PreSales Engineer (Mining Tech)
- Johannesburg, Gauteng
- Permanent
- Full-time
- 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.
- 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.
- 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 18436-2 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).