Technical Pre-Sales Engineer

Complexio; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A pioneering AI joint venture in London is seeking a Technical Pre-Sales Engineer to act as a trusted advisor to clients. In this role, you will collaborate with sales teams to define project scopes, articulate technical concepts in commercial terms, and create tailored demos. The position requires strong communication skills and experience in a customer-facing technical role. Join a diverse team and contribute to transformative AI projects.

Benefits

Opportunity for professional growth

Collaborative team environment

Qualifications

• 5+ years in a customer-facing technical role.
• Experience with commercial or executive teams to position complex platforms.
• Strong understanding of APIs and cloud infrastructure.

Responsibilities

• Partner with sales and leadership to position technology in client meetings.
• Define and document the scope of PoCs and pilot programs.
• Tailor demos to showcase applied use cases.

Skills

Customer-facing technical experience

Communication skills

Understanding of enterprise data environments

Tools

AWS

Azure

Job description

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo

This is a high-impact, commercially-facing role. As a Technical Pre-Sales Engineer, you’ll act as a trusted technical advisor to prospects and partners — helping scope, position, and validate Complexio’s capabilities in early-stage discussions. You’ll collaborate directly with the Co-CEO and sales leads to win strategic accounts by clearly translating platform functionality into commercial outcomes.

You will not only support technical validation but help craft the story that makes Complexio’s architecture compelling for CIOs, CTOs, and Heads of Operations. This is about enabling confidence — not just answering questions.

Responsibilities:

• Partner with sales and leadership to position Complexio’s technology in client meetings, discovery calls, and solution workshops
• Understand client business processes and map those to the platform’s capabilities (ingestion, mapping, knowledge graph, orchestration, agent workflows)
• Define and document the scope of PoCs, pilot programs, and commercial deployments
• Articulate technical concepts (data architecture, infrastructure, security) in commercially relevant language for executive stakeholders
• Assist in the development of proposals, technical diagrams, SoWs, and integration outlines
• Work closely with engineering to ensure solution feasibility and clarity during the sales cycle
• Tailor demos and walkthroughs using real or anonymised data to showcase applied use cases (e.g. lost invoice detection, regulatory process mapping)
• Support conversations on deployment models (on-prem, air-gapped, hybrid) and data governance
• Help refine pricing estimates based on use case complexity and integration requirements

What Success Looks Like

• Trusted by the sales team and Co-CEO to support key deals and strategic conversations
• Confidently handles technical Q&A with both IT leaders and business users
• Accelerates sales cycles by reducing friction around deployment, data access, and technical feasibility
• Wins customer confidence through clarity, responsiveness, and commercial empathy

• 5+ years in a customer-facing technical role (pre-sales, solutions architecture, sales engineering)
• Experience working alongside commercial or executive teams to position complex platforms
• Deep understanding of enterprise data environments — familiarity with APIs, cloud infrastructure (AWS/Azure), IAM, and integration models
• Strong communication skills — equally comfortable with CIOs, compliance heads, and data architects
• Structured, proactive, and persuasive — able to distil core value from complex systems

Preferred

• Background in AI, machine learning, data platforms, or graph technology
• Experience in regulated industries (shipping, energy, finance, supply chain)
• Ability to adapt commercial materials and pitch narratives to different personas
• Familiarity with privacy-preserving architectures, unstructured data processing, or event-based reasoning models

• Join a pioneering joint venture at the intersection of AI and industry transformation.
• Work with a diverse and collaborative team of experts from various disciplines.
• Opportunity for professional growth and continuous learning in a dynamic field.