Sales Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Conduct technical discovery and MEDDPICC qualification (Metrics, Decision Criteria, Decision Process, Competition) on designated deals.

• Manage comprehensive proofs of concept (POCs) following established written entry/exit criteria and defined time limits.

• Spearhead competitive displacement by designing migration strategies from existing platforms and making the case for retention.

• Create signed total cost of ownership (TCO) models and business cases tailored for economic decision-makers.

• Effectively prioritize time based on deal size and stage, developing self-service resources for the shared library as a secondary focus to deal execution.

• Maintain technical relationships with systems integrators and regional reseller partners during co-selling efforts.

• Oversee post-sale continuity for 45 days following closure before executing a formal written handover to the Technical Account Manager (TAM).

• Provide structured competitive intelligence and platform gap information to the Senior Solution Architect and Product teams.

• Propel the technical win on named, forecasted enterprise deals through to commercial closure.

• Engage once Sales qualifies the opportunity, concentrating on competitive displacements in latency-sensitive sectors such as financial services, payments, and telecommunications.

• Collaborate with 2–3 Regional Sales Directors, report to the regional Sales Leader, and maintain a dotted line to the global Senior Director of Solutions Architecture.

⛳️ Requirements

• Over 8 years of experience in enterprise technology, with a minimum of 4 years in pre-sales for competitive, executive-sponsored B2B deals.

• Extensive domain knowledge in Financial Services (payments, cards, capital markets, core banking) or related verticals (telecommunications, e-commerce, logistics).

• Practical technical credibility in Java (or C# / C++), SQL, Helm, Kubernetes, major cloud platforms, and stream processing technologies (Kafka).

• Strong architectural expertise in clustered, event-driven, real-time, and emerging real-time AI environments (vector search, feature serving).

• Demonstrated success in winning displacement deals against established data platforms.

• Solid commercial acumen with the capability to construct TCO cases, rigorously qualify opportunities, and conduct live/interactive technical demonstrations.

• Familiarity with relevant regulatory frameworks for the region (e.g., PCI-DSS, SOC 2, and EU operational resilience in NA/EMEA).

• Bachelor's degree in a relevant discipline (Computer Science or a related field).

🏝️ Benefits

• 25 days of Annual Leave + Bank Holidays + Quarterly Wellbeing Days.

• Group Company Pension Plan.

• Private Medical Insurance.

• Private Dental Insurance.

• Life Insurance.

• Employee Assistance Program (EAP).