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For Companies At a Glance
- Tasks: Lead AI and Data transformation initiatives for enterprise clients, shaping their tech future.
- Company: Join a top independent IT services firm known for trusted solutions and strong partnerships.
- Benefits: Enjoy hybrid work flexibility, professional development, and access to cutting-edge technologies.
- Why this job: Be part of a collaborative culture focused on innovation and continuous learning.
- Qualifications: Minimum 5 years in pre-sales or technical consulting with strong AI and infrastructure knowledge.
- Other info: Opportunity to mentor teams and represent the company at industry events.
The predicted salary is between 80000 - 120000 £ per year.
Location: London, UK (Hybrid)
Salary: £100,000 - £120,000
Why Join Us?
- Shape the Future of AI & Data: Lead AI and Data transformation initiatives with enterprise clients, helping them unlock value and operationalise intelligent technologies.
- Hybrid Flexibility: Work in a dynamic, hybrid environment based in London, offering work-life balance and modern work practices.
- Collaborative Culture: Be part of a high-performing, supportive team committed to innovation and continuous learning.
- Professional Development: Access to cutting-edge technologies, structured training, and career progression paths.
- Strong Market Reputation: Join a leading independent IT services organisation recognised for delivering trusted solutions and long-standing enterprise partnerships.
Key Role Responsibilities
- Architect and propose data centre and AI transformation solutions tailored to customer needs.
- Engage in pre-sales activities, technical workshops, and strategic client meetings to define solution direction.
- Promote and position partner technologies and internal service offerings.
- Develop trusted advisor relationships with enterprise stakeholders.
- Lead technical governance and quality assurance on solution design and delivery.
- Represent the business at industry events and partner forums.
- Mentor internal teams and contribute to internal knowledge sharing and development.
Key Attributes Required
- Minimum 5 years’ experience in a pre-sales or technical consulting role.
- Strong knowledge of Data & AI architectures and hybrid infrastructure solutions (HPE, Dell, IBM, NetApp).
- Proven experience in designing and delivering enterprise AI systems and services.
- Strong understanding of public cloud platforms (Azure, AWS, Google Cloud) and data centre modernisation.
- Excellent client engagement, presentation, and stakeholder management skills.
- Familiarity with service management, technical documentation standards, and vendor tools.
- Security clearance or the ability to obtain it is advantageous.
Enterprise AI and Infrastructure Presales Specialist employer: Robertson Sumner
Contact Detail:
Robertson Sumner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI and Infrastructure Presales Specialist
✨Tip Number 1
Network with professionals in the AI and infrastructure space. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. This can help you gain insights into the latest trends and possibly get referrals.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as HPE, Dell, and public cloud platforms like Azure and AWS. Having hands-on experience or certifications in these areas can set you apart during interviews.
✨Tip Number 3
Prepare to discuss your previous pre-sales experiences in detail. Be ready to share specific examples of how you've engaged with clients, led workshops, or developed solutions that met their needs. This will demonstrate your capability and fit for the role.
✨Tip Number 4
Showcase your ability to build trusted advisor relationships. Think of ways to illustrate how you've successfully managed stakeholder expectations and fostered collaboration in past roles. This is crucial for the position and will resonate well with interviewers.
We think you need these skills to ace Enterprise AI and Infrastructure Presales Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in pre-sales or technical consulting roles. Emphasise your knowledge of Data & AI architectures and hybrid infrastructure solutions, as well as any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data transformation. Mention specific projects or experiences that demonstrate your ability to engage with enterprise clients and lead technical workshops.
Showcase Your Technical Skills: In your application, clearly outline your experience with public cloud platforms like Azure, AWS, and Google Cloud. Provide examples of how you've designed and delivered enterprise AI systems and services.
Highlight Soft Skills: Don't forget to mention your client engagement, presentation, and stakeholder management skills. These are crucial for the role, so provide examples of how you've successfully built trusted advisor relationships in previous positions.
How to prepare for a job interview at Robertson Sumner
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Data & AI architectures and hybrid infrastructure solutions. Be prepared to discuss specific projects where you've designed and delivered enterprise AI systems, as this will demonstrate your capability to meet the role's requirements.
✨Engage in Role-Play Scenarios
Since the position involves client engagement and pre-sales activities, practice role-playing scenarios where you present solutions to potential clients. This will help you refine your presentation skills and show your ability to communicate complex ideas clearly.
✨Understand the Company's Market Position
Research the company’s reputation and its partnerships within the industry. Being knowledgeable about their services and how they compare to competitors will allow you to speak confidently about how you can contribute to their success.
✨Prepare Questions for Your Interviewers
Have insightful questions ready for your interviewers that reflect your interest in the role and the company. Ask about their current AI initiatives or how they envision the future of data transformation, which shows your proactive approach and genuine interest.
