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- Tasks: Lead the development of an innovative AI product and drive growth strategies.
- Company: A leading social discovery company with a focus on innovation.
- Benefits: Fully remote work, generous vacation days, wellness time off, and health benefits.
- Why this job: Shape the future of AI products and make a significant impact in the tech industry.
- Qualifications: Strong skills in hypothesis formulation and fluency in Russian required.
- Other info: Join a dynamic team and enjoy excellent work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
A leading social discovery company is seeking a Head of Product to oversee the innovative AI product, TheOne. Responsibilities include identifying growth opportunities, formulating product roadmaps, managing development teams, and analyzing experiment results.
Candidates must possess strong skills in hypothesis formulation and be fluent in Russian.
This position offers a fully remote work option, generous vacation days, wellness time off, and various health benefits.
AI Product Leader — Remote, Growth & Strategy in London employer: Social Discovery Group
Contact Detail:
Social Discovery Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Leader — Remote, Growth & Strategy in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI product management. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to growth strategies and product roadmaps. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 AI Product Leader — Remote, Growth & Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI product management and growth strategy. We want to see how your skills align with the responsibilities of overseeing innovative products like TheOne.
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 you can contribute to our mission. Don’t forget to mention your fluency in Russian, as it’s a key requirement for this role.
Showcase Your Analytical Skills: Since analysing experiment results is part of the job, include examples of how you've used data to drive product decisions in the past. We love seeing candidates who can back up their claims with solid evidence!
Apply Through Our Website: We encourage you to apply directly through our website. 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 Social Discovery Group
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI. Brush up on TheOne’s features and how they stand out in the market. This will show your passion and expertise during the interview.
✨Showcase Your Strategic Thinking
Prepare to discuss how you would identify growth opportunities and formulate product roadmaps. Have specific examples ready from your past experiences where you successfully led a product strategy or overcame challenges.
✨Fluency is Key
Since fluency in Russian is a requirement, practice speaking about your professional experiences in Russian. This will not only demonstrate your language skills but also your ability to communicate effectively with diverse teams.
✨Be Ready for Hypothesis Formulation
Expect questions that test your ability to formulate hypotheses. Prepare a few examples of how you’ve used data to drive decisions in previous roles, and be ready to discuss the outcomes of those experiments.