Senior Sales Engineer, Financial Services

As a Senior Sales Engineer at Domino, you'll be taking on significant responsibilities that include delivering compelling product demonstrations, managing proof-of-concepts, and acting as a Subject Matter Expert in Artificial Intelligence and Machine Learning. You'll work closely with Enterprise Account Executives to drive revenue and ensure that customer needs are addressed effectively.

To qualify for the Senior Sales Engineer role at Domino, candidates should possess 3-5 years of experience in a customer-facing pre-sales or technical role, ideally within the Financial Services industry. A solid background in Data Science, experience selling enterprise IT software, and familiarity with programming in Python and data science libraries are essential for success in this position.

The Senior Sales Engineer plays a pivotal role at Domino by enhancing the customer journey through impactful technical demonstrations and workshops. This position helps shape the future of the platform by providing invaluable feedback on market needs and collaborating with various teams, including Marketing and Engineering, to align our products with customer expectations.

Essential skills for success as a Senior Sales Engineer at Domino include strong technical acumen, excellent verbal and written communication, and the ability to identify customer pain points. Proficiency in coding and an understanding of tools such as Kubernetes and distributed computing frameworks is also crucial for this role.

Domino places a high value on building a diverse team and encourages candidates from all backgrounds to apply for the Senior Sales Engineer role. The company believes that every employee contributes to the rich tapestry of the work environment, fostering an inclusive atmosphere where growth and learning are at the forefront.

To effectively demonstrate Domino's platform value, focus on the customer's specific pain points and tailor your presentation to address their needs. Use relevant case studies and engage them with a live demo that showcases the platform's capabilities in resolving their challenges.

When discussing a successful proof-of-concept, detail the customer's challenges, how you designed the concept to solve those issues, and the measurable outcomes achieved. Highlight your collaborative efforts and how you addressed any obstacles that arose during the process.

To maintain effective communication, I adapt my language and focus depending on the audience. I ensure that technical details are simplified for business stakeholders while providing in-depth technical insights to engineering teams. Building a rapport and practicing active listening are also crucial in this approach.

Staying updated on industry trends involves regularly reading financial news, attending conferences, and engaging in online forums. Networking with other professionals and participating in relevant webinars also provide insights into new developments in financial services and data science technologies.

The most challenging aspect often lies in balancing technical details with business requirements. This role requires a deep understanding of both areas to present effective solutions while ensuring alignment with customer needs and strategic goals.

I conduct thorough discovery sessions to identify client needs and tailor my responses to address their specific challenges. Providing ongoing support and clear communication throughout the sales process also helps to ensure that the technical needs of clients are indeed met.

In situations where I’ve faced objections, I actively listen to the client's concerns, validate their feelings, and provide data-driven responses that address their issues. By presenting clear evidence and solutions, I can often turn objections into opportunities for dialogue.

I am most comfortable with Python, as it is essential for working with data science libraries and developing technical demonstrations. My coding skills allow me to create scripts and automate processes that can help clients visualize the impact of our solutions.

During a recent project, I collaborated with marketing, engineering, and product management to align on a customer pitch. By facilitating discussions between teams, we were able to create a cohesive strategy that accurately reflected our platform's capabilities, resulting in a successful client acquisition.

Domino stands out due to its robust AI-driven platform that not only enhances data science development for financial services but also encourages collaboration and efficiency. Our commitment to continuous improvement and customer success truly differentiates us in a competitive landscape.