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- Tasks: Lead the development of ML-powered products that create high-fidelity audiovisual content.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and strategic thinking.
- Why this job: Shape the future of technology while making a real impact in the industry.
- Qualifications: 5+ years in product management, with a focus on ML products and B2B SaaS.
The predicted salary is between 70000 - 90000 £ per year.
The Senior Product Manager will drive the development and execution of ML-powered products for creating high‑fidelity audiovisual artificial content, bridging the intersection of business strategy, user experience, and technical innovation. You will lead product development from ideation to launch, ensuring alignment with business goals and market needs while integrating cutting‑edge generative AI.
Key Responsibilities
- Product Strategy & Vision: Define and communicate product vision, strategy, and roadmap aligning with business objectives. Identify market opportunities to leverage core ML capabilities. Establish and track success metrics and KPIs. Translate technical ML concepts into clear value propositions.
- Technical Product Management: Develop comprehensive product requirements and user stories. Manage product backlog prioritisation. Ensure ML models integration into scalable product experiences. Research emerging technologies to inform decisions.
- Cross-Functional Leadership: Coordinate with ML researchers, engineers, and data teams. Collaborate with UX/UI and creative professionals.
- Innovation & Market Exploration: Monitor market trends and evaluate new technologies. Guide explorations into next‑gen generative models.
Must Haves
- 5+ years product management experience; minimum 2 years in ML products.
- Experience managing full product lifecycle (ideation to launch).
- Proven record in strategic planning for B2B SaaS products.
- Solid agile methodologies understanding.
- Technical competency in ML lifecycle and data strategies.
- Excellent communication and stakeholder management skills.
- Experience leading cross‑functional teams.
Nice to Have
- Familiarity with infrastructure for large‑scale ML operations.
- Experience with content production and creative technologies.
- Bachelor’s Degree in Computer Science, Engineering, Business, or relevant experience.
About You
- Strategic thinker with strong analytical skills.
- Collaborative and proactive leader.
- Able to navigate complexity and ambiguity effectively.
Senior Product Manager in London employer: DNEG Group
Contact Detail:
DNEG Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work with ML products. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you discuss ML trends and product management insights. This not only highlights your knowledge but also makes you memorable to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to product strategy and ML integration. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Product Manager in London
Some tips for your application 🫡
Craft Your Story: When writing your application, make sure to tell us your story! Highlight your journey in product management, especially your experience with ML products. We want to see how your background aligns with our vision and the role.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples that demonstrate your impact on product strategy and execution. Numbers and metrics can really help us understand your contributions.
Tailor Your Application: Make sure to tailor your application to the job description. Use keywords from the posting, especially around product strategy, ML capabilities, and cross-functional leadership. This shows us you’ve done your homework and are genuinely interested.
Keep It Clear and Concise: While we love detail, clarity is key! Keep your application clear and concise. Avoid jargon unless it’s relevant, and make sure your passion for innovation and collaboration shines through. Remember, we’re excited to hear from you!
How to prepare for a job interview at DNEG Group
✨Know Your Product Inside Out
Before the interview, dive deep into the company's existing products and their ML capabilities. Understand how they align with business goals and user needs. This will help you articulate your vision and demonstrate your strategic thinking.
✨Showcase Your Cross-Functional Experience
Be ready to discuss your experience working with diverse teams, especially in tech and creative fields. Highlight specific examples where you successfully led cross-functional projects, as this role requires strong collaboration with ML researchers and UX/UI professionals.
✨Prepare for Technical Discussions
Brush up on your knowledge of ML concepts and the product lifecycle. Be prepared to translate complex technical ideas into clear value propositions. This will show that you can bridge the gap between technical teams and business objectives effectively.
✨Demonstrate Your Market Awareness
Stay updated on the latest trends in generative AI and content production technologies. During the interview, share insights on emerging market opportunities and how they could influence product strategy. This will showcase your proactive approach to innovation.