Sr. Solutions Engineer

• 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 multiplier for the SE organization. You will 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., * Technical Credibility: A CKA or CKAD certification and active participation in the CNCF community or open-source ecosystem.
• Regulated Industry Expertise: Deep experience navigating the technical hurdles of Financial Services, Healthcare, or Public Sector environments.
• Modern Growth Mindset: You thrive in environments that reject “manual” sales methods and prefer a modern stack where you can solve the revenue puzzle through automation, AI-driven discovery, and technical excellence., * Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business.
• Own the Outcome: We understand that our responsibility doesn’t end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.
• Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.
• Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy - the strongest ideas win, no matter who or where they come from.
• Build Tomorrow’s Standards, Intentionally: We don’t just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.

Compensation Range: $140K - $180K

Do you have experience in Virtualization tools?, * 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 experience within the Kubernetes ecosystem. You understand the nuances of control planes, namespaces, and cluster API, and you can explain the trade-offs between legacy multi-tenancy and virtualization.
• Cognitive Flexibility: You are an open-minded professional-willing to abandon legacy “spray-and-pray” demo tactics in favor of data-driven, highly targeted consultative selling.
• Strategic Thinking: You don’t just follow a process; you anticipate market trends and identify complex entry points within the Fortune 2000.

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Flexible schedule, * Competitive Salary: We offer a competitive compensation package, including equity.
• Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).
• Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.
• Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

About vCluster Labs

We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and 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+ GitHub stars, 40M+ virtual clusters created since 2021). Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI - a Kubernetes-native framework purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.