Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$204к-306к/год
$190к$230кмедиана$260к
По похожим ролям (50) ~ $230к/год
91
Крутая вакансия
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Чёткая зона ответственности на уровне директора, полный цикл AI-продуктов и значимые задачи в регулируемой медтех-среде делают вакансию сильной; широкий охват функций потребует серьёзных навыков влияния и координации.
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Широкий охватАктуальные AI-технологииВлияние на медицинуОтветственность за результат
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
Director, Applied AI (MedTech): Leading the design, delivery, and adoption of scalable AI and data products across quality, operations, supply chain, manufacturing, medical, clinical, regulatory, and post-market functions with an accent on regulated-industry governance, product leadership, and organizational change. Focus on translating ambiguous business challenges into AI products, validating and embedding solutions into workflows, and managing responsible AI risks involving patient safety, product quality, and regulatory reporting.
Location: Hybrid, with required on-site work from an hirify.global office in Acton, Massachusetts, United States.
Annual base salary: $204,300.00–$306,450.00 for U.S.-based positions; incentive compensation may also apply.
Company
hirify.global is a medical device company developing the Omnipod platform and wearable insulin delivery systems for people with diabetes and other conditions.
What you will do
Define and prioritize high-value AI opportunities across Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market functions.
Translate business challenges into hypotheses, experiments, MVPs, product charters, value cases, roadmaps, and scalable AI products.
Lead AI-enabled capabilities including complaint and adverse-event analysis, reportability support, quality-event triage, investigation assistance, signal detection, document intelligence, predictive maintenance, yield and scrap optimization, planning, and operational decision support.
Apply generative AI, machine learning, computer vision, optimization, simulation, AI agents, and workflow automation where appropriate.
Lead cross-functional teams through discovery, validation, production deployment, adoption, monitoring, and continuous improvement.
Establish responsible AI governance, validation, risk controls, human-in-the-loop review, auditability, training, and workflow adoption for regulated use cases.
Requirements
Master’s degree in computer science, engineering, data science, analytics, operations research, biomedical engineering, life sciences, business, or a related field.
12+ years of experience leading cross-functional teams and delivering enterprise-scale data, analytics, automation, or AI products.
Strong understanding of applied AI, machine learning, generative AI, large language models, AI agents, RAG, computer vision, predictive models, optimization, and workflow automation.
Demonstrated ability to lead AI products from ideation through MVP, production deployment, adoption, monitoring, and continuous improvement.
Strong product leadership, executive communication, stakeholder management, and change-management capabilities in complex environments.
Nice to have
Experience in healthcare, medical devices, life sciences, diabetes care, manufacturing, supply chain, quality, medical affairs, clinical, regulatory, or post-market surveillance.
Experience with validated systems, regulated data, quality management processes, complaint handling, adverse-event reporting, manufacturing operations, or operational excellence.
Familiarity with AWS, Azure, Databricks, Snowflake, ServiceNow, ERP, quality-management, manufacturing, laboratory, planning, or document-management ecosystems.
Culture & Benefits
Hybrid working arrangement with required on-site work from an hirify.global office.
Medical, dental, and vision insurance.
401(k) with company match.
Paid time off and employee wellness programs.
Mission-driven work focused on improving diabetes care and patient outcomes.
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