Location
London, hybrid role within commuting distance of London

Hours
Full Time

Salary
Highly competitive base salary with commission and accelerators

About the Role
Help shape the future of enterprise trusted AI. Artificial Intelligence is transforming the way the world's leading organisations operate. As AI adoption accelerates, so does the need for trust, security and governance. Our client, backed by leading venture capital investors, is building the trust and decision layer that enables enterprises to deploy AI securely, confidently and at scale. Operating at the intersection of AI, identity and data governance, they are creating an entirely new category of enterprise technology.
This is an exciting opportunity to join an ambitious, high-growth business and support the next phase of growth in Europe. You will become a trusted technical advisor, partnering with customers to demonstrate why data trust is the foundational layer every enterprise AI deployment needs and how the platform enables secure, context-aware and authorised access to enterprise data for AI applications.
Working closely with Sales, Customer Success and Partner teams, you will combine deep technical expertise with exceptional communication skills to guide organisations through every stage of the customer journey—from discovery and demonstrations through to proof of concept, deployment and adoption. If you enjoy solving complex technical challenges, influencing enterprise buying decisions and working with cutting-edge AI technologies, this role offers a unique and rewarding challenge.
This role offers a remote-first culture with a collaborative and mission-driven team, equity participation in a high-growth venture-backed company, and the opportunity to define and build a new market category from the ground up.

Experience
- 10–15 years' experience in Sales Engineering, Solutions Engineering or Technical Pre-Sales within enterprise software.
- Strong expertise in graph database technologies, including hands-on experience with Neo4j and the Cypher query language.
- Demonstrated understanding of Infrastructure as Code (IaC) principles and core Terraform workflow (init, plan, apply), with ability to maintain and update existing configurations.
- Comfortable implementing and maintaining data flows between systems using REST APIs for request-response actions and Apache Kafka / Confluent for message-based data movement.
- Experience with technologies such as Python, JavaScript, React, and Go.
- Experience in Identity & Access Management (IAM), particularly OAuth 2.0 and AuthZEN, cybersecurity, cloud technologies or enterprise software.
- Excellent presentation, communication and stakeholder management skills.
- Ability to travel largely within the UK and EU, with occasional global travel.

About you
- A consultative, customer-first approach with the ability to influence technical and business decision-makers.
- A genuine passion for solving complex technical challenges and helping customers unlock the value of AI securely.
- Exceptional communication skills and ability to translate complex technical concepts into clear business value for both technical and executive audiences.
- Strong relationship-building skills with enterprise customers, partners and system integrators.

Qualifications
No specific formal qualifications are stated; however, extensive experience and technical expertise in relevant technologies and sales engineering are essential.