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6 дней назад

Engineering Manager (SaaS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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