At a Glance
- Tasks: Shape the future of intelligent advertising products using AI and machine learning.
- Company: Fast-growing ad tech company revolutionising retail media across e-commerce platforms.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Join a vibrant team in London, working closely with cross-functional experts.
- Why this job: Make a real impact in the dynamic world of digital advertising with cutting-edge technology.
- Qualifications: Experience in product management, AI, and strong analytical skills required.
The predicted salary is between 60000 - 80000 € per year.
A fast-growing advertising technology organisation is advancing how brands, sellers, and agencies manage retail media across major e-commerce platforms. Through the combination of artificial intelligence, predictive analytics, and deep industry expertise, the company delivers powerful tools that enable advertisers to optimise campaigns, scale operations, and achieve stronger performance outcomes. By blending advanced automation with human insight, the organisation provides flexible advertising solutions that bring transparency, efficiency, and measurable impact to an increasingly complex digital advertising landscape.
An innovative technology company is seeking an AI Product Manager to help shape the next generation of intelligent advertising products. This role will sit at the intersection of product, machine learning, data science, and engineering, translating complex advertising challenges into scalable AI-driven solutions. The successful candidate will guide the development of features such as predictive models, optimisation systems, automated workflows, and intelligent insights that help advertisers improve performance and decision-making. Working closely with cross-functional teams, this individual will play a key role in defining product strategy, delivering impactful AI capabilities, and ensuring that new technologies create meaningful value for users. This position is based in London with in-office collaboration Monday through Thursday.
Responsibilities:- Define and drive the roadmap for AI-powered features including prediction models, optimisation engines, and automated decision systems.
- Translate advertiser needs and business challenges into machine-learning product opportunities.
- Collaborate with engineering, data science, and design teams to deliver high-quality AI products.
- Partner with technical teams to define data requirements, model evaluation metrics, and performance benchmarks.
- Lead experimentation initiatives such as A/B testing and model performance analysis.
- Develop clear product documentation including PRDs, user stories, and feature specifications.
- Ensure AI capabilities are transparent, reliable, and intuitive for users.
- Balance automation with appropriate levels of user control, configurability, and safeguards.
- Monitor product and model performance using metrics related to accuracy, adoption, ROI, and customer impact.
- Align stakeholders across product, operations, and leadership teams through clear communication and product strategy.
- Bachelor’s degree in Computer Science, Engineering, AI/ML, Business, or a related field.
- 2–5 years of product management experience, ideally in AI, machine learning, AdTech, Martech, analytics, or optimisation platforms.
- Proven experience delivering data-driven or machine learning-enabled products.
- Strong understanding of concepts such as model training, prediction systems, optimisation logic, and experimentation frameworks.
- Experience working with engineering and data science teams in Agile environments.
- Analytical mindset with experience using SQL, dashboards, or data analysis tools.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work from a London office four days per week.
- Experience with retail media, Amazon Ads, DSP platforms, or marketing technology.
- Familiarity with generative AI, large language models, or agent-based systems.
- Experience designing explainability, trust, or governance features for AI systems.
AI Product Manager - Retail Media & Ads employer: White Bay
Join a dynamic and innovative advertising technology organisation that is at the forefront of transforming retail media through AI and predictive analytics. With a strong emphasis on collaboration and employee growth, this London-based company offers a vibrant work culture where your contributions directly impact the development of cutting-edge advertising solutions. Enjoy the benefits of flexible working arrangements, opportunities for professional development, and the chance to work alongside industry experts in a fast-paced environment that values creativity and insight.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager - Retail Media & Ads
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your knowledge of AI and product management. Use real-world examples from your experience to demonstrate how you can tackle challenges in the role.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Tailor your approach to each organisation, especially if they align with your passion for AI and advertising technology. We recommend applying through our website for the best chance!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional thoughts or insights you have about the role to show your enthusiasm and commitment.
We think you need these skills to ace AI Product Manager - Retail Media & Ads
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Product Manager. Highlight your experience with AI, machine learning, and product management. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our mission. Don’t forget to mention specific projects or achievements that relate to retail media and ads.
Showcase Your Technical Skills:We want to see your analytical mindset in action! Include any relevant experience with SQL, data analysis tools, or A/B testing. This will help us understand how you can contribute to our AI-driven solutions.
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 don’t miss out on any important updates about the process!
How to prepare for a job interview at White Bay
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and how they apply to advertising. Be ready to discuss specific examples of predictive models or optimisation systems you've worked with, as this will show your technical expertise and relevance to the role.
✨Understand the Product Landscape
Familiarise yourself with the latest trends in retail media and advertising technology. Knowing about competitors and their offerings can help you articulate how you can contribute to the company's product strategy and innovation.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on concepts like model training and experimentation frameworks, and be prepared to explain them clearly, especially to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with engineering, data science, and design teams in the past. Highlighting your teamwork skills will show that you're a great fit for their collaborative culture.
