Lead presales
2 days ago
Role Summary
You will be the techno-commercial bridge between our business development team and enterprise customers. You'll lead discovery, craft solution architectures, and drive PoCs/pilots that showcase quantifiable value—energy savings, uptime improvement, and maintenance cost reduction across discrete and process industries.
Key Responsibilities
Discovery and Value Engineering
Lead plant walkthroughs, stakeholder workshops, and requirement deep-dives across production, maintenance, energy, and IT/OT.
Build ROI/TCO models with clear KPIs: specific power reductions, demand optimisation, asset uptime, MTBF/MTTR improvements.
Solutioning and Demos
Design end-to-end solutions spanning sensors/gateways, connectivity, to define deliverables, AI/ML analytics, and dashboards.
Configure and deliver tailored demos; plan and run PoCs/pilots with success criteria, test plans, and acceptance gates.
Proposal and Deal Support
Produce SoWs, solution architecture docs, BoMs/sizing, techno-commercial proposal integration architecture diagrams, and pricing inputs to the sales team
Lead RFI/RFP responses, compliance matrices, and technical due diligence.
Integrations and Data
Understanding the existing monitoring tools and defining integrations with EMS/BMS/SCADA/MES/ERP/CMMS, historians (e.g., PI, Ignition), and protocols: OPC UA, Modbus/TCP, BACnet, MQTT, REST.
Collaborate with cross-functional team, product/data science, to align use cases: anomaly detection, predictive maintenance, energy baseline modelling/M&V.
Stakeholder Enablement and Handover
- Act as a trusted advisor to plant managers, energy managers, reliability/maintenance, IT/OT security, and procurement.
- Ensure clean handoff to delivery with documented architecture, KPIs, and implementation plans.
- Coordinate between the sales team, PMO and procurement team for the smooth execution of the project
- Collaborate with the sales team on custom requirements from the site.
Required Skills and Experience
8+ years in presales/solution consulting within Industrial IoT, EMS, or condition-based monitoring for manufacturing/facilities.
Solid grasp of Industry 4.0 stack: sensors, gateways, edge, cloud, time-series, streaming analytics, and eventing.
Hands-on with one or more industrial protocols (OPC UA, Modbus, BACnet, MQTT, SNMP) and gateway configuration.
Demonstrated PoC/pilot execution in plants; comfort with site conditions and OT constraints.
Experience building business cases for energy savings, demand optimisation, and maintenance outcomes.
Familiarity with AI/ML industrial use cases and SaaS delivery (multi-tenant, APIs, web dashboards, alerting/workflows).
Knowledge of energy standards and M&V frameworks (ISO 50001, IPMVP, ASHRAE).
Excellent communication, whiteboarding, and proposal writing; ability to simplify complexity for business stakeholders.
- Engineering degree or Master's Degree (Electrical / Mechanical / Instrumentation / Industrial) or equivalent.
Nice-to-Have
Exposure to CMMS/EAM (MES/SCADA, historians, digital twins, or power quality/HVAC optimisation.
APAC manufacturing market exposure; partner ecosystem experience with SIs/OEMs.
Key KPIs
PoC/pilot win rate and conversion to production/ARR.
KPI attainment vs. proposed scope (energy savings, uptime, maintenance cost).
Sales cycle acceleration, technical win rate, and quality of SoWs/architectures.
Stakeholder satisfaction across operations, maintenance, and IT/OT.
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