Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive technical sales in banking and insurance, delivering demos and workshops.
- Company: Jobgether connects top talent with global opportunities through AI-driven job matching.
- Benefits: Enjoy remote work, competitive pay, and health benefits in a collaborative culture.
- Why this job: Join a dynamic team innovating in AI and Data Science, making a real impact.
- Qualifications: 3-5 years in technical pre-sales, strong data science background, coding skills required.
- Other info: Work with cutting-edge technologies and contribute to product innovation.
The predicted salary is between 43200 - 72000 £ per year.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. One of our companies is currently looking for a Senior Sales Engineer, Financial Services (EMEA) in the United Kingdom.
As a Senior Sales Engineer, you will play a crucial role in driving technical sales for the company's AI-driven platform, specifically in the banking and insurance sectors. Working alongside Enterprise Account Executives, you'll deliver product demos, conduct hands-on technical workshops, and design proof-of-concepts that address client needs, ensuring a seamless transition from discovery to solution implementation. You will leverage your deep knowledge of data science and the financial services industry to help clients understand the full potential of the platform, while collaborating across teams to drive product innovation.
Accountabilities:- Lead technical engagement with prospects in the banking and insurance sectors, guiding them through the sales cycle from discovery to implementation.
- Deliver compelling product demonstrations and hands-on workshops, showcasing the platform's capabilities to meet specific customer needs.
- Manage and execute proof-of-concepts to validate the platform's value proposition and drive customer confidence.
- Act as a subject matter expert in AI and machine learning, addressing technical challenges and providing solutions to complex problems.
- Contribute to internal knowledge sharing by creating documentation, refining demo assets, and sharing best practices with the Sales Engineering team.
- Collaborate with Product Management, Marketing, and Engineering to align product offerings with market needs and customer feedback.
- 3-5 years of experience in a customer-facing technical pre-sales or sales engineering role, with a preference for candidates with experience in the Financial Services industry.
- Strong background in Data Science, with an understanding of Financial Services industry trends and use cases.
- Experience in selling enterprise IT software, with a proven track record of success in technical pre-sales.
- Proficiency in coding, especially with Python, and familiarity with data science libraries like PyTorch, TensorFlow, and scikit-learn.
- Knowledge of distributed computing frameworks such as Spark, Ray, and Dask, and experience working with Linux environments.
- Hands-on experience with Kubernetes, Docker, and containerization, and the ability to articulate their enterprise value.
- Exceptional verbal and written communication skills, capable of engaging both technical and business audiences.
- Strong discovery and pain point identification skills, with the ability to uncover customer needs and tailor solutions accordingly.
- Competitive compensation package based on experience.
- Flexible working arrangements, with the option to work remotely.
- Professional development opportunities, including continuous learning and growth within the team.
- A collaborative, inclusive culture that values diverse perspectives and encourages personal and professional growth.
- Health and wellness benefits, including medical, dental, and vision insurance.
- A dynamic environment where innovation and proactive problem-solving are highly encouraged.
- Opportunities to work with cutting-edge technologies in AI and Data Science.
Senior Sales Engineer, Financial Services (EMEA) - (Remote - UK) employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales Engineer, Financial Services (EMEA) - (Remote - UK)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to the financial services sector. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the financial services industry, particularly those who work in sales engineering roles. Engaging with them can provide valuable insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to showcase your technical skills by being ready to discuss specific projects where you've successfully implemented data science solutions. Highlighting your hands-on experience with tools like Python and frameworks such as TensorFlow will set you apart.
✨Tip Number 4
Practice delivering product demonstrations and technical workshops. Being able to clearly articulate complex concepts to both technical and non-technical audiences is crucial for this role, so honing this skill will be beneficial.
We think you need these skills to ace Senior Sales Engineer, Financial Services (EMEA) - (Remote - UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical pre-sales or sales engineering, particularly within the Financial Services sector. Emphasise your skills in data science and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the company's AI-driven platform and how your background aligns with their needs. Mention specific experiences where you've successfully engaged with clients in the banking or insurance sectors.
Showcase Technical Skills: In your application, clearly outline your proficiency in coding (especially Python) and familiarity with data science libraries. Provide examples of how you've used these skills to solve complex problems in previous roles.
Highlight Communication Abilities: Since exceptional communication skills are crucial for this role, include examples of how you've effectively communicated technical concepts to both technical and non-technical audiences in your past experiences.
How to prepare for a job interview at Jobgether
✨Showcase Your Technical Expertise
As a Senior Sales Engineer, it's crucial to demonstrate your deep understanding of data science and the financial services industry. Be prepared to discuss specific projects or experiences where you've successfully applied your technical skills, especially in AI and machine learning.
✨Prepare for Product Demonstrations
Since delivering compelling product demos is a key part of the role, practice showcasing the platform's capabilities. Tailor your demonstrations to highlight how the product meets specific customer needs, and be ready to answer technical questions that may arise.
✨Understand the Sales Cycle
Familiarise yourself with the sales cycle from discovery to implementation. Be ready to discuss how you can guide prospects through this process, addressing their pain points and ensuring a smooth transition to solution implementation.
✨Communicate Effectively
Exceptional communication skills are essential for engaging both technical and business audiences. Practice articulating complex technical concepts in a clear and concise manner, ensuring that you can connect with stakeholders at all levels.
