Job Title: Engineering Manager (AI)

Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.

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. xqysrnh 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

Engineering Manager (AI)

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