Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
284к-367к CAD/год
140к CAD180к CADмедиана240к CAD
По похожим ролям (50) ~ 180к CAD/год
На СНГ рынке: $2.4к/мес ($2.2к - $3к)
85
Хорошая вакансия
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Чёткая роль в enterprise-продажах у известной компании в сфере инфраструктуры данных: зона ответственности и поддержка смежных команд описаны ясно, но работать можно только из региона Торонто.
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Доход выше рынкаПонятная зона ответственностиИзвестный игрок рынкаТолько регион Торонто
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 - Toronto (Enterprise Data Infrastructure Sales): Owns territory strategy, develops enterprise customer and channel relationships, and drives complex sales cycles for storage, cloud, infrastructure, and data platform solutions with an accent on whitespace development, account expansion, and partner-led growth. Focus on MEDDICC qualification, pipeline forecasting, executive value propositions, and coordinating cross-functional resources to close high-value opportunities.
Location: Remote, but must reside in the greater Toronto area to support customers and partners. Candidates outside the region will be automatically disqualified.
Target OTE salary range: 283,900–367,400 CAD, consisting of base salary and potential commission.
Company
hirify.global provides intelligent data infrastructure, unified storage, integrated data services, cloud storage, and solutions for enterprise AI and multicloud environments.
What you will do
Own territory strategy, identify whitespace, expand existing accounts, and build a pipeline for consistent over-attainment.
Develop relationships with customers, partners, and stakeholders while understanding business drivers, technical priorities, and decision processes.
Partner with Solutions Engineers to position and deliver solutions aligned with customer outcomes.
Build channel relationships with VARs to generate 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 and forecasting while coordinating Partner Managers, Specialists, and Customer Success across immediate execution and long-term account planning.
Requirements
7+ years of quota-carrying sales experience with a consistent record of meeting or exceeding targets.
Experience selling hirify.global technologies or adjacent storage, data center, infrastructure, cloud, or data platform solutions.
Proven ability to generate new business, break into accounts, create pipeline, and close net-new opportunities.
Strong experience in a channel-driven sales model and building VAR relationships.
Experience partnering cross-functionally with Solutions Engineers, Partner Managers, and Specialists on complex deals.
High discipline in forecasting, pipeline management, and deal execution.
Strong business and financial acumen, including deal structuring, value propositions, and ROI communication to executive stakeholders.
Excellent communication and presentation skills for technical and business audiences.
Deep understanding of enterprise sales cycles and navigation of IT, Finance, Procurement, and executive stakeholders.
Ability to work in a fast-paced, high-expectation environment with accountability for results.
Culture & Benefits
Remote role with a Toronto-area residence requirement; the broader company supports a hybrid working environment with in-office or in-person expectations for many roles.
Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, employee stock purchase plans, and RSUs, subject to regional policies.
Applications are reviewed only when submitted through the company website.
Hiring process
Apply through the hirify.global company website; emailing employees, recruiters, or HR will not influence the application.
Some stages for select roles may use AI tools to support application evaluation and candidate selection alongside human decision-making.
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