Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана достаточно чётко: это управление межкомандными программами и практическая работа с комплаенсом в развивающемся AI-продукте, хотя устройство команды и критерии успеха раскрыты слабо.
AI-инфраструктура
Понятная зона ответственности
?Высокий порог опыта
?Мало критериев успеха
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Program Lead - Compliance Operations & Process Excellence (SOC 2/FedRAMP): Operationalizing compliance controls and improving software delivery processes across a regulated AI and data infrastructure organization with an accent on audit trails, workflow management, and cross-team execution. Focus on translating requirements into working processes and tool configurations, coaching managers, and improving delivery through Lean, Kanban, and flow metrics.
Location: Remote, Germany
Company
hirify.global provides a unified multimodel contextual data platform connecting enterprise data with LLMs, copilots, and AI agents through graph, vector, document, key-value, and search capabilities.
What you will do
Own and operationalize controls for compliance frameworks including SOC 2 and FedRAMP.
Help managers and team leads improve product development and delivery practices.
Support cross-team projects from planning through implementation, including dependency management and follow-through.
Own and evolve the central workflow management system.
Identify improvement opportunities, support process initiatives, and report results.
Requirements
10+ years of software industry experience, including at least three years in program, project, or engineering management.
Experience shipping software in strictly regulated domains with routine control management, sign-offs, and compliance audit trails.
Experience introducing process changes across several teams and demonstrating adoption using Lean, Kanban, flow metrics, or similar methods.
Program and project management across teams with competing priorities, including planning, dependency management, and follow-through.
Experience coaching managers and team leads.
Ability to turn written requirements into working processes, tool configurations, and evidence trails.
Engineering background and credibility with engineers, including working knowledge of CI/CD, code review, and release practices.
Culture & Benefits
Work on AI and data infrastructure for enterprise applications.
Collaborate with experienced engineering, marketing, and product teams.
Help shape the contextual data layer for AI-powered applications.
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