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

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

Job summary

An established industry player is seeking a Senior Sales Engineer to join their dynamic team in the United Kingdom. In this pivotal role, you will leverage your expertise in AI and data science to drive technical sales for a cutting-edge platform tailored for the financial services sector. Collaborating closely with Enterprise Account Executives, you will showcase the platform's capabilities through engaging product demonstrations and hands-on workshops. Your ability to understand customer needs and articulate complex solutions will be crucial in ensuring a seamless transition from discovery to implementation. This role offers the chance to work in a collaborative environment that values innovation and personal growth, making it an exciting opportunity for professionals passionate about technology and customer engagement.

Benefits

Competitive compensation package

Flexible working arrangements

Professional development opportunities

Health and wellness benefits

Collaborative culture

Opportunities with cutting-edge technologies

Qualifications

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

Responsibilities

• Lead technical engagement with banking and insurance prospects.
• Deliver product demos and manage proof-of-concepts.

Skills

Technical Pre-sales

Data Science

Python Programming

Communication Skills

Customer Needs Identification

Tools

PyTorch

TensorFlow

scikit-learn

Kubernetes

Docker

Spark

Ray

Dask

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.

Benefits:

• 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.