Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности, интересные задачи на стыке AI и healthtech и серьезный управленческий масштаб, но без зарплаты и с противоречием между Барселоной и Остином оценить предложение сложнее.
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Неясная локацияЗарплата не указанаСильная рольСовременная инфраструктураAI в медицине
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (SaaS): Leading multiple engineering squads to industrialize AI-accelerated prototypes into production-grade, enterprise-deployable SaaS systems with an accent on delivery health, AI governance, and human-reviewed code. Focus on scaling teams, partnering with Product and AI Research, managing regulated delivery, and maintaining reliable release gates.
Location: Barcelona, Spain; hybrid work model
Company
hirify.global is a Healthtech company using AI to accelerate drug development and improve patient outcomes.
What you will do
Lead 5–8 engineers across one or two squads, with potential growth to 12–15 engineers across two or three squads.
Own delivery health, release rhythm, lead time, change-failure rate, and squad outcomes.
Industrialize validated AI-accelerated prototypes into production-grade, enterprise-deployable SaaS systems.
Maintain AI governance by ensuring human review of every AI-generated or AI-modified change before merge.
Partner with Product and AI Research on outcomes, priorities, and model-quality workstreams.
Coach engineers and technical leads while leading sourcing, interviewing, hiring, and team development.
Requirements
5+ years as a strong senior engineer working with distributed systems, microservices, and SaaS platforms, followed by 4+ years of engineering management.
Proven multi-team management experience covering approximately 10–20 engineers or management through technical leads.
Experience building teams through sourcing, hiring, development, performance management, and career growth.
Experience delivering in regulated or audited environments such as health, fintech, or government, including audit trails and hard release gates.
Ability to read code, challenge designs, evaluate AI-generated code, and own delivery risks and outcomes.
Strong communication, delivery ownership, and interest in AI-assisted engineering with human framing and verification.
Nice to have
AI-first delivery experience with human-in-the-loop review discipline.
Multi-tenant SaaS architecture experience, including tenant isolation, RBAC, entitlements, and secure API design.
Cloud-native experience with Kubernetes, CI/CD, GitOps, observability, metrics, logs, and tracing.
Production experience with LLM or agentic features, or familiarity with .NET, Node, React, Python, and Kubernetes.
Life sciences or clinical trials experience.
Culture & Benefits
Hybrid work environment with an international and collaborative team.
Private health coverage for physical and mental well-being.
Company events and a pet-friendly office.
MacBook provided for work.
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