Pre-Sales Engineer

1 week ago

Johannesburg, Gauteng, South Africa Razor Labs Full time R1 200 000 - R2 400 000 per year


As a Pre-Sales Engineer, you are the technical bridge between business development and prospective customers clarifying needs, crafting solutions and showcasing how AI can transform mining operations.

Key Responsibilities:
  • Own the technical win from the first discovery workshop through implementation hand-off.
  • Shape the solution: define use cases, success metrics and data readiness with reliability, OT and operations teams.
  • Prove value: design and deliver tailored demos, proof-of-value projects and RFP/RFI responses that highlight clear ROI.
  • Translate insights into executive-level value briefs and partner with Account Executives on proposals and negotiations.
  • Ensure a smooth hand-off: package all technical artifacts and stay the subject-matter expert until initial KPIs are achieved.
  • Close the feedback loop: capture South African-market needs (fixed assets, mobile equipment, ESG) and relay them to Product & Engineering.
Requirements
  • At least 5 years in a technical role supporting enterprise software/hardware in industrial settings (preferably mining or heavy industry).
  • Experience with predictive maintenance, reliability engineering, or condition monitoring systems.
  • Hands-on analysis of vibration/ lubrication/ thermography or similar data on fixed and mobile mining equipment plus sensor selection, installation and certification experience.
  • B.Eng. in Mechanical, Electrical, Instrumentation or Mining (or equivalent experience).
  • Familiarity with suites such as AVEVA Predictive Analytics, Aspen Mtell, OSIsoft PI, GE APM.
  • Proven ownership of RFP/RFI responses and live demo environments that converted technical validation into signed deals.
  • Strong written and verbal communication skills, from shop floor to C-suite.
  • Mine-site safety compliant; ready for frequent short-notice travel.
Advantages:
  • Experience deploying disruptive technologies, PdM solutions or digital twins in heavy-industry environments.
  • Knowledge of reliability-centred maintenance and condition-based maintenance programmes.
  • Category II or higher ISO vibration-analysis certification (or equivalent).
  • Exposure to mobile-fleet health systems (Caterpillar MineStar, Modular Mining MineCare).
  • Basic ad-hoc analytics skills (Excel / Power BI / Python).

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