Engagement Manager – Customer Success
| Company | Scaled Foundations |
|---|---|
| Location | Redmond, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science or relevant technical field, or equivalent practical experience.
- 5-10+ years of full-time project or customer management.
- Familiar with game-based development engines (Unity/Unreal), and/or Omniverse, and a variety of other content creation tools.
- Familiar with scenery creation within a game engine (both geo-specific and fictional environments), and implementation of in-game actors to include animations and physics.
- Knowledge of Cloud deployment for Azure, AWS, Oracle, or Google Cloud.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Responsibilities
- Lead the deployment of GRID to enterprise customers, enabling a robust and scalable development platform for robotics hosted either locally, on customer’s cloud, or on a Scaled Foundations cloud instance as a managed service for the customer.
- Interact with customer leadership and technical teams to capture and validate requirements, and create solutions around custom robotic forms and synthetic environments for simulation.
- Collaborate with the internal infrastructure, platform, robot and machine learning teams to ensure seamless integration of frontend and backend components.
- Communicate regularly with Customer teams on current project status as well as product updates.
- Provide feedback to internal development teams of customer inputs for new features and functionality.
- Provide direction to our off-shore Unreal Engine development team as it pertains to custom customer environments.
- Independently drive continuous improvement in performance, scalability, and reliability for the platform which is expected to serve a large user base.
Preferred Qualifications
- Some experience with Linux and/or Python.
- Experience with Kubernetes and enabling scalable services across distributed systems.
- Working knowledge of resources needed for workloads like video streaming, and distributed machine learning inference.
- Hands-on experience with Omniverse, IsaacSim, or Unreal Engine.
- Knowledge of Cesium/Google Earth or other GIS tools and content.
- Experience working with sensitive data and adhering to strict security protocols.