Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$287к-372к/год
$180к$260кмедиана$320к
По похожим ролям (49) ~ $260к/год
На СНГ рынке: $2.4к/мес ($1.6к - $3к)
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Company hidden предлагает чётко определённую роль в корпоративных продажах с доходом выше рыночного и сильным направлением инфраструктуры данных, но заработок зависит от выполнения плана, а жить нужно в Южной Каролине.
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Зависимость от планаОграничение по местуДоход выше рынкаПерспективное направлениеПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Client Executive (Data Infrastructure): Driving enterprise sales across storage, data center, infrastructure, cloud, and data platforms with an accent on territory strategy, channel partnerships, and complex deal execution. Focus on creating net-new opportunities, navigating MEDDICC sales cycles, managing forecasts, and communicating ROI to executive stakeholders.
Location: Remote; must reside in South Carolina, United States. Candidates outside the region will be disqualified. The role supports customers and partners in the region.
Salary: USD 287,300–371,800 target salary range based on On Target Earnings (OTE), including base salary and potential commission.
Company
hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and cloud-embedded solutions for enterprise workloads and AI.
What you will do
Own territory strategy, identify whitespace, expand existing accounts, and build a pipeline supporting consistent over-attainment.
Develop relationships with customers, partners, and stakeholders by understanding business drivers, technical priorities, and decision processes.
Partner with a Solutions Engineer to build, position, and deliver solutions aligned with customer outcomes.
Build channel relationships with VARs to create demand, expand reach, and accelerate deal execution.
Lead complex sales cycles from discovery and MEDDICC qualification through solution positioning, deal structuring, and closing.
Manage pipeline forecasting, account planning, internal resources, and customer experience across immediate and multi-quarter growth initiatives.
Requirements
7+ years of quota-carrying sales experience with a consistent record of meeting or exceeding targets.
Experience selling hirify.global technologies or adjacent solutions across storage, data center, infrastructure, cloud, or data platforms.
Proven ability to generate new business, break into accounts, create pipeline, and close net-new opportunities.
Strong experience in a channel-driven sales model, including building and leveraging VAR relationships to drive revenue.
Ability to partner cross-functionally with Solutions Engineers, Partner Managers, and Specialists to win complex deals.
Strong discipline in forecasting, pipeline management, and deal execution.
Strong business and financial acumen, including deal structuring, value proposition development, and communicating ROI to executive stakeholders.
Excellent communication and presentation skills for technical and business audiences.
Deep understanding of enterprise sales cycles and navigating stakeholders across IT, Finance, Procurement, and executive leadership.
Ability to operate in a fast-paced, high-expectation environment with accountability for results.
Culture & Benefits
Remote work arrangement with regional customer and partner responsibilities; hirify.global also describes a hybrid environment with possible in-office or in-person expectations for most roles.
Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, employee stock purchase plans, and restricted stock units, subject to regional policies.
hirify.global offers enterprise data infrastructure solutions across Google Cloud, AWS, and Microsoft Azure.
Hiring process
Applications are reviewed only when submitted through the hirify.global company website.
Some stages for select roles may use AI tools to support application evaluation and candidate selection while retaining human decision-making.
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