Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML data product development and drive innovation strategies.
- Company: Global ResTech leader in the UK with a focus on cutting-edge technology.
- Benefits: Competitive salary of £125k-£150k plus a 10% bonus and remote work flexibility.
- Why this job: Shape the future of AI data products and influence industry leaders.
- Qualifications: Strong experience in product launches and B2B SaaS, with AI architecture knowledge.
- Other info: Fully remote role with opportunities for professional growth and impact.
The predicted salary is between 125000 - 150000 £ per year.
A global ResTech leader in the UK is looking for a Director-level Principal Product Manager specializing in AI/ML data products. The role involves leading product development, managing C-suite stakeholders, and driving the company’s Data Innovation vision.
Candidates should have strong product launch experience, particularly in B2B SaaS environments, and be capable of discussing AI architecture with engineering teams.
This is a fully remote position with a competitive salary package between £125k-£150k and a 10% bonus.
Director of AI Data Innovation (Remote) in Birmingham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI Data Innovation (Remote) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data innovation space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your past product launches, especially in B2B SaaS. This will help you stand out when discussing your experience with potential employers.
✨Tip Number 3
Get ready for those interviews! Brush up on your knowledge of AI architecture and be prepared to discuss how you’ve collaborated with engineering teams in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Director of AI Data Innovation (Remote) in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director of AI Data Innovation. Highlight your experience in product management, especially in AI/ML data products, and don’t forget to showcase your B2B SaaS expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your product launch successes and how you’ve managed C-suite stakeholders in the past.
Showcase Your Technical Knowledge: Since this role involves discussing AI architecture with engineering teams, make sure to include any relevant technical skills or projects in your application. We want to see that you can hold your own in tech discussions!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your AI Inside Out
Make sure you’re well-versed in AI and ML concepts, especially as they relate to product development. Brush up on the latest trends and be ready to discuss how these technologies can drive innovation in a B2B SaaS context.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led product launches and managed C-suite stakeholders in the past. Highlight your ability to align teams and drive a vision forward, as this role will require strong leadership and communication skills.
✨Understand the Company’s Data Innovation Vision
Research the company’s current data products and their innovation strategy. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their vision for the future of AI data products.
✨Engage with Engineering Talk
Since you’ll need to collaborate with engineering teams, brush up on AI architecture and technical jargon. Being able to hold a meaningful conversation about technical aspects will show that you can bridge the gap between product management and engineering.
