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For Companies At a Glance
- Tasks: Support enterprise customers by leading technical discovery and delivering tailored AI solutions.
- Company: Join a fast-growing company revolutionising the Generative AI landscape with impressive growth.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team making a real impact in the AI industry while developing your skills.
- Qualifications: 5+ years in pre-sales, strong coding skills in Python, and experience with AI technologies required.
- Other info: Only shortlisted candidates will be contacted within 7 days due to high application volume.
The predicted salary is between 108000 - 252000 £ per year.
Location: London (Hybrid - 2 days a week in office)
Salary: Up to £180K per annum
This company are revolutionising the Generative AI landscape with a cutting-edge platform. By helping companies save time, money, and effort, it’s no surprise they’ve achieved 5x ARR growth in the past 12 months - with 500% growth expected over the next two years. Backed by some of the hottest tech on the market and a leadership team with a proven track record, this is your chance to join one of the fastest-growing companies in the space.
The Role
We’re looking for a Sales Engineer to support enterprise-level customers across the UK and Europe. This is a high-impact, pre-sales role ideal for someone with deep technical knowledge, a passion for AI, and the commercial acumen to partner with high-performing sales teams. You’ll work side by side with Account Executives to lead discovery sessions, run live demos, and deliver tailored solutions that showcase the true power of the platform.
Key Responsibilities:
- Lead technical discovery, presentations, and demos for enterprise prospects
- Act as the technical expert during the sales cycle, owning all pre-sales activities
- Build and deliver compelling proof-of-concepts
- Partner closely with Product and Engineering teams to influence roadmap and provide customer feedback
- Stay ahead of the curve in the fast-moving Generative AI space
What Does Success Look Like? You’ll become a trusted advisor to enterprise clients, helping them unlock real business value and driving significant revenue impact as a result.
What You’ll Bring
- 5+ years of pre-sales experience in fast-paced, high-growth environments
- Strong coding ability, ideally in Python
- Experience working with AI technologies - either in the AI or MarTech space
- Proven success selling into enterprise clients
- Comfortable working cross-functionally with sales, product, and engineering teams
- Capable of translating complex technical ideas into business outcomes
Please Note: Due to the volume of applicants, only shortlisted candidates will be contacted within 7 days.
Sales Engineer employer: CD Recruitment
Contact Detail:
CD Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and the specific technologies used by the company. This will not only help you understand their platform better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current employees or industry professionals who have experience in pre-sales roles, especially in AI. They can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss past projects where you've successfully led technical discovery sessions or delivered demos, as this will showcase your capability to excel in the role.
✨Tip Number 4
Research the company's competitors and market position. Understanding their unique selling points and how they differentiate themselves will enable you to articulate how you can contribute to their success during the interview.
We think you need these skills to ace Sales Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in pre-sales roles, particularly in fast-paced environments. Emphasise your technical skills, especially in coding and AI technologies, to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the Generative AI landscape. Mention specific achievements from your previous roles that demonstrate your ability to drive revenue and support enterprise clients.
Highlight Technical Expertise: In your application, clearly outline your technical knowledge and experience with coding, particularly in Python. Provide examples of how you've successfully translated complex technical concepts into business outcomes for clients.
Showcase Collaboration Skills: Illustrate your ability to work cross-functionally with sales, product, and engineering teams. Include examples of past collaborations that led to successful outcomes, as this role requires strong partnership skills.
How to prepare for a job interview at CD Recruitment
✨Showcase Your Technical Expertise
As a Sales Engineer, you'll need to demonstrate your deep technical knowledge. Be prepared to discuss your experience with AI technologies and coding, particularly in Python. Highlight specific projects where you've successfully applied these skills.
✨Understand the Product Inside Out
Familiarise yourself with the company's platform and its unique selling points. During the interview, be ready to explain how you would lead technical discovery sessions and deliver compelling demos that showcase the product's capabilities.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with sales, product, and engineering teams, think of examples from your past experiences where you've successfully collaborated across departments. This will show your ability to work effectively in a team-oriented environment.
✨Translate Technical Concepts into Business Value
Practice explaining complex technical ideas in simple terms that highlight their business impact. This skill is crucial for becoming a trusted advisor to enterprise clients, so prepare scenarios where you've done this successfully in previous roles.
