Sr. Solutions Engineer
AI summary of the role
This Senior Solutions Engineer role at vCluster leads the technical win for complex enterprise deals in the Kubernetes virtualization space.
What you’ll do
- Own the technical strategy for large-scale enterprise engagements, partnering with Account Executives to navigate highly regulated industries.
- Build formal Business Value Assessments (BVAs) connecting vCluster capabilities to quantifiable outcomes like cost savings and developer velocity.
- Integrate AI-native workflows to automate discovery documentation, brainstorm multi-tenant architecture diagrams, and accelerate GTM delivery.
- Coach Associate and Intermediate SEs, identify gaps in qualification frameworks (e.g., MEDDPICC), and design PoV templates.
What you’ll bring
- At least 6 years of experience in a pre-sales or solutions engineering role with enterprise-level buyers.
- At least 3 years of hands-on experience within the Kubernetes ecosystem (control planes, namespaces, cluster API).
- Cognitive flexibility to adopt data-driven consultative selling over legacy demo tactics.
- Strategic thinking to anticipate market trends and identify entry points within the Fortune 2000.
Technologies
Kubernetes · vCluster · GPU infrastructure · AI · ML · NVIDIA DGX · CNCF · CKA · CKAD · MEDDPICC
About vcluster
Kubernetes virtualization platform that runs isolated virtual clusters inside one real cluster, used by enterprises and AI neoclouds for multi-tenancy and cost reduction.
Series A · 50–100 people
Source and classification
Technical pre-sales · Evidence for this classification:
As a Senior Solutions Engineer at vCluster, you aren't just giving product demos; you are the technical architect of our enterprise customers' success. Sitting at the high-stakes intersection of Sales and Engineering, you will be a key contributor to our market dominance by leading the "Technical Win" for our most complex, multi-stakeholder deals as we define the Kubernetes virtualization category. Your Role and Impact: Complex Opportunity Leadership: Own the technical strategy for large-scale enterprise engagements. You will partner with Account Executives to navigate highly regulated industries, developing tailored narratives that solve deep-seated compliance, security, and operational concerns. Business Value Engineering: Move beyond features to build formal Business Value Assessments (BVAs). You will connect vCluster’s unique capabilities to quantifiable outcomes—linking
More from the job description
As a Senior Solutions Engineer at vCluster, you aren't just giving product demos; you are the technical architect of our enterprise customers' success. Sitting at the high-stakes intersection of Sales and Engineering, you will be a key contributor to our market dominance by leading the "Technical Win" for our most complex, multi-stakeholder deals as we define the Kubernetes virtualization category. Your Role and Impact: Complex Opportunity Leadership: Own the technical strategy for large-scale enterprise engagements. You will partner with Account Executives to navigate highly regulated industries, developing tailored narratives that solve deep-seated compliance, security, and operational concerns. Business Value Engineering: Move beyond features to build formal Business Value Assessments (BVAs). You will connect vCluster’s unique capabilities to quantifiable outcomes—linking infrastructure consolidation to actual cost savings, risk reduction, and developer velocity. AI Literacy & Augmentation: Naturally integrate AI-native workflows to automate discovery documentation, brainstorm complex multi-tenant architecture diagrams, and accelerate GTM delivery. You will use LLMs to analyze customer requirements and extract high-value technical insights while maintaining a "human-in-the-loop" approach to ensure architectural accuracy. Mentorship & Process Contribution: Act as a force [... source excerpt omitted ...] coach Associate and Intermediate SEs, identify gaps in our qualification frameworks (e.g., MEDDPICC), and design the PoV templates that scale our effectiveness. The Voice of the Customer: Represent field observations directly to Product and Engineering. You will influence the product roadmap by translating enterprise customer pain into high-fidelity technical requirements. This Role is a Fit for You If: Proven Experience: You have at least 6 years of experience in a pre-sales or solutions engineering role, with a track record of positioning complex infrastructure or platform solutions to enterprise-level buyers. Kubernetes Mastery: You have at least 3 years of hands-on exper [... source excerpt omitted ...] d we have a remote-first work culture. We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitH
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