Lead Engineer, Commerce Technology

Company description

Publicis Media Exchange (PMX) is the global media platform for Publicis Groupe [Euronext Paris FR, CAC 40]. PMX is an omnichannel activation powerhouse that drives smart application of investment through leveraging scale, marketplace innovation, deeper partnerships and knowledge. PMX is at the forefront of the converging marketplace building data-informed, tech-enabled media to help marketers connect with consumers in a measurable way.

Why Work with Us?

The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, Trade Desk and Amazon to deliver innovative solutions that helps deliver business results to our clients.

We are seeking a passionate and experienced Technical Engineering Lead to join our extended team. This individual will play a crucial role in designing and implementing AI/LLM-powered agentic workflow solutions, working closely with our Product Lead, Stakeholders, and Specialists. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce marketing strategies for our global clients. Global teams use our applications to improve their performance results and save money on search, social, programmatic, and commerce marketing.

This is an exciting opportunity to contribute to a suite of products with a significant roadmap of features to be developed.

This role blends deep technical expertise with leadership and a passion for AI/LLM-powered solutions. You will be designing the engines powering our platform's success while fostering the growth and expertise of your team. Your deep understanding of scalable, efficient, full-stack cloud system sand expertise in modular, distributed, asynchronous architecture will directly translate into enhanced performance, reliability, and scalability for our applications. This leads to real-world impact, ultimately contributing to the success of our clients' marketing campaigns.

You will also play a key role in mentoring and guiding your team members, helping them develop their skills and reach their full potential. This is an opportunity to make a significant impact on the technical direction of our platform, nurture engineering talent, and contribute to the growth of our business.

• Guide a team of engineers in developing applications that empower our clients to optimize marketing campaigns through data-driven insights and automated actions, with a specific focus on leveraging LLMs and AI.
• Own the technical roadmap for your team, aligning it with the overall product strategy and business objectives, ensuring alignment with the company's vision for agentic AI/LLM-powered workflows.
• Design, develop, and implement robust and scalable agentic workflows utilizing LLMs and AI for various marketing applications, including:
  • Automated content generation, optimization, and personalization.
  • Predictive analytics for campaign performance and optimization.
  • Customer journey orchestration and personalized messaging.
  • Real-time data analysis and actionable insights generation.
• Drive the technical direction of the team, ensuring solutions are built with a focus on modularity, scalability, and maintainability, specifically in the context of AI/LLM-powered systems.
• Provide technical guidance and mentorship to team members, fostering a culture of collaboration and continuous learning.
• Conduct code reviews, enforce coding standards, and ensure the delivery of high-quality, maintainable code that adheres to best practices for AI/LLM and distributed system development.
• Proactively identify and address technical debt and performance bottlenecks, particularly within the context of distributed, asynchronous systems handling large datasets.
• Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, ensuring that AI/LLM capabilities are effectively integrated into the product vision.
• Lead team grooming sessions, asking questions to clarify meaning and intent, and propose deliverable slices of functionality to provide benefit to users in the shortest amount of time.
• Research and stay abreast of the latest advancements and best practices in LLMs, AI, and related technologies, evaluating their applicability to our business challenges and identifying opportunities to integrate them into our platform.

• Bachelor's degree in computer science, Engineering, or a related field.
• 8+ years experience working in teams using Agile processes, including emphasis on the importance of testing and iterating on features in development, and experience in…