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Чётко описанная senior-роль в растущей AI-продуктовой компании даёт широкий круг задач и влияние на продукт, но регулярная работа у клиента и поездки заметно влияют на образ жизни.
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Рост в сфере AI
Понятные задачи
Современный AI
Опционы на акции
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Mechanical Forward Deployed Engineer (AI): Mapping and improving customer design-review workflows, deploying AI capabilities, and solving engineering data and integration challenges across PLM, ERP, QMS, and design feedback tools with an accent on mechanical engineering rigor and enterprise adoption. Focus on validating LLM-generated results, leading cross-functional technical projects, expanding adoption across customer teams, and refining product capabilities with product teams.
Location: Remote, United States, with regular on-site work at a local customer in Cincinnati, Ohio. Travel includes quarterly team weeks and customer on-sites, primarily within North America.
Company
hirify.global builds AI-powered software for mechanical engineering teams designing complex products such as cars, medical devices, and jet engines.
What you will do
Map current-state design review and engineering workflows and define adoptable target-state processes.
Deploy and tune CoLab AI capabilities against customer standards, checklists, and design guidelines.
Validate AI-generated results using mechanical engineering expertise and maintain engineering rigor.
Solve complex engineering data and integration challenges across PLM, ERP, QMS, and design feedback tools.
Expand adoption across teams, programs, and sites while partnering with the Customer Success Manager.
Identify product gaps and collaborate with product teams to improve capabilities and refine AutoReview.
Requirements
Background in mechanical design engineering, ideally in a medium- to large-sized organization.
Strong understanding of PLM and ERP systems and enterprise engineering data architecture.
Ability to lead technical projects and cross-functional collaborations.
Experience working directly with customers or internal stakeholders to solve technical problems.
Comfort working in fast-changing, ambiguous environments.
Strong written communication and documentation skills.
Working knowledge of high-level AI architecture, specifically LLMs.
Familiarity with APIs, data integrations, and enterprise architecture concepts.
Nice to have
Experience with internal tool development, scripting, or automation.
Exposure to AI/ML tools applied to engineering workflows.
Prior work in design consulting or product development at scale.
Culture & Benefits
Full-time, permanent position with competitive compensation and stock options.
Fully remote setup with consistent travel and regular customer on-site work.
Quarterly in-person team weeks; two each year are held at the St. John's headquarters.
Unlimited paid vacation, extended health benefits, and 401k matching.
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