightning, and other relevant ML packages.
  • Excellent communication and presentation skills, both written and verbal.
  • Experience with cloud platforms (AWS, GCP, Azure) and Linux/Unix.
  • Strong Plus: Proficiency with additional ML packages (HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray).
  • Strong Plus: Experience with MLOps and Cloud tools.
Responsibilities
  • Lead and manage a global team of senior machine learning engineers - including building hiring plans, career growth plans, individual and team-level coaching
  • Build processes and enablement content for the team so that they can effectively drive customer outcomes, either in the pre-sales specialization (i.e technical demonstration, prospect qualification, and proof of value execution), or post-sales specialization (i.e. customer onboarding, driving adoption and maximizing value for the customer, professional services etc.)
  • Be the voice of the customer, who are some of the most sophisticated ML engineers in the world, within W&B and influence product/R&D roadmap through aggregated product feedback collected by the team from different prospects and customers
  • Build a staffing model to support customer-facing requests as well as various cross-functional requests such as presenting in events, webinars, product marketing content generation, partnerships, delivering training etc.
  • Participate with other customer-facing teams to drive efficient forecasting of revenue indicators