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- Tasks: Lead the AI product strategy and collaborate with engineering teams to create impactful features.
- Company: Venture-backed SaaS company in the UK with a focus on innovation.
- Benefits: Flexible work arrangement with 2 days in London and 3 days remote.
- Other info: Join a dynamic team and drive innovation in a growing industry.
- Why this job: Shape the future of AI products and make a significant impact in the enterprise sector.
- Qualifications: Over 5 years of experience in managing AI products and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
A venture-backed SaaS company in the UK is seeking an experienced Technical Product Manager to shape and execute their AI product strategy. The role involves collaborating with engineering teams and translating AI capabilities into practical features.
Ideal candidates should have over 5 years of experience managing AI products and excellent stakeholder management skills. This role offers flexibility with 2 days in London and 3 days working from home.
AI Product Strategy Lead — SaaS with Enterprise Impact employer: Market Recruitment
Contact Detail:
Market Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Strategy Lead — SaaS with Enterprise Impact
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI product management. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI products. When you get the chance to chat with potential employers, share specific examples of how you've successfully managed AI projects.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out directly to companies you admire, like ours at StudySmarter, and express your interest in contributing to their AI strategy. You never know what opportunities might arise!
✨Tip Number 4
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've effectively collaborated with engineering teams and translated complex AI concepts into user-friendly features. This will show you're the right fit for the role!
We think you need these skills to ace AI Product Strategy Lead — SaaS with Enterprise Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing AI products and showcases your stakeholder management skills. We want to see how your background aligns with the role, so don’t be shy about tailoring it to fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI product strategy and how you can contribute to our team. We love seeing genuine enthusiasm, so let your personality come through.
Showcase Relevant Projects: If you've worked on any projects that involved translating AI capabilities into practical features, make sure to highlight them. We’re keen to see real examples of your work and how you’ve made an impact in previous roles.
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’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Market Recruitment
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss how you've managed AI products in the past, focusing on specific features you've developed and the impact they've had.
✨Showcase Your Stakeholder Management Skills
Think of examples where you've successfully collaborated with different teams or stakeholders. Highlight your communication strategies and how you ensured everyone was on the same page during product development.
✨Prepare for Technical Questions
Since this role involves working closely with engineering teams, be ready to dive into technical discussions. Familiarise yourself with the technical aspects of AI and how they translate into product features, so you can speak confidently about them.
✨Emphasise Flexibility and Remote Work Experience
With a hybrid work model, it's important to demonstrate your ability to work effectively both in the office and remotely. Share your experiences managing projects from home and how you maintain productivity and collaboration in a flexible environment.