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- Tasks: Lead and innovate in AI-driven advertising solutions while mentoring a talented engineering team.
- Company: Join Publicis Performics, a global leader in digital marketing and performance media.
- Benefits: Enjoy a supportive culture, competitive salary, and opportunities for personal and professional growth.
- Why this job: Make a real impact in the fast-paced world of digital marketing with cutting-edge technology.
- Qualifications: Extensive software engineering experience, strong coding skills, and expertise in AI/ML technologies.
- Other info: Be part of an inclusive community that values authenticity, collaboration, and continuous improvement.
The predicted salary is between 100000 - 150000 £ per year.
Company description
About Publicis Performics
Are you ready to re-invent digital marketing? At Performics, we're accelerating the great missions of our clients in the ever-evolving world of search engine marketing, programmatic, social media, commerce, and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll give you the tools, support, and freedom to lead, innovate, and grow. We hire exceptional people for our global headquarters in the US alongside major cities across the world. Our international presence spans 57 markets (and growing) including regional hubs in London, Dubai, and Singapore.
Overview
As the VP of Engineering, you will be a key technical leader responsible for implementing engineering frameworks, processes, and AI-driven solutions that enable our performance products to scale globally. Reporting to the Head of Engineering, you will combine hands-on technical expertise with strategic thinking to architect and build cutting-edge AI-powered advertising solutions. This role requires deep proficiency in AI/ML technologies, modern software engineering practices, and the ability to translate complex technical requirements into scalable, production-ready systems. You will be instrumental in establishing coding standards, CI/CD pipelines, and engineering best practices while actively contributing to the codebase alongside your team. The ideal candidate is equally comfortable architecting AI agent systems as they are debugging production issues or reviewing pull requests. You thrive in fast-paced environments, stay current with emerging AI technologies, and are passionate about building systems that deliver measurable business impact across digital touchpoints.
Responsibilities
- Technical Leadership & Hands-On Development
- Lead by example through active contribution to the codebase, including designing and implementing core AI/ML features and infrastructure components.
- Architect and develop AI agent systems, LLM integrations, and machine learning pipelines that power our performance advertising products.
- Conduct code reviews, establish coding standards, and mentor team members on AI/ML best practices and software engineering principles.
- Design and implement APIs, data pipelines, and microservices that integrate with platforms including Google, Meta, Amazon, and programmatic advertising systems.
- Engineering Frameworks & Processes
- Define and implement engineering frameworks that enable rapid development and deployment of AI-powered features at scale.
- Establish CI/CD pipelines, automated testing strategies, and deployment processes that ensure reliability and velocity.
- Drive adoption of DevOps and MLOps best practices, including model versioning, monitoring, and continuous improvement workflows.
- Create technical documentation, architecture decision records, and knowledge bases that enable team scalability.
- AI Strategy & Innovation
- Evaluate and implement emerging AI technologies, frameworks (e.g., A2A, Deep Agents, Amazon Bedrock), and LLM providers to maintain competitive advantage.
- Design AI agent architectures and orchestration patterns that optimize advertising performance across channels.
- Build context engines, knowledge bases, and retrieval-augmented generation (RAG) systems for brand-specific optimization.
- Drive cost optimization strategies for AI/ML infrastructure while ensuring scalability and performance.
- Team Development & Collaboration
- Mentor and develop engineering talent, fostering a culture of technical excellence, innovation, and continuous learning.
- Collaborate with product management, data science, and other departments to align technical solutions with business objectives.
- Manage technical debt strategically, balancing short-term delivery with long-term sustainability.
- Support resource planning, technical hiring, and skills development within the engineering team.
Qualifications
Required
- Extensive years of software engineering experience with at least 3 years in a senior or leadership role, preferably in performance media, digital marketing, or advertising technology.
- Strong hands-on coding proficiency in Python and JavaScript/TypeScript, with production experience in frameworks such as React, Node.js, and FastAPI.
- Deep expertise in AI/ML technologies including LLMs, prompt engineering, AI agents, and vector databases.
- Experience with AI orchestration frameworks such as Strands, LangGraph, A2A, or Amazon Bedrock Agents.
- Strong understanding of cloud services (AWS, Azure, or Google Cloud), containerization (Docker, Kubernetes), and serverless architectures.
- Experience with database design and management, including SQL databases, NoSQL solutions, and data warehousing.
- Proven track record of scaling MVPs to production systems with focus on cost optimization and performance.
- Excellent communication skills with ability to translate complex technical concepts for diverse stakeholders.
Preferred
- Experience with digital advertising platforms (Google Ads API, Meta Marketing API, Amazon Ads API) and programmatic advertising.
- Background in building multi-agent AI systems and retrieval-augmented generation (RAG) architectures.
- Experience with MLOps practices including model monitoring, A/B testing, and continuous model improvement.
- Familiarity with data engineering tools and practices for building analytics and optimization pipelines.
Additional information
About the Way We Work
- Be You: We believe you should be able to be the same person at work as you are at home. Authenticity and trust are important. Be who you are, mean what you say, allow other teammates to do the same.
- Know Your Teammates: We know social opportunities reinforce relationships, and relationships shape our attitudes. Everyone is equal parts teacher and learner, so invest in each other. We are a community. Play with intention.
- Make It Better: We believe there's always room for growth—professionally, personally, and in our communities. We identify opportunities for improvement, innovation, and learning and encourage our clients to do the same.
- Collaborate Expertly: Everyone comes to us with a different background and provides unique value. Speak up, embrace a 'what if' attitude, and support the people around you. Collaborate with your team, hone your expertise, and remember—the best idea wins.
We are dedicated to ensuring an inclusive environment where employees feel empowered to share their experiences and ideas. We encourage participation in a variety of Business Resource Groups, including groups for Women, People of Color, Veterans, the LGBTQIA community and allies, and more.
VP Engineering in London employer: Publicis Groupe
Contact Detail:
Publicis Groupe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Engineering in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you would approach building AI systems or solving engineering challenges. The more you prepare, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace VP Engineering in London
Some tips for your application 🫡
Show Your Passion for AI/ML: When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you’ve used these technologies in the past and how you plan to innovate with them in the future.
Be Specific About Your Experience: Don’t just list your skills; give us examples of how you've applied them. Whether it’s coding in Python or leading a team, share specific projects or challenges you’ve tackled. This helps us understand your hands-on experience.
Tailor Your Application: Make sure your application speaks directly to the role of VP Engineering. Highlight your leadership experience and technical expertise that aligns with our needs. A tailored application shows us you’re genuinely interested in this position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Publicis Groupe
✨Know Your Tech Inside Out
As a VP of Engineering, you need to demonstrate your deep understanding of AI/ML technologies and software engineering practices. Brush up on the latest frameworks and tools mentioned in the job description, like Python, JavaScript, and cloud services. Be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Style
This role requires strong technical leadership, so think about how you can convey your mentoring and team development skills. Prepare examples of how you've fostered a culture of innovation and collaboration in previous roles. Highlight your experience in managing technical debt and balancing short-term delivery with long-term sustainability.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems or system design scenarios that relate to AI agent systems or microservices. This will not only showcase your hands-on skills but also your ability to think strategically under pressure.
✨Align with Company Values
Publicis Performics values authenticity, collaboration, and continuous improvement. Be prepared to discuss how your personal values align with theirs. Share experiences where you've embraced a 'what if' attitude and contributed to a positive team environment. This will show that you're not just a fit for the role, but for the company culture too.