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- Tasks: Lead product strategy and execution for a Private Data AI platform.
- Company: Innovative tech company in Greater London with a focus on cutting-edge solutions.
- Benefits: Competitive compensation, career growth opportunities, and an international work environment.
- Why this job: Shape the future of enterprise B2B SaaS products and make a real impact.
- Qualifications: Experience in product management and a strong understanding of data integration.
- Other info: Collaborative team culture with a focus on innovation and strategic thinking.
The predicted salary is between 43200 - 72000 £ per year.
An innovative tech company in Greater London seeks a Product Lead for Private Data to define and execute the product strategy. This role requires strategic thinking and hands-on execution in building enterprise B2B SaaS products. The ideal candidate will work closely with engineering and data science, leading the development of solutions that integrate proprietary data securely with existing offerings. This role comes with a competitive compensation package and opportunities for career growth in an international setting.
Product Lead, Private Data AI Platform employer: Colossyan
Contact Detail:
Colossyan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Lead, Private Data AI Platform
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Product Lead role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to product strategy and B2B SaaS. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your hands-on experience! When discussing your past projects, focus on how you’ve executed product strategies and collaborated with engineering and data science teams. We want to see your impact!
✨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 Product Lead, Private Data AI Platform
Some tips for your application 🫡
Show Your Strategic Thinking: When writing your application, make sure to highlight your strategic thinking skills. We want to see how you’ve defined and executed product strategies in the past, especially in B2B SaaS environments.
Be Hands-On: Don’t just talk about your ideas; show us how you’ve rolled up your sleeves and executed them. We love candidates who can demonstrate their hands-on experience in building products, so share specific examples!
Collaborate with Engineering and Data Science: Since this role involves working closely with engineering and data science teams, mention any collaborative projects you've been part of. We’re keen to see how you’ve integrated different teams to achieve a common goal.
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 Colossyan
✨Know Your Product Inside Out
Before the interview, dive deep into the company's existing products and their integration with proprietary data. Understand the nuances of B2B SaaS solutions and be ready to discuss how you can enhance their offerings.
✨Showcase Your Strategic Thinking
Prepare examples from your past experiences where you've successfully defined and executed product strategies. Highlight your ability to think strategically while also being hands-on in execution, as this role demands both.
✨Collaborate Like a Pro
Since you'll be working closely with engineering and data science teams, come prepared to discuss how you've effectively collaborated with cross-functional teams in the past. Share specific instances where your collaboration led to successful product outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s future. Inquire about their vision for the Private Data AI Platform and how they see it evolving in the competitive landscape.
