Complexio

Technical Pre-Sales Engineer

Complexio

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloud

About the role

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