Manager – Customer Success Engineering
AI/ML
Updated on 2/13/2024
DigitalOcean

1,001-5,000 employees

Cloud-based app deployment platform
Company Overview
DigitalOcean's mission is to build the software that operates and maintains the best cloud for developers. DigitalOcean simplifies cloud computing so developers and businesses can spend more time building software that changes the world.

Company Stage

N/A

Total Funding

$1.6B

Founded

2012

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

11%

1 year growth

23%

2 year growth

72%
Locations
Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Tensorflow
CUDA
Git
Keras
Pytorch
Docker
Linux/Unix
CategoriesNew
AI & Machine Learning
Requirements
  • At least 2 years minimum, of job related management experience leading customer-facing technical teams
  • Experience in production deployments of machine learning
  • Experience in developing and training models (e.g., Tensorflow, Keras, PyTorch)
  • Experience working with cloud infrastructure
  • Experience working with Linux, Docker, Git, GPUs, and CUDA
  • Able to debug production issues in unknown environments spanning infrastructure to AI/ML code
  • Empathy for customers' goals and understanding how we can add value
  • Hands-on, able to code, and document to come up with sustainable solutions
  • Can explain complex technical concepts to all audiences
  • Learn quickly and stay up to date on the latest industry trends and tools
Responsibilities
  • Managing customer success metrics and ensuring customer satisfaction
  • Managing a team that provides timely support and creating efficient processes
  • Building a team and a culture of excellence
  • Understanding customers’ needs and goals and help them be successful on Paperspace
  • Helping customers post-sales to get their workloads up and running
  • Supporting customers with their technical, architecture, or performance issues
  • Advising and inform customers on best practices for building and deploying models
  • Debugging infrastructure issues related to machine learning such as networking and storage
  • Writing playbooks/reusable code to grow a knowledge base to create reusable processes
  • Building relationships with customers to keep in touch with their business and technical needs and ensure they can continue to grow
  • Sharing customer insights and trends with the product team to inform and improve the product offering
Desired Qualifications
  • Works well cross functionally, make the appropriate tradeoffs, and able to communicate effectively