Engineering Manager (Ai)
Descripción del trabajo
Job Title: Engineering Manager (AI) Salary: €100-130k + up to 35% bonus (~20% guaranteed, rest based on performance) Equity: up to ~€80k Location: Madrid (preferred) or Barcelona (1-2 office days) Company: autonomous AI agents for enterprise clients Team: ~30 Funding: ~$25m (Series A)
About the company This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world. The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America. Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.
About the role
You'll be a senior engineering leader working directly under the CTO/Co-Founder, with genuine 50/50 weight across technical ownership and people management:
- On the technical side, you'll own architecture, reliability and scale for a production platform handling real-time, high-throughput traffic, whilst staying hands-on (writing, reviewing, debugging code).
- On the management side, you'll be growing and running a high-performing AI Engineering team, scaling from ~9 to ~13 in the near future. This role includes hiring, coaching, career development, performance conversations, comp discussions etc. — not just technical leadership.
Must have requirements
- Deep backend engineering in Python — async/ASGI, Django/Channels, Celery + RabbitMQ/Redis
- Proven experience building and operating high-RPS, distributed, production-grade systems
- Comfort with SQL/NoSQL, cloud infra, CI/CD and production observability
- Strong working knowledge of LLMs, RAG, and agentic AI systems (you don't need to have built the agents yourself, but you understand how they work and what breaks them)
- A genuine "still in the code" mindset — you've led teams without stepping away from building
- Genuine people-management track record — at least 5-6 direct reports, comfortable owning performance management, salary/comp conversations and career development, not just technical leadership
- Startup pace and mentality — high energy, ownership, proactiveness, hunger to innovate and succeed
Bonus points for
- Exposure to conversational/voice AI infrastructure (Twilio/IVR, STT/TTS, latency optimisation)
- Experience leading 8+ direct reports
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