- Location
- Raleigh-Durham, NC
- Employment
- Full time
- Level
- Mid level
- Posted
- 25 October
About this role
Who are we?
Komodor is an Agentic Operations Platform for mission-critical production environments.We help enterprises to build custom agents under shared governance and context, and orchestrate them in end-to-end workflows for AI SRE, AI Software Operations, and Cost Optimization. With $90M in funding we're leading the autonomous infrastructure shift.
About the Role
We are looking for a Product Engineer to join our Product organization and become the bridge between our customers and our product. In this role, you will lead a major strategic initiative: driving the expansion of our customers from our Kubernetes management platform to a next-generation platform designed to build, manage, monitor, and operate custom-built internal agents running on production-grade services. You will directly own the success of this flagship rollout - ensuring seamless customer onboarding, active platform adoption, and enabling teams to successfully create and manage production-grade agents.
In addition to leading this core migration, you will work closely with a portfolio of customers, becoming a trusted partner within their teams and helping them get maximum value from Komodor. At the same time, you’ll bring the customer voice back into Product - sharing feedback, identifying recurring needs, and collaborating with Engineering and Product teams to continuously refine the platform.
This is a highly hands-on role that combines technical expertise in cloud-native platforms, project management, customer-facing skills, and strong cross-functional execution.
This remote role will be based in the East US (EST).
What You'll Do
- Lead the core migration & deployment initiative: Own the end-to-end rollout and customer migration from our older Kubernetes management system to our new agent-centric platform.
- Drive product-led customer adoption and value: Lead customer success from the product side by guiding customers through building, managing, monitoring, and operating their custom-built agents on production-grade infrastructure.
- Measure and deliver key success outcomes: Take accountability for key performance metrics including migration completion, overall platform adoption, and customer success in deploying and operating production-grade internal agents.
- Become part of the customer’s team: Understand their organization, technical environment, workflows, and challenges, providing guidance on how they can best build and run custom agents within the new environment.
- Drive implementations: Lead hands-on technical onboarding and implementations to ensure customers move smoothly from initial adoption to sustainable, production-grade usage.
- Identify expansion opportunities: Map customer organizations, identify new use cases for internal agent creation, and expand platform usage across teams and business units.
- Connect customers with Product & Engineering: Act as the voice of the customer internally, translating complex technical feedback, agent deployment bottlenecks, and feature requests into actionable product updates.
- Work cross-functionally: Partner closely with Product, Engineering, Sales, and Customer Success (CS) to maintain alignment and ensure a unified rollout strategy.
- Be hands-on: Combine deep technical understanding, project management, and execution skills to solve complex customer challenges and make things happen.
Requirements
- Strong technical background in areas such as DevOps, SRE, infrastructure, cloud-native platforms, Kubernetes, or platform engineering.
- Proven track record in leading complex technical migrations, rollout initiatives, or platform transitions for customer environments.
- Experience working for a start-up, self-starter mentality who can work independently, and passionate about the customer's success.
- Experience working directly with customers in a Solutions Architect, Solutions Engineer, Technical Account Manager, DevOps, or similar technical customer-facing role.
- Deep understanding of Kubernetes, containerization, modern cloud-native architectures, and production-grade service infrastructure.
- Familiarity or strong interest in AI/internal agent creation, execution environments, and operational monitoring framework.
- Strong problem-solving and analytical skills, with a creative and practical approach to solving migration and adoption challenges.
- Excellent communication and interpersonal skills, with the ability to build trust and work effectively with both internal teams and external customer stakeholders.
- Strong project management skills and the ability to take ownership, coordinate multiple internal cross-functional stakeholders (Product, Engineering, Sales, and CS), and drive complex deployments through to completion.
- High emotional intelligence and the ability to navigate complex customer environments and organizational change management.
- A hands-on mindset - someone who enjoys getting into technical details, troubleshooting complex architectures, and driving execution.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As published by Komodor. Applications are handled on their site.
Skills this posting mentions
About Komodor
Komodor is the leading Autonomous AI SRE Platform for cloud native infrastructure and operations. Powered by Klaudia Agentic AI, Komodor automatically visualizes, troubleshoots, and optimizes Kubernetes-based platforms at scale. Trusted by companies like Dell, Cisco, BlackRock, Balyasny, Rockwell Automation, Priceline, and OpenTable, Komodor is the go-to platform for innovative enterprises who need a comprehensive, autonomous solution for managing and optimizing cloud-native infrastructure and operations at scale.
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01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
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