Sr. Sales Systems Engineer

About Our Client

The organization operates in the data resilience and AI risk management industry, addressing the challenge of securing and understanding data and AI to support safe AI adoption at scale. As a leader in data resilience and data security posture management, the organization integrates identity, data, security, and AI risk to protect business continuity. Headquartered in Seattle with offices in over 30 countries, it serves more than 550,000 customers worldwide, focusing on enabling reliable and secure data environments for enterprises.

About the Opportunity

The Sr. Sales Systems Engineer serves as a trusted technical and strategic advisor to enterprise customers, guiding them through critical technology decisions. This role involves designing resilient, secure, and scalable data platforms that support business outcomes. The position requires bridging technical expertise with business needs to influence conversations on data resilience, cyber recovery, risk reduction, and modernization. It plays a key role in helping customers modernize data platforms across on-premises, hybrid, multi-cloud, and SaaS environments while ensuring security and governance.

Responsibilities

• Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation
• Act as a trusted advisor by translating business objectives into secure and scalable architectures
• Deliver technical demonstrations and presentations that highlight business value and risk reduction
• Design and manage proofs-of-concept aligned with customer success criteria
• Collaborate with customers and partners to define strategies for data resilience, ransomware recovery, compliance, and hybrid-cloud adoption
• Create tailored proposals and assist in enterprise-scale RFP and RFx responses
• Stay informed on industry trends, emerging threats, and competitive positioning
• Work closely with sales, product management, engineering, and partners to influence solution architecture and product direction

Requirements

• 5+ years in pre-sales systems engineering, solutions architecture, or similar technical leadership roles focused on large enterprises
• Proven success managing complex sales cycles including discovery, solution design, POCs, and executive engagements
• Strong technical expertise in data resilience, infrastructure platforms, virtualization, cloud services, networking, and security
• Knowledge of data security, privacy, governance, and relevant regulatory compliance
• Foundational understanding of AI, machine learning, and large language models, with the ability to explain the role of trusted data in AI
• Excellent verbal and written communication skills, with experience presenting to executives and senior IT leaders
• Self-motivated and adaptable technologist capable of operating effectively in fast-paced enterprise settings

Skills

• Experience with AWS, Microsoft Azure, Google Cloud Platform
• Working knowledge of Linux and Windows operating systems administration and troubleshooting
• Understanding of networking fundamentals including TCP/IP, DNS, routing, firewalls, and network security related to data protection
• Hands-on experience with virtualization platforms, enterprise storage, identity and access management, and Kubernetes in hybrid and multi-cloud environments
• Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors
• Relevant technical or industry certifications in cloud, security, or architecture
• Familiarity with observability, monitoring, and operational tooling for resilience and recovery
• Knowledge of containerized and cloud-native application platforms, SaaS data resilience, API-driven automation, cyber recovery architectures, and data governance

Pay

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.