Technical Pre-Sales Engineer

Overview
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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
Requirements
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
Benefits
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Sales and Business Development
Industries
Technology, Information and Internet
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