Tech Lead: AI & Innovation

• Have proven people leadership experience: you have led an engineering team (ideally 3+ engineers), including hiring, performance conversations, career development and coaching.
• Have excelled somewhere, somehow through an impactful technical contribution, one which we can talk about, and still enjoy writing code yourself.
• Have deep hands-on experience across the stack (frontend, backend, data, infrastructure/cloud) and a track record of architecting and shipping production-grade software, preferably with AI components (LLMs, embeddings, RAG pipelines, autonomous agents, PyTorch/TensorFlow).
• Have experience developing AI agents and integrating them into business workflows.
• Be on top of the latest tools, models and trends in AI-assisted software engineering. You are excellent at context engineering (incl. prompting), know when to leverage which model, and have first-hand experience with Claude Code or Cursor, and you know how to roll these practices out across a team.
• Know how to evaluate what gets built. You can design eval sets, work with LLM-as-judge or ground-truth data, use tracing and observability tooling to find and fix regressions, and make evaluation a team habit.
• Practice a truly agnostic approach to stack and tools: you pick the right tech for the problem, not vice versa, and can explain your choices to both engineers and business stakeholders.
• Balance autonomy and alignment: you drive your team from idea to finished product independently, while knowing when to involve, align with or escalate to others.
• Have the ability to thoughtfully challenge ideas and drive constructive discussions with engineers, product owners, the Chief Product Officer and business leadership.
• Lead with humility: you create psychological safety, give and receive honest feedback, and measure your success by the success of your team.
• Reside within ±3 hours of Central European Time (to enable effective collaboration), at best in one of our office locations in Barcelona, Berlin, Frankfurt, Leipzig, and Sevilla.
• Full professional proficiency in English at C2 level.
• Professional proficiency in German at C1 level.

Bonus

• Experience building or scaling an engineering team in a startup or scale-up environment.
• Prior experience integrating AI into SaaS business workflows, ideally in a client-facing or forward-deployed setup.
• Familiarity with the modern AI-tooling ecosystem (agents, memory systems, vector databases, orchestration frameworks).
• Experience working with distributed or multi-location teams.