About Verdantis:
Verdantis is a leading provider of Enterprise Asset Management and Industrial Master Data Management software, specializing in Spare Parts Management. The company caters to sectors like Oil & Gas, Mining, Chemicals, Food & Beverages, and Manufacturing through its two primary product suites: EAM Suite (Built around MRO360) and MDM Suite (Featuring Harmonize for standardization and Integrity for governance). Kindly visit our Company Website https://www.verdantis.com/ for details.
Position Overview:
We are seeking a high-impact Pre-sales lead to drive our Go-To-Market (GTM) technical execution in the US. You will serve as the sole technical authority leading all customer discussions, architecture solutioning, and strategy for our AI-native Enterprise Asset Management (EAM) and modern Master Data Management (MDM) software suites.
Key Responsibilities:
- Lead Technical Discussions: Act as the primary technical point of contact leading discovery, solution scoping, and architecture presentations for US prospects.
- Support US GTM: Partner with Sales to execute our Go-To-Market strategy, focusing on positioning our unified AI-native platform over legacy systems.
- Demos & PoCs: Build and deliver tailored product demonstrations and Proof of Concepts (PoCs) bridging modern MDM capabilities into an AI-native EAM environment.
- Cross-Functional Collaboration: Coordinate fluidly with Product Management, Technical teams, Implementation teams, and Sales to align product roadmap with market demand.
Requirements & Qualifications:
- Domain Expertise: Deep, detailed understanding of EAM concepts alongside solid MDM frameworks.
- Industry Knowledge: Proven background navigating the asset data complexities of industries like Oil & Gas, Chemicals, Mining, or Manufacturing.
- Technical Independence: Comfortable operating as the standalone technical lead on enterprise deals without relying on back-end technical architects.
- Exceptional Presentation Skills: Elite communication skills to command credibility with C-level executives and translate AI capabilities into business ROI.
- Experience: 5+ years of experience in a Pre-sales Engineering role within the B2B enterprise SaaS, EAM, or industrial software sector.
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