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.

Role : Pre-sales Engineer (US-Based) :

Position Overview :

We are seeking a high-impact Pre-sales Engineer to drive our Go-To-Market (GTM) technical execution. 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 prospects.

- Support 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.