AI Product Manager
ment · London ·
- Employment
- Full time
- Category
- Product
- Experience
- 4+ years
ment · London ·
JOB DESCRIPTION
AI Product Manager
Status: Full-time Type: Salary
Department: SE Department Manager: SE Director
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.