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- Tasks: Lead technical partnerships and support customers in adopting AI/ML solutions.
- Company: Dynamic tech solutions provider based in Greater London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI/ML technology and make a real difference for clients.
- Qualifications: Degree in Computer Science or Engineering and 5+ years in technical account management.
- Other info: Collaborative environment with strong focus on customer experience and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A technology solutions provider in Greater London seeks a Technical Account Manager to serve as the primary technical partner for key customers. The role focuses on aiding organizations in adopting AI/ML and other compute workloads on the platform.
The ideal candidate should have a degree in Computer Science or Engineering and over 5 years of experience in technical account management, alongside skills in cloud-native technologies and stakeholder leadership.
This position promises significant engagement with product teams to enhance customer experience and value.
Platform Success Lead for AI/ML & HPC employer: iDPP
Contact Detail:
iDPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Success Lead for AI/ML & HPC
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI/ML and HPC. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in technical account management and cloud-native technologies. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on how you've led stakeholders and improved customer experiences in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Platform Success Lead for AI/ML & HPC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform Success Lead role. Highlight your experience in technical account management and any relevant projects involving AI/ML or HPC. We want to see how your background aligns with what we’re looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that showcase your expertise in cloud-native technologies and stakeholder leadership. This helps us see how you can add value to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for technology solutions and how you can help our customers adopt AI/ML workloads. We love seeing genuine enthusiasm and a clear understanding of the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 iDPP
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/ML and HPC technologies. Be prepared to discuss how these technologies can be leveraged to solve customer challenges. We recommend having specific examples ready that showcase your experience in technical account management.
✨Showcase Your Stakeholder Skills
This role requires strong stakeholder leadership, so think about times you've successfully managed relationships with key customers. We suggest preparing a few anecdotes that highlight your ability to communicate effectively and drive engagement with both technical and non-technical stakeholders.
✨Engage with Product Teams
Since the position involves significant interaction with product teams, demonstrate your understanding of how to collaborate across departments. We advise you to think of instances where you've worked closely with product or engineering teams to enhance customer experience and value.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company's approach to AI/ML and HPC. We suggest asking about their current challenges or future projects, as this shows your genuine interest in the role and the company’s direction.
