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Journee seeks a hands on VP of Technology in Berlin to lead a cross functional team of up to 10 engineers across ML, backend, frontend and infra, owning architecture for real time conversational AI, voice avatars, and the developer platform. You will set cloud strategy across AWS, GCP and Azure, drive scalable fault tolerant systems, and optimize real time inference and model orchestration at high concurrency. This builder role targets 8 to 12 plus years and 5 plus engineers led, with the ability to code and partner with founders on product direction and culture, with a CTO growth path. In 12 months expect lower latency, stronger platform adoption, enterprise reliability, and a 15-20 person team. How to apply: tailor your resume to prove leadership, production ML, API platform work, startup scale up experience, and measurable results, show ownership, and highlight collaboration with founders and willingness to be onsite in Berlin.

VP of Technology

Who We Are
We’re Journee — The Human AI company. 

We build real-time conversational AI agents for enterprise brands, powered by our own low-latency streaming and AI infrastructure. Our proprietary low-latency streaming and GPU orchestration infrastructure powers interactive AI experiences used by companies like BMW, H&M, Siemens, WWF, and Condé Nast.

We recently launched Ojin, our developer platform for building and scaling real-time AI agents. It provides the APIs, inference infrastructure, and orchestration layer needed to run conversational AI systems in production.

The Role

This is a hands-on technical leadership role.

You will lead a team of up to 10 engineers (ML, backend, frontend, infra), while remaining deeply involved in architecture, performance optimization, and product direction. We’re looking for a high energy builder — someone ambitious, technically sharp, and excited to grow into a CTO level leader over time.

This is for someone who wants to build something meaningful and take ownership of a real system — not just manage one.

What You’ll Own

Architecture & Technical Direction

• Own overall system architecture across:
  
  
• Conversational AI systems (LLMs, orchestration, real-time inference)
• Voice + avatar pipelines (latency-sensitive systems)
• Developer platform (APIs, SDKs, tooling, observability)
  
  
• Drive our cloud infrastructure strategy (AWS/GCP/Azure)
  Ensure scalability, reliability, and enterprise-grade security

Performance & ML Systems

• Optimize real-time AI inference (latency, throughput, cost)
• Improve orchestration of models (LLMs, TTS/STT, and related components)
• Design systems that handle high concurrency at enterprise scale
• Balance latency, cost, and product quality across deployments

Developer Platform

• Lead API architecture and SDK strategy
• Improve developer onboarding and self-serve capabilities
• Build scalable abstractions for agent creation and deployment
• Strengthen observability, debugging, and developer tooling across the platform

Team & Culture

• Lead and mentor a team of up to 10 engineers
• Attract and hire strong technical talent
• Set a culture of ownership, velocity, and accountability
• Keep planning and delivery lightweight, focused, and effective

Hands-On Contribution

• Review architecture and critical code paths
• Prototype and unblock high impact work
• Step into performance or production challenges when needed

What We’re Looking For

• 8-12+ years in engineering, including leadership experience
• Experience leading engineering teams (5+ engineers)
• Strong cloud architecture background (AWS/GCP/Azure)
• Deep understanding of distributed systems and scalable backend architecture, including APIs and platform design
• Experience running ML systems in production
• Strong full-stack understanding (backend + frontend)
• Experience working directly with founders

Highly Valuable Experience:

• ML inference performance optimization
• Real-time/low-latency systems
• Building developer platforms or APIs at scale
• Startup or scale-up background

Profile Fit

• Builder mentality - not just a manager
• High ownership and strong execution energy
• Comfortable with ambiguity
• Product minded, not purely infrastructure driven
• Willing to lead and code

What Success Looks Like (12 Months)

• Reduced latency and optimized inference costs
• Developer onboarding simplified and platform adoption increased
• Enterprise-grade reliability and scalability across customer deployments
• Clear technical roadmap aligned with product strategy
• A strong culture of ownership and execution
• Team grown to 15-20 high quality engineers

Why Join

• Real product-market validation
• Revenue-generating AI platform
• Real traction in enterprise conversational AI
• Direct impact on architecture and culture
• Opportunity to grow into CTO

Journee is committed to creating a diverse and inclusive workplace where everyone is treated with dignity, respect, and fairness. We value diversity in all its forms, including but not limited to race, ethnicity, gender, sexual orientation, age, religion, national origin, disability, and veteran status. We believe that a diverse and inclusive workplace leads to better business outcomes, stronger relationships with our customers and partners, and a more fulfilling work experience for our employees.