toogeza - CTO
Requirements
• CTO / VP Engineering / Head of Engineering experience in a consumer mobile subscription company. Experience leading a team of 10+ engineers is required; companies of 30+ people — strong plus • Production video/photo stack: Core Image, Metal, OpenGL ES / Vulkan, AVFoundation, MediaCodec — both mobile platforms • Experience migrating workloads from backend to device (on-device inference, on-device video processing) with measurable unit-economics impact • Subscription growth experience at the level of Codeway / Bending Spoons / Lightricks / Photoroom — paywall optimization, MMP attribution, post-ATT/SKAN, LTV-driven decisions • Agentic AI / LLMs in production: you understand the difference between "calling the OpenAI API" and building an agent system with memory, tools, and an eval loop. Hands-on experience with voice stacks (ASR/TTS, real-time voice agents) — required • Management maturity: hiring, performance reviews, budgeting, cost-aware decisions, business orientation • Production launch experience with an auto-edit video or voice-controlled app (Captions / Descript / Opus Clip / Submagic / CapCut-class) • Proprietary ML models in production — fine-tuning, on-device CoreML/TFLite, model distillation • Experience optimizing third-party AI API cost and latency (LLM, ASR, TTS) through hybridization and in-house replacements • If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
Responsibilities
• PRODUCTION PRODUCT • Full technical ownership of the live iOS app and the Android launch • Auto-edit quality and stability: scene understanding, shot selection, beat matching, subtitle generation, thematic coherence • Voice agent: latency, recognition accuracy, dialog quality, selection and optimization of third-party providers (Whisper / Deepgram / OpenAI Realtime / ElevenLabs) • Hybrid pipeline: video analysis server-side, assembly on-device — and the strategic shift toward more on-device without quality loss • Operational excellence: uptime, incident management, AI output quality monitoring • UNIT ECONOMICS AND COST OPTIMIZATION • Migrating tasks from backend to device as the key unit-economics lever — prioritization, technical plan, quality metrics during migration • GPU inference and server-side video pipeline optimization (FFmpeg, queues, CDN) • Cost management for third-party AI APIs (LLM, ASR, TTS, music generation/licensing) — hybrid of in-house and third-party • Cost-aware decisions across cloud, third-party SDKs, infrastructure • ENGINEERING ORGANIZATION • Manage the current engineering team (6 people: 2 AI, 2 iOS, 1 Android, 1 backend) • Targeted hiring of 1–2 people over 6 months to address specific tasks and stack gaps • Performance reviews, technical onboarding, engineering culture • Process design — sprint cadence, code review, on-call, incident management — proportionate to stage, without premature process overhead • AGENT ARCHITECTURE AND PLATFORM • Evolve product's agentic architecture (Operator / Director / Producer hierarchy) • Memory system on pgvector + Neo4j (GraphRAG hybrid retrieval), Knowledge Graph, user portrait pipeline • Voice-first interface — optimize end-to-end latency and cost through provider selection and stack hybridization • Evaluation infrastructure for LLM agents — LLM-as-judge, regression tests for edit quality and tone of voice • MOBILE VIDEO STACK • iOS: Swift, Core Image, Metal, AVFoundation, Vision; on-device CoreML inference where it improves unit economics • Android (in development): Kotlin, OpenGL ES / Vulkan, MediaCodec, CameraX, ML Kit / TensorFlow Lite • Server-side rendering pipeline (FFmpeg, GPU inference), CDN, video delivery • On-device video composition, real-time preview, optimization across device classes • GROWTH INFRASTRUCTURE AND UNIT ECONOMICS • Subscription stack: RevenueCat / Adapty, paywall A/B testing, server-driven paywalls • Attribution: AppsFlyer / Adjust / Branch, SKAN / AdAttributionKit, probabilistic modeling, web-to-app funnels • Product analytics and data warehouse: event pipeline, BI, cohort analysis, LTV/ROAS dashboards • STRATEGY AND INVESTOR READINESS • Translate company strategy into a roadmap: from tactical quick wins to stable long-term • Tech due diligence readiness for the next round • Direct partner to the founder on product and business decisions
Benefits
• Our product is entering a phase where the engineering team must become a full product engineering vertical with its own tempo, processes, and culture. We need a CTO who simultaneously owns three intersections: • Production mobile video stack at the level of Core Image / Metal / OpenGL ES / AVFoundation, video processing, rendering, on-device inference — real experience, not theory • Agentic AI and LLMs in production — LLM orchestration, RAG/GraphRAG, agentic architectures, memory systems, evaluation frameworks, hands-on with voice stacks • Subscription growth infrastructure at Codeway / Bending Spoons / Lightricks level — paywall A/B, MMP attribution, SKAN/AdAttributionKit, LTV/ROAS pipelines, cost optimization • This is the owner of the product engineering vertical, with direct accountability for the production product, hiring, unit economics, and technical strategy.
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