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- Tasks: Lead the vision and strategy for innovative AI products and collaborate with tech teams.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Attractive salary, flexible work hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong emphasis on continuous learning and innovation.
- Why this job: Shape the future of AI while working on exciting projects that make a difference.
- Qualifications: 4+ years in product management with a focus on AI/ML technologies.
The predicted salary is between 60000 - 80000 £ per year.
The AI Product Manager will drive the product vision, strategy, and execution for our AI-powered solutions. This role demands someone who can both understand the technical intricacies of modern AI systems and translate them into compelling product experiences. You'll work at the intersection of cutting-edge research and practical product development.
Essential Duties and Responsibilities:
- Define and execute a product roadmap for AI/ML-powered features and products
- Work with the technical team to prototype and experiment with the latest AI models (LLMs, multimodal AI, generative systems) using PyTorch, TensorFlow, and Hugging Face
- Design AI workflows including prompt engineering, fine-tuning, and RAG systems
- Conduct market research and competitive analysis in the AI landscape
- Partner with engineering, design, and data science teams to bring AI products to market
- Establish success metrics and present product vision to executive leadership
- Stay current with emerging AI research and assess applicability to product development
Qualifications:
- 4+ years of product management experience, preferably in AI-focused companies
- 3+ years hands-on experience with modern AI/ML technologies
- Familiarity with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Direct experience with large language models, fine-tuning, and deployment
- Knowledge of transformer architectures and neural network fundamentals
- Experience with vector databases
- Knowledge of AI safety, ethics, and responsible AI practices
- Familiarity with AI APIs and integration patterns
- Experience with data preprocessing, feature engineering, and model validation
- Proven track record launching products using agile methodologies
- Strong analytical skills with A/B testing and data-driven decision making
Preferred Qualifications:
- Advanced degree in Computer Science, Machine Learning, or related field
- Experience with multimodal AI, reinforcement learning, and vector databases
- Experience with cloud AI services (AWS SageMaker, Google Cloud AI, Azure ML)
- AI startup experience or leading AI initiatives at established companies
- Knowledge of AI safety, ethics, and regulatory considerations
- Publications or contributions to AI/ML research communities
Competencies:
- Problem-Solving Skills: Strong analytical thinking and problem-solving skills. Ability to troubleshoot complex software issues.
- Leadership Skills: Proven ability to lead a team with a track record of delivering high-quality software projects.
- Communication Skills: Excellent written and verbal communication skills. The ability to communicate effectively with both technical and non-technical stakeholders is crucial.
- Teamwork Skills: Proven ability to work effectively as part of a team.
- Mentoring Skills: Ability to mentor and guide developers.
- Attention to Detail: High attention to detail with a passion for delivering high-quality software.
- Time Management: Strong organizational skills with the ability to manage priorities and time effectively.
- Adaptability: The ability to quickly learn and adapt to new technologies and programming tools.
- Continuous Learning: A commitment to learning and keeping up with the latest trends and best practices in software development.
- User-Centric: A strong focus on user experiences and outcomes. Knowledge of UX principles and best practices.
- Fluency in English: Excellent command of the English language, both written and spoken.
- Flexibility in Work Schedule: Willingness and ability to adjust work schedule as necessary to collaborate with team members in different time zones, meet project deadlines, or address urgent issues.
AI Product Manager in London employer: Ment
Contact Detail:
Ment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on common AI product management scenarios. Think about how you'd tackle challenges and be ready to share your thought process.
✨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!
We think you need these skills to ace AI Product Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Product Manager role. Highlight your experience with AI/ML technologies and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Let us know what excites you about working at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like PyTorch, TensorFlow, and any large language models you've worked with. We love seeing practical examples of your work, so feel free to include links to projects or portfolios!
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 shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Ment
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with large language models and how you've applied them in past projects.
✨Showcase Your Product Management Skills
Prepare examples of how you've defined product roadmaps and executed strategies in previous roles. Highlight your experience with agile methodologies and how you've successfully launched AI products.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders, so think about how you can make your points clear and engaging.
✨Stay Current and Curious
Research recent advancements in AI and be prepared to discuss how they could impact product development. Showing that you're committed to continuous learning will impress interviewers and show your passion for the field.