Google Cloud Platform (GCP), Keras software library, Linux Operating system, Machine learning techniques, MLOps tools, PyTorch, SaaS, TensorFlow, Unix Operating system, XGBoost
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
As the Manager of Customer Success Machine Learning Engineers, you will play a pivotal role in leading and managing our global team of Success Machine Learning Engineers. Reporting directly to the VP of Customer Success, you will be responsible for developing and executing strategies to enhance the success of our customers in utilizing our ML tools. This role involves collaborating with the most sophisticated ML teams across various industries, ensuring the seamless integration of our tools into their workflows.
The team you will be leading is a team of senior machine learning engineers that are working with customers to help them be successful with Weights and Biases. The type of activities this team is responsible for can be divided into two specializations: 1. Pre-sales specialization which primarily includes technical qualification and discovery, technical demonstration of the product, and ensuring conversion of prospect to customer relationship through successful execution of proof of concepts. 2. Post-sales specialization which primarily includes customer onboarding and adoption of W&B into customer workflows.
As the leader of this team, a high proficiency in technical engagements with customers, specifically in Machine Learning Engineering and MLOps, is essential. Depending on your background and suitability, you will be tasked with creating efficient processes and enablement content to support either the pre-sales or post-sales specialist team.
Your responsibilities include driving career growth for the team and hiring strong performers to ensure the successful outcomes your team is accountable for. This role is highly visible and influential, both within the organization in terms of driving product roadmap, as well as senior customer executives to build strong thought leadership and partnership with W&B. The ideal candidate should be comfortable with executive communication, presentation, and cross-team collaboration.
Responsibilities
Requirements
Why join us
Our Benefits
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
2-4 year