aivirtualizationcybersecuritysolutions architecturehybrid cloudsales engineeringproof of conceptenterprise storagedata resilience
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкий фокус на пресейле, серьезные технические задачи и хороший пакет льгот; при этом важно учитывать предпочтение офиса в Alpharetta и командировки.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sales Systems Engineer II (Data Resilience): Leading complex pre-sales engagements and designing resilient, secure architectures across on-premises, hybrid-cloud, multi-cloud, and SaaS environments with an accent on data protection, cyber recovery, and enterprise infrastructure. Focus on leading technical discovery, validating proof-of-concepts, presenting to executive stakeholders, and connecting data resilience with security, governance, and AI initiatives.
Location: Preference is local to the Alpharetta, GA office; up to 20% travel within the assigned territory.
Compensation range (OTE): $96,100–$160,100 USD, including base pay and a performance-based bonus.
Company
hirify.global provides data resilience and data security posture management solutions that help organizations secure, understand, and protect data and AI workloads.
What you will do
Lead complex pre-sales engagements from discovery and architecture design through solution positioning, technical validation, and closure.
Advise IT practitioners, engineers, architects, executives, and senior leaders on secure, resilient, and scalable architectures.
Deliver technical demonstrations, executive presentations, workshops, and tailored proposals focused on business value and cyber risk reduction.
Design and manage proof-of-concepts aligned with customer success criteria and operational requirements.
Collaborate with customers, partners, sales, product management, engineering, and ecosystem teams on data resilience, ransomware recovery, compliance, and hybrid-cloud adoption.
Track industry trends, emerging threats, and competitive positioning while contributing to solution architecture and product direction.
Requirements
5+ years of experience in pre-sales systems engineering, solutions architecture, or related technical customer-facing roles supporting SMB to mid-market customers.
Ability to own technical execution across discovery, solution design, technical validation, and proof-of-concept activities, while managing multiple concurrent engagements.
Strong technical foundation in enterprise infrastructure, including data resilience, compute and virtualization platforms, cloud services, networking, and security.
Ability to identify technical risks, gaps, and dependencies and collaborate with sales and internal teams to resolve them.
Working knowledge of data security, privacy, governance, and regulatory considerations affecting enterprise IT and data protection.
Foundational understanding of AI, machine learning, and large language models, including how trusted and governed data supports analytics and AI initiatives.
Strong verbal and written communication skills for customer-facing technical discussions, presentations, demonstrations, and workshops.
Ability to work independently, exercise sound judgment, collaborate cross-functionally, and mentor junior colleagues through technical guidance and knowledge sharing.
Nice to have
Experience with Microsoft Azure, AWS, Google Cloud Platform, and hybrid or multi-cloud architectures.
Working knowledge of Linux and Windows administration, troubleshooting, and performance considerations.
Knowledge of TCP/IP, DNS, routing, firewalls, and network security principles.
Hands-on exposure to VMware vSphere, Microsoft Hyper-V, Nutanix AHV, enterprise storage, identity and access management, Kubernetes, or container platforms.
Experience with proof-of-concepts, technical validations, or customer workshops in complex multi-stakeholder sales engagements.
Familiarity with data protection, cyber resilience, enterprise infrastructure, observability, monitoring, and operational tooling.
Relevant cloud, security, infrastructure, or architecture certifications, or active pursuit of certification.
Exposure to containerized and cloud-native platforms, SaaS data resilience for Microsoft 365 or Salesforce, API-driven automation, PowerShell or Python scripting, infrastructure as code, cyber recovery, data governance, classification, and retention policies.
Culture & Benefits
Unlimited paid time off, 12 paid holidays, four global hirify.globale Days, and 24 paid volunteer hours annually.
Paid parental leave of 8 weeks for all parents and 16 weeks for birthing parents.
Medical, dental, and vision coverage starting on the first day, plus mental health and wellness support.
401(k) retirement plan with company matching contributions and tax-advantaged spending accounts.
Fertility, adoption, surrogacy, legal, identity protection, supplemental insurance, and virtual veterinary care benefits.
Learning and development through LinkedIn Learning, O’Reilly, mentoring, workshops, and annual learning events.
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