Senior Engineering Manager
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In this role you will lead GenAI and Agentic Platform initiatives, guiding two cross-functional teams from experimentation to production. You’ll shape long-term architecture, foster platform reliability, and partner with Product, Applied Science, Data, Security, and Engineering to align investments with outcomes. This is a hands-on leadership role focused on scalable, safe AI infrastructure that enables company-wide AI capabilities. You’ll drive strategy, execution, and organizational health to advance Preply’s AI-powered learning platform.
Compensaciones / Beneficios- monthly lesson allowance
- Learning & Development budget
- time off for self-development
- equity and health insurance
- relocation package to Barcelona
- mental health support
- Set long-term engineering vision for GenAI and Agentic Platforms and unify them as a coherent platform
- Define outcomes with Product Manager and measure platform impact
- Lead and develop 8–12 engineers across two teams with performance management and coaching
- Oversee hiring quality, team composition, and operating models amid changing needs
- Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions, and control planes
- Translate strategy into actionable plans balancing foundational investment with near-term needs while managing trade-offs
- Align senior stakeholders across Product, Applied Science, Data, Security, and Engineering on standards and priorities
- 8+ years of software engineering experience
- 5+ years in engineering management and leading multiple teams or a multi-squad area
- Track record of hiring, coaching, and retaining high-performing teams
- Strong depth in platform engineering, backend or distributed systems, ML infrastructure or developer infrastructure
- Practical experience with production GenAI or Agentic systems and related concerns (model access, evaluation, observability, retrieval, orchestration, safety)
- AI expertise in using Agentic AI for architecture, planning, and decision-making with governance and safety nets
- Experience leading platform products with strong self-service, API design, and developer experience
- Clear communication and stakeholder leadership to align teams with different incentives
- Strong communication and stakeholder management
- Coaching and people development
- Strategic thinking with ability to balance long-term vision and near-term needs
- Platform engineering
- Backend or distributed systems
- ML infrastructure
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