At a Glance
- Tasks: Lead the development of innovative AI solutions and manage cross-functional teams.
- Company: A top AI solution provider in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to transforming businesses through AI.
- Why this job: Be at the forefront of AI innovation and make a real difference for clients.
- Qualifications: 4+ years in product management with expertise in ML and generative AI.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI solution provider in Greater London is seeking an experienced Product Manager to drive AI solution development for clients. The role requires a technical background with over 4 years of experience in ML-powered products. Ideal candidates should have a strong understanding of generative AI technologies and exceptional leadership skills. You will own projects from development to launch, managing cross-functional teams to ensure alignment and successful product outcomes. Join us to help organizations leverage AI technology effectively.
GenAI Product Lead for Enterprise AI Solutions in London employer: Scale AI
At Scale AI, we are at the forefront of the Generative AI revolution, offering a dynamic work environment that fosters innovation and collaboration. Our European Forward Deployed Engineering team is not only pivotal in delivering high-impact solutions but also thrives on a culture of customer empathy and strategic influence, ensuring every team member has the opportunity to grow and make a real difference. With a commitment to inclusivity and professional development, Scale AI provides an exceptional platform for those eager to shape the future of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Product Lead for Enterprise AI Solutions in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Scale AI!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Scale AI would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Scale AI through your school's career services!
We think you need these skills to ace GenAI Product Lead for Enterprise AI Solutions in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like GenAI Product Lead for Enterprise AI Solutions, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the GenAI Product Lead for Enterprise AI Solutions position at Scale AI. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Scale AI
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
