Our client is at the intersection of real-time systems and next-generation AI, building distributed infrastructure for voice-first, real-time AI applications at scale. With over €190m in funding and valued at over €890m, they are redefining what modern infrastructure can unlock in a world shaped by seamless human–machine interaction. Their platform powers high-concurrency, low-latency dialogue systems, leveraging LLMs, event-driven architectures, and deeply integrated developer tooling.

Role Overview:

The Head of Engineering will oversee a team of 25 engineers across 4 teams (with plans to scale to 60+ engineers) focused on building and evolving the company’s Product Platform - a set of centralised, reusable services that power multiple AI-driven products across the organisation.

Key Responsibilities:

• Lead and mentor engineering managers across platform and infrastructure teams.
• Define and execute a long-term technical vision that supports high-scale, low-latency systems.
• Drive platform initiatives across developer experience, observability, reliability, and performance.
• Collaborate with product and business leaders to ensure alignment between platform investments and company strategy.
• Foster a high-performance engineering culture with a focus on autonomy, technical excellence, and collaboration.
• Ensure operational excellence across platform services, from uptime and incident response to cost efficiency and scalability.

Qualifications:

• Experience in high-growth, high-tech organisations where engineering is a core product function - ideally in domains such as DevTools, AI/ML platforms, or B2B SaaS infrastructure.
• Proven leadership experience managing 25+ engineers, including oversight of multiple engineering managers.
• A strong track record of driving architectural decisions that balance speed, stability, and long-term scalability.
• Hands-on experience building internal developer platforms, scalable APIs, or ML/AI tooling used across multiple product lines.
• Willingness to work onsite in Berlin two days per week as part of a hybrid setup.

If you’re excited about building the platform layer behind the next generation of AI-powered human interaction - and leading teams that push the limits of what’s technically possible - we would love to hear from you.