Veeam Kasten for Kubernetes is Veeam's Kubernetes-native data protection platform, purpose-built for modern cloud-native applications and AI-driven workloads. As enterprises accelerate Kubernetes adoption and container-based platform modernization, Kasten is positioned to be the data protection standard for cloud-native infrastructure
The Kasten Specialist Solutions Engineer partners with the Kasten Sales Specialist to drive technical wins across enterprise accounts in the US West and US Central geographies
You will own the technical sales cycle end to end: discovery, architecture, demonstration, proof of concept, and technical close. You will also serve as the primary field voice back to Kasten Product Management on requirements and roadmap gaps
This is a quota-carrying, customer-facing role. You are accountable for the technical win
Lead all pre-sales technical activities across assigned territories, including discovery, solution architecture, demonstrations, and POC execution
Deliver compelling technical presentations and product demonstrations to enterprise technical evaluators, architects, and senior leadership
Architect Kasten solutions against customer requirements and enterprise security and compliance frameworks
Scope, manage, and drive POCs to technical closure on aggressive timelines
Translate customer business objectives into Kubernetes data protection requirements and solution designs
Support lead generation activities including industry events, webinars, and technical briefings
Collaborate with Red Hat, AWS, and other ecosystem partners that are critical to advance co-sell opportunities
Work closely with regional channel partners and system integrators to support partner-led technical evaluations
Provide structured product feedback to Kasten Product Management based on field experience and customer requirements
Travel up to 40% within US West/Central and occasional global travel
Benefits
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Unlimited paid time off, plus 3 global VeeaMe Days for self-care
Medical, dental, and vision coverage from day one
401(k) retirement plan with matching contributions up to annual limits
Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
Legal services, identity protection, and supplemental health insurance options
AirVet: 24/7 virtual veterinary care at no cost
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O'Reilly) and mentoring through our MentorLab program
Requirements & Experience
7+ years of pre-sales or solutions engineering experience in enterprise software, with demonstrated success in North American enterprise markets
Working knowledge of Kubernetes data protection, backup and recovery strategies, and cloud-native storage architectures
5+ years of hands-on experience with Kubernetes-based products in production or evaluation environments, including Red Hat OpenShift, AWS EKS, or equivalent
Excellent verbal and written communication skills; able to present to groups of varying size and seniority
Familiarity with enterprise procurement processes and channel dynamics
Highly energetic and resourceful, with a hands-on, get-it-done approach and a strong desire to own outcomes in a fast-moving environment
Ability to translate complex technical capabilities into business value for both technical evaluators and senior enterprise stakeholders
Experience selling Kubernetes platforms, cloud-native infrastructure, and/or data resilience solutions
Background selling to enterprise DevOps, Platform Engineering, or IT Operations teams
Experience launching or growing a new product or business in an enterprise account base
Familiarity with the Red Hat OpenShift, AWS EKS, or VMware Tanzu ecosystems
Previous experience in a high-growth or scaling startup environment