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- Tasks: Lead the vision and strategy for AI/ML products, collaborating with teams to enhance user experience.
- Company: Join Vista Tech, a leader in private aviation technology, optimising operations with innovative solutions.
- Benefits: Enjoy a dynamic work environment, opportunities for growth, and the chance to impact the aviation industry.
- Why this job: Be at the forefront of AI/ML innovation, driving real change in a fast-paced, collaborative culture.
- Qualifications: 8+ years in product management, with a focus on AI/ML; strong analytical and communication skills required.
- Other info: EU work permit is necessary; this role is based in London.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a highly experienced and strategic Principal Product Manager – Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact.
Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech’s mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.
Your Responsibilities
- Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives.
- Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models.
- Identify customer and business problems that can be addressed through AI/ML solutions.
- Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities.
- Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes.
- Partner with engineering teams to ensure seamless integration of machine learning models into production environments.
- Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs.
- Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products.
- Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities.
Required Skills, Qualifications, and Experience
- Bachelor’s degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus.
- 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products.
- Strong understanding of machine learning concepts, data pipelines, and AI-driven applications.
- Experience working closely with data science and engineering teams to bring ML models to production.
- Proven ability to manage complex, technical projects with multiple stakeholders.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
- Excellent communication and stakeholder management skills.
- Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.
Principal Product Manager – Data Science & Machine Learning employer: XO
Contact Detail:
XO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Product Manager – Data Science & Machine Learning
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being well-versed in current technologies and methodologies will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data science and product management communities. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed AI/ML projects in the past. Highlight your experience in collaborating with cross-functional teams and driving product vision to showcase your fit for the role.
✨Tip Number 4
Research StudySmarter's existing products and identify areas where AI/ML could enhance user experience. This will allow you to present informed ideas during your interview, showing that you're proactive and invested in our mission.
We think you need these skills to ace Principal Product Manager – Data Science & Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in AI/ML and data science. Use specific examples to demonstrate your achievements and how they align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and your strategic vision for product management. Address how your background and skills make you the ideal candidate for driving the product vision and strategy at Vista Tech.
Highlight Relevant Skills: In your application, emphasise your understanding of machine learning concepts and your experience working with data science teams. Mention any specific tools or platforms you've used, such as AWS, GCP, or Azure, to strengthen your application.
Showcase Your Communication Skills: Since effective communication is key for this role, provide examples in your application that demonstrate your ability to collaborate with cross-functional teams and communicate complex ideas clearly to stakeholders.
How to prepare for a job interview at XO
✨Showcase Your Technical Knowledge
As a Principal Product Manager in Data Science and Machine Learning, it's crucial to demonstrate your understanding of machine learning concepts and data pipelines. Be prepared to discuss specific projects where you've successfully implemented AI/ML solutions and the impact they had on the business.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to manage complex projects. Think of examples where you identified customer problems and translated them into actionable ML-driven features, showcasing your strategic thinking and collaboration with cross-functional teams.
✨Highlight Your Stakeholder Management Skills
Effective communication with stakeholders is key in this role. Prepare to discuss how you've aligned product goals with business objectives in previous roles, and provide examples of how you've managed expectations and communicated progress to executives and team members.
✨Stay Updated on Industry Trends
Demonstrating your knowledge of the latest advancements in AI/ML technologies can set you apart. Research recent trends and be ready to discuss how you would incorporate these innovations into the company's products, showing your proactive approach to enhancing user experience and driving business impact.
