Descripción del trabajoJob Title: Engineering Manager (AI)Salary: €100-130k + up to 35% bonus (~20% guaranteed, rest based on performance)Equity: up to €80kLocation: Madrid (preferred) or Barcelona (1-2 office days)Company: autonomous AI agents for enterprise clientsTeam: ~30Funding: ~$25m (Series A)About the companyThis 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 companys core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether its 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 roleYoull 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, youll 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, youll 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/RedisProven experience building and operating high-RPS, distributed, production-grade systemsComfort with SQL/NoSQL, cloud infra, CI/CD and production observabilityStrong working knowledge of LLMs, RAG, and agentic AI systems (you dont need to have built the agents yourself, but you understand how they work and what breaks them)A genuine "still in the code" mindset — youve led teams without stepping away from buildingGenuine people-management track record - at least 5-6 direct reports, comfortable owning performance management, salary/comp conversations and career development, not just technical leadershipStartup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeedBonus points for:Exposure to conversational/voice AI infrastructure (Twilio/IVR, STT/TTS, latency optimisation)Experience leading 8+ direct reports
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📌 Engineering Manager (Ai) (Alcobendas)
🏢 Wave Group
📍 Alcobendas