• You will be the bridge between complex engineering and compelling sales. • Your goal is to ensure every SE is a certified expert who can navigate high-level technical discussions with ease and authority. • The Sales Engineering Enablement Lead is a pivotal role designed to empower and equip Saviynt’s internal pre-sales engineering team with the skills, knowledge, and resources required to effectively showcase the value of Saviynt’s solutions. • Responsible for developing and delivering targeted enablement programs that enhance the technical acumen and sales capabilities of our pre-sales engineers, ensuring they are well-prepared to support the sales process, address technical challenges, and meet the evolving needs of our customers and market.

• Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion • Translate technical requirements into elegant, scalable storage solutions that exceed expectations • Act as trusted technical advisor throughout the sales cycle • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads • Design for reliability, resilience, security, and scale—balancing performance with data protection • Create BOMs, system architectures, and technical proposals for complex RFPs • Conduct live demos, POCs, and performance benchmarking • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks • Stay current on AI infrastructure and storage technology trends

Role Description As a Commercial Pre-Sales Systems Engineer at Veeam, you will serve as a trusted technical and strategic advisor to enterprise customers as they navigate some of their most critical technology decisions. You will engage with a wide range of stakeholders — including executives, senior IT leadership, architects, engineers, and IT practitioners — to help them design resilient, secure, and future-ready data platforms that deliver real business outcomes. This role is built for a technologist who thrives on complexity, curiosity, and impact. You will operate at the intersection of technology strategy, architecture, and real-world operations — engaging deeply in technical design while also influencing business conversations around data resilience, cyber recovery, risk reduction, and modernization. Your ability to connect technical depth with business relevance is what earns trust and drives meaningful change. You will help customers modernize across on-premises, hybrid, multi-cloud, and SaaS environments, ensuring data resilience, security, and governance are foundational to everything they build. What You’ll Do - Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation. - Act as a trusted advisor to IT practitioners, engineers, architects, and senior leaders by translating business objectives into secure, resilient, and scalable architectures. - Deliver compelling technical demonstrations and decision-maker presentations that clearly articulate business value, cyber risk reduction, and operational outcomes. - Design and manage proofs-of-concept (POCs) to technical closure, aligned to customer success criteria and operational realities. - Collaborate with customers and partners to define architectural strategies supporting data resilience, ransomware recovery, compliance, and hybrid-cloud adoption. - Create tailored proposals and contribute to enterprise-scale RFP and RFx responses. - Maintain strong awareness of industry trends, emerging threats, and competitive positioning to effectively represent Veeam in business discussions. - Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction. Qualifications - 5+ years of experience in pre-sales systems engineering, solutions architecture, or similar technical leadership roles, with a strong focus on large enterprise environments. - Proven success leading complex, multi-stakeholder sales cycles, including discovery, solution design, POCs, and executive-level engagements. - Strong technical background across data resilience, infrastructure platforms, virtualization, cloud services, networking, and security. - Working knowledge of data security, privacy, and governance, including regulatory and compliance considerations relevant to enterprise customers. - Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives. - Excellent verbal and written communication skills, with proven public presentation experience delivering compelling messages to executives, senior IT leadership, and large technical or industry audiences. - Self-motivated, high-energy technologist who can learn quickly, adapt, and operate effectively in fast-moving enterprise environments. Bonus Skills - Experience with cloud and SaaS platforms, including AWS, Microsoft Azure, and Google Cloud Platform. - Strong working knowledge of Linux and Windows operating systems, including administration, troubleshooting, and performance considerations in enterprise deployments. - Solid understanding of networking fundamentals and architectures, including TCP/IP, DNS, routing, firewalls, load balancing, and network security concepts as they relate to data protection and recovery. - Hands-on experience across enterprise infrastructure domains such as virtualization platforms (VMware vSphere, Microsoft Hyper-V, Nutanix AHV), enterprise storage platforms, identity and access management, and Kubernetes-based environments commonly found in modern hybrid and multi-cloud architectures. - Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors. - Relevant technical or industry certifications (cloud, security, architecture). - Observability, monitoring, and operational tooling that supports resilience and recovery workflows. - Containerized and cloud-native application platforms, including Kubernetes data protection and recovery considerations. - SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS services). - API-driven automation, scripting, and infrastructure-as-code concepts. - Cyber recovery and clean-room architectures. - Data governance, classification, and policy-driven protection models. Benefits - Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares. - Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents. - Medical, dental, and vision coverage starting on your first day. - Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program. - 401(k) retirement plan with company matching contributions. - Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time. - AirVet: 24/7 virtual veterinary care at no cost. - Legal services, identity protection, and supplemental health insurance options. - Tax-advantaged spending accounts for healthcare, dependent care, and commuting. - Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning.

• Develop the sales and profitability within a designated geographical area. • Prospecting and making sales calls. • Product training and customer support/analysis. • Process/product recommendations. • Documented cost reductions and CRM administration. • Implement innovative machining techniques and cutting strategies.