CTO | AI and Business Unit Leadership

Jobgether; France; On-site; EUR 180,000 - 320,000; Full time

Benefits offered by this job

Direct partnership with CEO

Significant AI infrastructure invest

Real-world technical scale

Business ownership

Job summary

Jobgether seeks a Chief Technology Officer to lead a technology organisation and own a business unit in France. You will shape technology strategy, translate business priorities into impactful products, and drive AI, LLMs, and automation across products and engineering workflows.

You will build on substantial AI infrastructure, including a GPU cluster, and scale high-throughput, real-time platforms while ensuring reliability, security, and cost efficiency.

Qualifications

• Strong engineering or software architecture background.
• Experience connecting architectural and technology decisions with product priorities.
• Commercial mindset with ownership of a business unit.
• Practical experience building and using AI tools and workflows.

Responsibilities

• Define strategic tech direction and lead a business unit.
• Guide investment decisions to align technology with business goals.
• Identify and implement AI, LLMs, and automation across products.
• Establish success metrics and productionize initiatives.

Skills

Engineering leadership

AI strategy

Product alignment

Strategic thinking

Communication

Tools

GPU cluster

LLM tooling

Data platforms

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a CTO | AI and Business Unit Leadership based in France.

We are looking for an experienced technology executive to lead a technology organisation while taking ownership of a business unit. Working closely with the CEO, you will shape technology strategy and translate business priorities into impactful products and measurable commercial outcomes. A major focus will be turning AI, large language models, and automation into practical capabilities across products and engineering workflows. You will build on substantial AI infrastructure, including a dedicated NVIDIA B300 GPU cluster, to accelerate innovation and deliver tangible value. The role also involves evolving high-throughput, real-time platforms while maintaining reliability, scalability, and security. This is an opportunity to combine technical leadership, commercial responsibility, and organisational development in a data-driven, fast-moving environment.

Accountabilities

• Technology strategy and business ownership: Partner with the CEO to define strategic direction and lead a business unit, taking responsibility for its priorities, execution, and overall outcomes.
• Business and product alignment: Work closely with product and commercial teams to understand customer needs, guide investment decisions, and ensure technology delivery supports business objectives.
• AI integration across products and engineering: Identify and implement practical applications of AI, LLMs, and automation across products and development workflows.
• AI performance and value assessment: Establish clear success metrics and move promising initiatives into production, evaluating them against quality, reliability, cost, and customer value.
• Leadership and team development: Lead through Engineering Managers, Tech Leads, infrastructure leaders, and Data Science teams, providing clear direction, developing leadership capabilities, and fostering accountability.
• Infrastructure and platform evolution: Guide the development of high-throughput, real-time systems to support continued growth while maintaining resilience, security, scalability, and operational excellence.
• Execution and continuous improvement: Balance experimentation and delivery speed with the technical discipline required to maintain dependable services for partners.

Requirements

• Strong engineering or software architecture background, with the technical credibility to challenge design decisions and engage effectively with senior engineers.
• Experience connecting architectural and technology decisions with product priorities, customer requirements, and long-term business objectives.
• Commercial mindset and willingness to take ownership of a business unit, including its priorities, execution, and results beyond the engineering roadmap.
• Practical experience building and using AI tools and workflows, with a clear understanding of where AI, LLMs, and automation create value and where their limitations lie.
• Ability to deploy AI capabilities responsibly in production environments, considering reliability, quality, cost, and measurable business impact.
• Proven experience leading engineering organisations through Engineering Managers, Tech Leads, or other senior technical leaders.
• Track record of building strong teams and developing a culture of autonomy, accountability, and continuous improvement.
• Strong strategic thinking, decision-making, and communication skills, with the ability to align technical and commercial stakeholders.
• Ability to balance innovation and rapid execution with the operational discipline required for real-time, high-availability platforms.

Benefits

• Direct partnership with the CEO: Work closely with a technical founder as a strategic counterpart, contributing to key decisions and translating ambitious ideas into execution.
• Significant AI infrastructure investment: Build on a dedicated NVIDIA B300 GPU cluster and explore opportunities to create lasting value through AI.
• Real-world technical scale: Work with data-rich, real-time platforms and help shape technology used to deliver reliable experiences for partners.
• Business ownership: Take responsibility for a business unit while influencing technology strategy, product direction, and commercial outcomes.
• Leadership impact: Develop senior technical leaders, strengthen the organisation, and shape how teams collaborate and deliver.
• Opportunity to build: Help define the next stage of technology and business growth, with room to move quickly and focus on meaningful priorities.