At a Glance
- Tasks: As a Presales Architect, you'll engage with clients to showcase innovative data and AI solutions.
- Company: Join a leading consultancy that empowers businesses to thrive through digital transformation.
- Benefits: Enjoy a competitive salary, annual bonus, flexible hybrid working, and comprehensive health benefits.
- Why this job: Be part of a dynamic team that values innovation and drives real-world impact in businesses.
- Qualifications: Ideal candidates should have experience in data and AI solutions, along with strong communication skills.
- Other info: Work from home 1-2 days a week while collaborating in a vibrant Nottingham office.
The predicted salary is between 57000 - 95000 £ per year.
This Consultancy company helps organisations drive business value by defining, executing, and evolving their entire business. They deliver digital value through innovative solutions.
Salary: to £95k + annual bonus (approx. £20k)
Benefits: Medical, Health, Life, Pension, Gym
Location: Flexible Hybrid working - offices based in Nottingham (1-2 days/week)
Presales Architect employer: Profile 29
Contact Detail:
Profile 29 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Presales Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Data and AI. Being knowledgeable about current technologies and methodologies will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work in presales or consultancy roles. Attend relevant events or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss case studies or examples from your past experiences where you've successfully implemented data solutions. This will showcase your practical knowledge and problem-solving skills, which are crucial for a Presales Architect.
✨Tip Number 4
Research the company thoroughly, including their projects and clients. Understanding their business model and how they deliver value will allow you to tailor your discussions and show how you can contribute to their success.
We think you need these skills to ace Presales Architect
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and skills required for the Data/AI Presales Architect position. Tailor your application to highlight how your experience aligns with these requirements.
Craft a Compelling CV: Ensure your CV is up-to-date and clearly outlines your relevant experience in presales, data, and AI. Use bullet points to make it easy to read and focus on achievements that demonstrate your ability to drive business value.
Write a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Highlight specific projects or experiences that showcase your expertise in data and AI, and explain how you can contribute to their consultancy services.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a presales architect.
How to prepare for a job interview at Profile 29
✨Understand the Company’s Vision
Before your interview, take some time to research the consultancy's mission and values. Understanding how they help organisations drive business value will allow you to tailor your responses and demonstrate your alignment with their goals.
✨Showcase Your Technical Expertise
As a Data/AI Presales Architect, you'll need to highlight your technical skills. Be prepared to discuss specific projects where you've successfully implemented data solutions or AI technologies, and how these contributed to business outcomes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of examples from your past experiences where you faced challenges in presales situations and how you overcame them to deliver value to clients.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the company's approach to digital transformation or how they measure success in their projects. This shows your genuine interest in the role and the company.