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Founder | Headhunter | Chief Growth Officer | UK & Middle East
CTO | Chief Technology Officer | Chief AI Officer | VP of Engineering
A PE backed scale-up is hiring a commercial and technical CTO to lead the end-to-end technology function. The CTO will define and execute the AI-first technology strategy, modernise the platform, and drive the development of proprietary GenAI capabilities, agentic tooling, and data driven products. This role blends deep technical expertise with hands on operational leadership and value creation in a PE environment.
The CTO will be central to realising the product vision, scaling technical capability, and delivering platform innovation that materially impacts revenue and margin.
Key responsibilities:
* Own and deliver a roadmap that embeds GenAI, agentic automation, and advanced data pipelines across all product lines
* Lead transition from static analytics to dynamic, AI-native solutions, including LLM integration and real-time decision systems
* Build scalable, secure, cloud-native data infrastructure (AWS, Azure, GCP) to support multi-tenant SaaS delivery
* Oversee the development of modular APIs, vector databases, embeddings, and RAG patterns
* Build and lead high-performing engineering, ML, and data platform teams
* Define and enforce technical architecture standards, code quality, and release velocity metrics
* Introduce MLOps and AIOps practices to ensure robust model deployment, observability, and performance tuning
* Evaluate and implement orchestration tools for agentic task chaining and intelligent automation
* Lead internal R&D efforts to turn POCs into scalable commercial features
Value creation:
* Align technology delivery to PE value levers including ARR growth, data monetisation, gross margin improvement, and IP defensibility
* Participate in investor presentations, board updates, and technical due diligence
* Support buy versus build strategy with technical integration and platform consolidation across acquired entities
* Experience as a CTO or VP Engineering in a data platform or SaaS business (PE-backed or VC-backed)
* Deep understanding of GenAI infrastructure, including LLM fine tuning, prompt engineering, vector search, and agent orchestration
* Strong architectural knowledge across modern data stacks (e.g. dbt, Snowflake, Kafka, Databricks, LangChain, Pinecone, etc.)
* Demonstrated success in scaling platforms and teams to support high availability, multitenant enterprise environments
* Commercial mindset with board level communication skills and investor engagement experience
Seniority level
* Seniority level
Executive
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Data Infrastructure and Analytics and Software Development
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