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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$77к$99кмедиана$115к
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Чётко очерченная руководящая роль в продуктовой AI-компании с практической работой над агентными системами в production; без указанной зарплаты сложнее оценить условия оплаты.
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Зарплата не указанаПонятная зона ответственностиСовременный стекСильный AI-фокусПоездки к клиентам
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager, Delivery (AI): Leading the deployment of agentic AI systems into customer business processes and managing a team of AI Deployment Engineers with an accent on production delivery, adoption, and technical quality. Focus on designing reliable agent systems, coordinating engineering and data science teams, and solving complex customer implementations in real-world environments.
Location: Based in Amsterdam, with flexibility to travel onsite to customer locations
Company
hirify.global provides an AI-powered product network that helps governments and businesses build a more resilient and secure global economy while keeping trade flowing.
What you will do
Lead, hire, coach, and grow a team of AI Deployment Engineers.
Own delivery outcomes, staffing, roadmaps, adoption, and measurable success across customer implementations.
Set technical standards for agentic AI systems, including prompts, evaluations, tool integrations, guardrails, orchestration, and human-in-the-loop controls.
Review deployments for reliability, safety, auditability, cost, and latency in customer environments.
Act as the senior technical partner for customer stakeholders and escalation point for complex implementations.
Coordinate engineering, data science, product, and customer success teams while feeding field learnings back into the product organization.
Requirements
8+ years of customer-facing technical delivery experience, including 2+ years leading engineers or technical delivery teams.
Experience building and growing high-performing technical teams delivering complex work for external stakeholders.
Hands-on experience building or deploying agentic AI systems, including LLM-powered agents, tool and function calling, retrieval-augmented generation, or multi-agent orchestration.
Fluency in prompt engineering and agent evaluation, with judgment about production reliability.
Working proficiency in Python or a comparable language, plus SQL, REST APIs, Swagger/OpenAPI, Git workflows, and cloud-hosted systems.
Experience with data pipelines, data modeling, ML systems, agent frameworks, and AI-assisted coding tools.
Nice to have
Experience with global trade, supply chain, customs, or trade compliance.
Experience scaling delivery, professional services, or forward-deployed engineering teams.
Background in enterprise software implementation at scale.
Formal product management experience covering roadmaps, specifications, and stakeholder prioritization.
Culture & Benefits
Work in a delivery organization with a technical core and direct customer engagement.
Collaborate closely with engineering, data science, product, and customer success teams.
Operate according to values of trust, resilience, stewardship, and courage.
Join a diverse and equal opportunity workplace.
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