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8 дней назад

Sales Systems Engineer II (Data Resilience)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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