At a Glance
- Tasks: Lead the lifecycle of cutting-edge AI/ML products and drive innovative strategies.
- Company: Join a forward-thinking tech company at the forefront of AI advancements.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Shape the future of AI technology and make a significant impact in the industry.
- Qualifications: 5+ years in AI product management and strong technical knowledge required.
The predicted salary is between 70000 - 90000 € per year.
Core Purpose of the Role
The Product Manager AI/ML owns the continuous lifecycle, deployment, and strategic direction of the company’s high-growth generative enterprise platforms. This individual acts as the central link between international corporate goals, complex technical execution, and client-facing product delivery. The role ensures that advanced artificial intelligence capabilities translate seamlessly into scalable, production-ready features.
Detailed Duties & Responsibilities
- Roadmap and Vision Strategy: Architect and present long-term product vision for advanced Agentic AI, Generative AI, and unified communication channels. Define clear development timelines and translate market demands into specific machine learning goals.
- Full Lifecycle PLM Governance: Oversee end-to-end Product Lifecycle Management (PLM) using data-focused frameworks. Manage products from early R&D ideation, through training/validation phases, to full Business-As-Usual (BAU) transition.
- Cross-Border Technical Orchestration: Coordinate day-to-end technical sprint cycles with the engineering teams based at the Indian subsidiary. Ensure local deployments match broader global infrastructure and strict data policies.
- Commercialization & Budget Management: Design extensive commercial business cases for product variations. Budget accurately for API compute consumption, cloud architecture costs, and specialized engineering needs.
- KPI Modelling & Optimisation: Formulate performance indicators evaluating AI agent accuracy, model training drift, response times, and automated user resolution rates.
- Cross-Functional Communication: Present complex, technical AI roadmaps into clear strategic summaries for board directors and external corporate stakeholders.
Required Qualifications & Education
- Minimum Education: Bachelor’s Degree or Higher Degree in Computer Science, Data Science, Business, or a closely related technical discipline.
- Experience Required: Minimum of 5 years of verifiable experience in data management, machine learning, or artificial intelligence product management.
- Infrastructure Knowledge: Deep conceptual familiarity with data engineering infrastructure, analytics pipelines, and conversational AI mechanics.
- Execution Capabilities: Proven history of launching, scaling, and iterating enterprise-grade, cloud-based data products.
- Methodologies & Leadership: Advanced expertise in Agile/Scrum delivery styles, stakeholder engagement matrix systems, and mentoring complex cross-functional teams.
Product Manager AI/ML in Mount Pleasant employer: WORKTUAL LIMITED
As a leading innovator in the AI/ML space, our company offers an exceptional work environment that fosters creativity and collaboration. Employees benefit from a culture that prioritises professional growth through continuous learning opportunities and mentorship, all while working on cutting-edge technology in a dynamic international setting. With a commitment to employee well-being and a focus on impactful projects, we provide a rewarding experience for those looking to make a difference in the world of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager AI/ML in Mount Pleasant
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and machine learning. We want to see how you’ve tackled real-world problems and what innovative solutions you’ve come up with.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and their AI capabilities. We suggest you come armed with insights and ideas on how you can contribute to their roadmap and vision strategy.
✨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 about their job search!
We think you need these skills to ace Product Manager AI/ML in Mount Pleasant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Product Manager AI/ML. Highlight your experience in data management and machine learning, and don’t forget to showcase any relevant projects that demonstrate your skills in AI product management.
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 aligns with our vision at StudySmarter. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Since this role involves complex technical execution, make sure to highlight your familiarity with data engineering infrastructure and analytics pipelines. Mention any tools or methodologies you’ve used that are relevant to the position, especially Agile/Scrum.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at WORKTUAL LIMITED
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how these can be applied to product management, especially in relation to generative AI and Agentic AI. Showing that you’re not just familiar but passionate about the field will definitely impress.
✨Master the Product Lifecycle
Understand the full Product Lifecycle Management (PLM) process inside out. Be prepared to talk about your experience managing products from ideation through to BAU transition. Use specific examples to illustrate how you've successfully navigated each stage, especially in a data-focused environment.
✨Communicate Like a Pro
Since this role involves cross-functional communication, practice explaining complex technical concepts in simple terms. Think about how you would present an AI roadmap to non-technical stakeholders. Clear communication can set you apart, so make it a key focus during your interview.
✨Budgeting and Commercialisation Know-How
Be ready to discuss your experience with budgeting for tech projects, particularly around API compute consumption and cloud architecture costs. Prepare to share examples of how you’ve designed commercial business cases for product variations, as this will show your strategic thinking and financial acumen.
