Role overview
Partner with customers and the go-to-market team as a senior technical advisor for an AI-era infrastructure platform. The role blends technical pre-sales, customer onboarding, Kubernetes expertise, and product feedback to help platform and DevOps teams adopt the platform successfully in production environments.
Responsibilities
- Guide prospects and customers through architecture discussions, onboarding, migrations, and production adoption
- Lead technical conversations around scalable cloud and Kubernetes setups and troubleshoot infrastructure and deployment issues
- Act as a trusted technical advisor, validating deals during pre-sales and supporting onboarding alongside customer success
- Deliver structured product feedback and escalations to engineering, helping make the customer experience more scalable and efficient
- Support platform and engineering teams in adopting best practices for the platform
Requirements
- Deep hands-on experience with Kubernetes and cloud infrastructure in production environments
- Strong background in technical pre-sales, solution engineering, or customer-facing engineering roles
- Ability to lead architecture and troubleshooting conversations with DevOps, platform, and engineering teams
- Clear communication skills across both technical and non-technical audiences
- Track record of operating at the intersection of infrastructure, product, and engineering
- Comfort working in a remote-first, fast-paced environment with high ownership and accountability
Nice to have
- Experience working with AI coding agents or agentic infrastructure workflows
- Familiarity with platforms that balance developer velocity, security, compliance, and cost
Benefits and work setup
- Remote-first organization with global hiring
- High-ownership culture with transparent information sharing and accountability for outcomes
- Equal opportunity employer committed to diversity and inclusion, hiring on qualifications, merit, and business need
- Structured hiring process typically including an initial screen, a hiring manager interview, a case study, a culture round, a final leadership interview, and reference checks