Senior Sales Systems Engineer (AI, Data Resilience)

TL;DR

Senior Sales Systems Engineer (AI, Data Resilience): Leading complex enterprise pre-sales engagements, designing secure and resilient architectures across hybrid, multi-cloud, and SaaS environments with an accent on technical solution design, architecture validation, and cyber risk reduction. Focus on translating business objectives into scalable architectures, delivering high-impact technical demonstrations, and collaborating with cross-functional teams to influence customer outcomes.

Location: Remote within the United States. This role is intended to support the Mid-Atlantic region, with a strong preference for candidates based in Virginia, US.

Salary: $168,300–$312,600 USD (based on US Geographic Zone 3: Virginia, etc.)

Company

hirify.global is a global market leader in data resilience, providing solutions for data backup, recovery, portability, security, and intelligence to over 550,000 customers worldwide.

What you will do

• Lead complex enterprise pre-sales engagements, including discovery, solution design, architecture validation, and technical closure.
• Design secure, scalable, and resilient technical architectures for enterprise customers across hybrid, multi-cloud, and SaaS environments.
• Deliver high-impact technical demonstrations and executive-level presentations focused on business value and cyber risk reduction.
• Design, manage, and execute proof-of-concepts (POCs) aligned to customer success criteria and operational realities.
• Collaborate with sales teams, partners, product management, and engineering to influence solution architecture and customer outcomes.

Requirements

• 10+ years of experience in pre-sales engineering, solutions architecture, or senior technical leadership roles within enterprise environments.
• Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
• Proven success leading complex, multi-stakeholder sales cycles including discovery, solution design, POCs, and executive engagements.
• Strong technical foundation across data resilience, infrastructure platforms, cloud services, networking, and security.
• Solid understanding of data security, privacy, governance, and regulatory considerations for enterprise customers.
• Excellent communication and presentation skills, with the ability to engage C-level executives and senior IT leaders.

Nice to have

• Experience with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Hands-on knowledge of Windows and Linux operating systems in enterprise deployments.
• Familiarity with Kubernetes, containerized workloads, and cloud-native data protection.

Culture & Benefits

• Unlimited paid time off, 12 paid holidays, plus 4 extra global hirify.globale Days for self-care and 24 paid volunteer hours annually.
• 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, 401(k) retirement plan with company matching contributions, and fertility, adoption, and surrogacy support.
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events.