Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$210к-265к/год
$160к$210кмедиана$310к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $2.4к/мес ($1.8к - $3к)
95
Крутая вакансия
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Высокооплачиваемая роль в профинансированном AI-стартапе с очень четким описанием задач и сильными позициями на рынке.
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Зарплата выше рынкаТрендовый доменСильные инвесторыСовременный стекПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Sales Engineer (Data & AI): Leading technical evaluations of a collaborative data analytics platform for enterprise customers with an accent on discovery, product demonstrations, proofs of concept, and deployment reviews. Focus on advising data teams and C-level stakeholders, managing architecture and security assessments, shaping deal strategy, and translating customer feedback into product direction.
Location: Remote within the US, or San Francisco and New York; occasional travel to customer on-sites and marketing events may be required.
OTE: $210,000–$265,000 base plus variable compensation.
Company
hirify.global develops a collaborative analytics platform combining notebooks, applications, BI, and AI-native workflows for data teams.
What you will do
Advise data teams and C-level executives during technical evaluations of hirify.global.
Own the technical sales cycle, including discovery, product demonstrations, proofs of concept, and initial deployment.
Partner with Account Executives on opportunity strategy and enterprise evaluations.
Manage architecture, security, and technical reviews required by prospects.
Share prospect feedback with Engineering and Product teams to inform the roadmap.
Create evaluation content such as demo projects, documentation, and videos.
Requirements
5+ years of experience in a technical pre-sales role.
Experience working with enterprise customers with more than 2,500 employees.
Experience with proofs of concept, technical sales motions, or deployment engineering for landing new logos.
Familiarity with data science tooling and workflows, including Python, SQL, and BI tools.
Strong customer communication skills, from individual contributors to senior stakeholders.
Generalist technical ability, creative problem-solving skills, and interest in early-stage startup environments.
Nice to have
Extensive experience with notebooks, SQL IDEs, or semantic modeling tools.
Experience or interest in working in an early-stage startup.
Culture & Benefits
Remote team members are located throughout the US and UK, with office hubs in San Francisco and New York.
Competitive market-based salary and equity.
Comprehensive health benefits.
Flexible paid time off.
High-agency environment focused on shipping quickly and collaborating closely.
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