Engineering Manager - Cloud
Runpod · Remote · Remote - USA ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Engineering Manager
- Cloud & AI Infrastructure
- Go, Python, TypeScript
- No visa sponsorship
You will lead a high-impact team responsible for customer-facing features across Runpod’s console, APIs, and developer workflows. This position requires end-to-end ownership of a roadmap area, partnering with Product and Design to guide architecture, execution, and launch.
The ideal candidate combines strong technical depth in Linux or cloud systems with proven engineering management experience. You will drive predictable delivery while fostering a culture of ownership and speed in a global, remote-first organization.
What you'll do
- Lead a team of engineers to ship new functionality and iterate on existing product surfaces
- Translate product strategy into technical plans, milestones, and success metrics
- Drive pragmatic system design ensuring scalability and performance consistency
- Hire, mentor, and develop engineers while setting clear expectations and feedback loops
- Improve automated testing, observability, and release safety for customer-facing systems
- Partner with Product, Program Management, and Infrastructure to coordinate dependencies
- Establish team rituals like sprints and retrospectives to improve cycle time and throughput
- Incorporate user feedback and analytics into prioritization and iteration cycles
What you'll need
- At least 2 years of experience managing high-performance software engineering teams
- 6+ years as a software engineer shipping products used by millions of users
- Strong experience with Linux systems internals or cloud systems engineering
- Proficiency in reviewing and contributing to code in Go, Python, or TypeScript
- Solid understanding of microservices, APIs, eventing, and distributed architectures
- Experience using metrics like cycle time and throughput to improve team flow
- Proven ability to communicate clearly and align stakeholders asynchronously
- Must successfully complete a background check
Nice to have
- Experience building AI/ML developer platforms or infrastructure-adjacent product layers
- Familiarity with Kubernetes, container runtimes, or GPU workflows
- Track record of scaling teams in high-growth environments while maintaining quality
- Open-source contributions in cloud-native, systems, or ML-adjacent projects
Stack
- Go
- Python
- TypeScript
- Linux
- Kubernetes
- Slack
How you'll work
- Fully remote-first organization
- Global team distribution
- Asynchronous communication primary
- Flexible PTO policy
What you get
- Competitive base pay between $110,000 and $220,000
- Meaningful equity and stock options for all employees
- Generous medical, dental, and vision benefits
- $1,200 home office and equipment stipend
- Inclusive and collaborative team culture