Senior Pre-Sales Engineer

About KXKX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.

Overview Of The Role KX is currently seeking a Senior Pre-Sales Engineer to join our technical sales team. As a Senior Pre-Sales Engineer, you’ll spend your time working directly with customers and prospects – understanding prospect environments and use cases, providing technical skills to help them understand KX and OneTick software, identifying where KX can expand new sales opportunities, assist at events, and much more.

Location & Workplace Type Hybrid working model based out of our NY Office – 2 days in the office. ​ Skills

• Bachelor’s degree in computer science or related field.
• 3+ years’ proven experience in a kdb+ role within capital markets.
• Proficient with q, python and SQL
• General data modeling knowledge and understanding of financial market data, data structures and asset classes (e.g., equities and derivatives, ETFs, futures, options, fixed income, FX, crypto)
• Excellent communication skills and ability to describe complex topics to technical and non-technical stakeholders.
• Excellent problem-solving skills and ability to operate in a fast-paced environment.
• Ability to manage multiple customers and deliverables simultaneously.

Essential Experience

• 3+ years’ proven experience in a kdb+ role within capital markets.
• Proficient with q, python and SQL
• General data modeling knowledge and understanding of financial market data, data structures and asset classes (e.g., equities and derivatives, ETFs, futures, options, fixed income, FX, crypto)

Preferred Qualifications

• Good understanding and preferably experience working with quantitative finance
• Good understanding and preferably experience working in a technical sales / sales engineering role
• Previous experience with vector databases, LLMs, and Generative AI workflows. Using AI within your daily workflows to improve efficiency
• Previous experience with cloud and on-prem/cloud hybrid architectures.
• Having a track record of demonstrating self-starting and introducing new initiatives.

Key Responsibilities

• Serve as the primary technical point of contact for sales reps, customers and prospects developing strong relationships with stakeholders.
• Perform regular demonstrations that address pain points, identify areas where we add value, and assess opportunities.
• Provide product training to prospects to ensure they have sufficient expertise to utilize our software.
• Provide ongoing technical guidance to prospects and raise any issues internally to leadership, product and R&D.
• Identify opportunities for new use cases and present both internally and externally.
• Identify potential risk areas and vulnerabilities and work with internal stakeholders to mitigate.
• Work with the Account Executives to identify areas for growth in new accounts.
• Define solution architecture for new use cases and expansion opportunities.
• Provide demos, workshops, and proof of concepts to advance opportunities.
• Maintain accurate records of customer interactions, issues, use cases, performance metrics, etc.

Why Choose KX Data Driven: We lead with instinct and follow fact. Naturally Curious: We lean in, listen and learn fast. All In: We take ownership, take on challenges and give it our all.

Benefits

• Competitive Salary
• Individually tailored training and skills development
• Private healthcare package and Employee Assistance Programme
• Enhanced maternity and paternity package
• Wellness Days and Volunteer Days