CTO — AI-First Mobile Video Platform Leader

Datacontroller Toogeza Ltd.; United States; Remote; USD 180,000 - 300,000; Full time

Job summary

Toogeza is seeking a Chief Technology Officer to lead a 6-person engineering team across iOS, Android, and backend. You will own the end-to-end mobile video stack, including on-device inference, and drive a strategic migration of tasks from the cloud to devices to improve unit economics.

You will manage agentic AI architectures, memory systems, and production-grade LLMs while steering subscription growth infrastructure and cost optimization.

Qualifications

• Must have CTO/VP Engineering/Head of Engineering experience in a consumer mobile subscription company.
• Experience leading a team of 10+ engineers is required.
• Production mobile video stack expertise: Core Image, Metal, OpenGL ES/Vulkan, AVFoundation, MediaCodec.
• Experience migrating workloads from backend to device for on-device inference / processing.
• Subscription growth experience at Codeway / Bending Spoons / Lightricks / Photoroom.
• Hands-on with agentic AI and LLMs in production, including memory systems and evaluation loops.

Responsibilities

• Own live iOS app and Android launch; ensure auto-edit quality and stability.
• Oversee agentic AI architecture, memory systems, and LLM orchestration.
• Drive unit economics through migration of workloads to device and optimization of AI costs.
• Lead engineering org: hiring, performance reviews, onboarding, and culture.
• Define strategy for subscription growth infrastructure and analytics.

Skills

Mobile video stack

Agentic AI

Subscription growth

Engineering leadership

Budgeting / cost decisions

Product/engineering alignment

Tools

Core Image

Metal

OpenGL ES

Vulkan

AVFoundation

MediaCodec

pgvector

Neo4j

LLM stacks

ASR/TTS

Job description

Toogeza is seeking a Chief Technology Officer to lead a 6-person engineering team across iOS, Android, and backend. You will own the end-to-end mobile video stack, including on-device inference, and drive a strategic migration of tasks from the cloud to devices to improve unit economics.

You will manage agentic AI architectures, memory systems, and production-grade LLMs while steering subscription growth infrastructure and cost optimization.