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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$150к-250к/год
$140к$170кмедиана$190к
По похожим ролям (50) ~ $170к/год
75
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Роль четко определена с акцентом на взаимодействие с клиентами в области ИИ, но широкий диапазон зарплаты может вызвать неопределенность в ожиданиях по компенсации.
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Широкий диапазон зарплатыПродуктовая компанияПриветствуется разнообразный технический опытГибридный формат работы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Deployment Strategist (AI): Transforming AI and simulation solutions into lasting customer partnerships across industrial engineering and manufacturing with an accent on customer onboarding, technical guidance, and strategic account growth. Focus on translating engineering challenges into product roadmaps, coordinating delivery teams, and identifying new applications and commercial opportunities.
Location: New York, United States; hybrid setup with flexibility to work remotely and access to the Manhattan office.
Salary: $150,000–$250,000 depending on experience.
Company
hirify.global develops physics AI and simulation software for industrial engineering and manufacturing, partnering with organisations in aerospace and defence, automotive, semiconductors, materials, and energy and renewables.
What you will do
Build and maintain relationships with customer users and decision-makers as the primary customer-facing technical contact.
Understand customer industry challenges and translate them into product opportunities and roadmap alignment.
Own customer onboarding and work with delivery teams to ensure solutions are useful, adopted, and value is measured.
Support delivery-team planning, product coordination, sprint planning, deliverables alignment, and project delivery.
Identify new customer problems, users, stakeholders, and applications; prepare proposals including commercial terms and support the contracting process.
Track customer engagement, gather feedback, and coordinate with Simulation Engineers, Software Engineers, Machine Learning Engineers, and Data Scientists.
Requirements
8+ years of industry experience in a commercial, customer-facing environment.
Ability to understand advanced engineering concepts across multiple industries and work directly with customers.
Experience with either Data Science or Machine Learning and the end-to-end AI/ML product lifecycle, or an engineering background with domain-specific engineering understanding.
Ability to explain complex technical concepts to stakeholders and connect AI capabilities with practical engineering applications.
Willingness and ability to learn the core technology stack, cloud and software deployment, and product features.
Experience taking ownership of the customer journey, including onboarding, change management, roadmap planning, and contract preparation.
Strong strategic planning, time management, problem-solving, and organizational skills.
Ability to manage sprint planning, deliverables alignment, and smooth project delivery.
Nice to have
Experience in industrial or advanced manufacturing sectors, such as automotive, semiconductors, or materials.
Culture & Benefits
Hybrid working with remote flexibility and the option to work from anywhere for periods of time.
Equity options and a 5% 401(k) contribution.
Private healthcare for employees and their families.
Enhanced parental leave.
Personal development, learning, and training opportunities.
Inclusive equal-opportunity culture supporting diversity and underrepresented groups in technology.
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