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- Tasks: Lead the development of innovative AI products to boost productivity.
- Company: Join a global management consultancy at the forefront of AI technology.
- Benefits: Enjoy remote work flexibility with occasional travel to London.
- Why this job: Be part of a dynamic team creating impactful AI solutions that solve real-world problems.
- Qualifications: 3+ years in product management, especially with AI/ML products; tech-savvy and customer-focused.
- Other info: Contract role with potential for extension; ideal for those passionate about AI innovation.
The predicted salary is between 63000 - 84000 £ per year.
Rate: £525/day, Duration: 6 months plus possible extensions. Outside IR35 contract.
Location: Work from Home (with occasional travel to Central London only when needed).
The role is with one of our clients, a Global Management Consultancy, seeking a passionate and driven Product Manager to deliver a suite of agents to improve productivity for an AI product. The ideal candidate will have a strong background in product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions.
As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI products that solve real-world problems.
Responsibilities:
- Define the Product vision and strategy ensuring alignment with business objectives and market needs.
- Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution.
- Help drive the development and integration of machine learning models and AI algorithms into the product.
- Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative.
- Collaborate with engineering, design, and data science teams to deliver AI product features from ideation to launch.
- Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction.
- Use quantitative and qualitative data to inform decisions about product features and prioritise improvements based on customer needs.
Education & Experience:
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field. A Master’s degree or MBA is a plus.
- Must come from a Microsoft-centric tech background.
- Microsoft based, Neo4j, vector database, Azure.
- 3+ years of experience in product management, with at least 1-2 years of experience working with AI/ML-driven products.
- Experience working with large-scale AI systems or machine learning models.
- Familiarity with cloud platforms mainly Azure, and how they support AI/ML product development.
- Familiarity with AI product development processes, including working with data scientists and engineers to bring AI solutions to life.
- Experience working in an agile product development environment.
- Customer-centric mindset with a passion for solving problems and creating value through AI-driven solutions.
- Management Consultancy background preferred.
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager- Contract role
✨Tip Number 1
Network with professionals in the AI and product management fields. Attend industry events, webinars, or meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends in AI technologies and product management methodologies. Being well-versed in current developments will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 3
Prepare to discuss specific AI products you've managed in the past. Be ready to share examples of how you defined product vision, collaborated with cross-functional teams, and drove successful launches. This will showcase your relevant experience effectively.
✨Tip Number 4
Research the consultancy's previous AI projects and their impact on clients. Understanding their portfolio will allow you to tailor your conversations and show how your skills align with their goals and values.
We think you need these skills to ace AI Product Manager- Contract role
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, particularly with AI products. Use specific examples that demonstrate your understanding of AI technologies and your ability to work cross-functionally.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and product management. Discuss how your background aligns with the responsibilities outlined in the job description, and mention any relevant experience with Microsoft technologies or cloud platforms like Azure.
Showcase Relevant Projects: If you have worked on AI-driven projects, be sure to include them in your application. Describe your role, the challenges faced, and the outcomes achieved. This will help demonstrate your capability to deliver innovative solutions.
Highlight Your Strategic Vision: In both your CV and cover letter, convey your strategic vision for AI products. Discuss how you stay updated on industry trends and competitor products, and how this knowledge can contribute to the success of the consultancy's AI offerings.
How to prepare for a job interview at Careerwise
✨Showcase Your AI Knowledge
Make sure to highlight your experience with AI products and solutions during the interview. Be prepared to discuss specific projects you've worked on, the technologies you used, and how you contributed to their success.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working with various teams, share examples of how you've successfully collaborated with development, design, and marketing teams in the past. This will show your ability to work effectively in a cross-functional environment.
✨Understand the Product Vision
Familiarise yourself with the company's product vision and strategy. Be ready to discuss how you would align your product management approach with their business objectives and market needs.
✨Prepare for Technical Questions
Given the technical nature of the role, expect questions about AI technologies, machine learning models, and cloud platforms like Azure. Brush up on these topics and be ready to explain how they relate to product management.
