Senior Sales Engineer, Financial Services (EMEA) - (Remote - UK)

TN United Kingdom; United Kingdom; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Senior Sales Engineer in the Financial Services sector. This role involves driving technical sales for an AI-driven platform, collaborating with teams to deliver impactful product demonstrations and solutions. You will leverage your expertise in data science and the financial sector to guide clients from discovery to implementation, ensuring they realize the full potential of innovative technologies. With flexible working arrangements and a culture that values growth and diversity, this opportunity is perfect for those looking to make a significant impact in a dynamic environment.

Benefits

Flexible working arrangements

Health and wellness benefits

Professional development opportunities

Collaborative culture

Opportunities with cutting-edge technologies

Qualifications

• 3-5 years in technical pre-sales or sales engineering, preferably in Financial Services.
• Strong background in Data Science and enterprise IT software sales.

Responsibilities

• Lead technical engagement with banking and insurance prospects throughout the sales cycle.
• Deliver product demonstrations and manage proof-of-concepts.

Skills

Data Science

Python

AI and Machine Learning

Technical Sales

Communication Skills

Problem Solving

Education

Bachelor's Degree in a relevant field

Tools

PyTorch

TensorFlow

scikit-learn

Kubernetes

Docker

Linux

Spark

Ray

Dask

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Jobgether

Location:

gb, United Kingdom

Job Category:

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

2c5b49be82f1

Job Views:

4

Posted:

28.04.2025

Expiry Date:

12.06.2025

col-wide

Job Description:

About Jobgether

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.

Requirements

• 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.

Jobgether hiring process disclaimer:

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.