At a Glance
- Tasks: Lead the development of innovative AI products and shape product strategy.
- Company: Fast-growing consumer intelligence and analytics business in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and help build next-generation AI solutions.
- Why this job: Be at the forefront of AI technology and make a real impact on consumer insights.
- Qualifications: Experience in data, analytics, and product management with strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
- Product Manager – AI & Consumer Intelligence
- London
- 3x a week
A fast-growing consumer intelligence and analytics business is looking for an experienced Product Manager to lead the development of innovative AI-focused products and own a large-scale consumer panel platform.
This is a hands-on product leadership role, responsible for shaping product strategy, defining roadmaps, and working cross-functionally with data, engineering, commercial, and operations teams to turn complex behavioural and AI interaction data into valuable client-facing products.
The Role
- Own the strategy and roadmap for AI and consumer intelligence products.
- Drive the evolution of products from bespoke insights and reporting into scalable, Saa S-style solutions.
- Translate commercial opportunities and client requirements into clear product specifications.
- Lead product development across dashboards, workflows, analytics, and user-facing features.
- Take ownership of a consumer panel platform, improving user experience, engagement, retention, and data quality.
- Partner closely with engineering, data science, analytics, sales, and leadership teams to deliver high-impact products.
Requirements
- Background in data, analytics, Saa S, consumer insights, martech, adtech, research, or measurement products.
- Proven ability to transform complex datasets into commercially valuable products.
- Experience working with engineering, data, and commercial stakeholders.
- Strong roadmap planning, prioritisation, and product discovery experience.
- Excellent communication and stakeholder management skills.
- Nice to Have
- Experience with AI, LLMs, search technologies, or conversational data.
- Knowledge of consumer panels, digital analytics, market research, or media measurement.
- Familiarity with dashboards, BI tools, SQL, or data pipelines.
- Experience with mobile app products, onboarding, engagement, and retention initiatives.
This is an opportunity to play a key role in building next-generation AI and consumer intelligence products within a business at the forefront of behavioural data and emerging technology
AI Product Manager - AI Consumer Intelligence in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager - AI Consumer Intelligence in London
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We think you need these skills to ace AI Product Manager - AI Consumer Intelligence in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
