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VP of Technology

JJournee
Seniority
Director
Model
In-Office
Sector
AI
Salary
Undisclosed
Contract
Full-Time

About the role

This is a hands-on VP of Technology position leading up to 10 engineers while remaining deeply involved in architecture and performance optimization. You'll own the technical direction of Journee's real-time conversational AI platform that powers interactive experiences for enterprise clients like BMW, H&M, and Siemens.

What you'll do

  • Own overall system architecture across conversational AI systems, voice/avatar pipelines, and developer platform APIs
  • Drive cloud infrastructure strategy and ensure scalability, reliability, and enterprise-grade security
  • Optimize real-time AI inference for latency, throughput, and cost efficiency
  • Lead API architecture and SDK strategy for the developer platform
  • Build scalable abstractions for agent creation and deployment
  • Lead and mentor a team of up to 10 engineers across ML, backend, frontend, and infrastructure
  • Attract and hire strong technical talent while setting culture of ownership and accountability
  • Review architecture and critical code paths, prototype high-impact work

What you'll need

  • 8-12+ years in engineering with leadership experience managing 5+ engineers
  • Strong cloud architecture background (AWS/GCP/Azure)
  • Deep understanding of distributed systems and scalable backend architecture
  • Experience running ML systems in production
  • Strong full-stack understanding (backend + frontend)
  • Experience working directly with founders
  • Builder mentality with high ownership and execution energy
  • Product-minded approach, comfortable with ambiguity

Nice to have

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

What they offer

  • Revenue-generating AI platform with real product-market validation
  • Direct impact on architecture and company culture
  • Opportunity to grow into CTO role
  • Work with enterprise clients in conversational AI space
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