Vice President, Presales Engineering

Accountabilities: As Vice President of Presales Engineering, you will lead the presales strategy and organization, ensuring that technical expertise, customer engagement, and innovative solutions contribute directly to business growth. Presales Leadership and Team Development: Lead, mentor, and grow the presales engineering organization, establishing its structure, operating processes, and career development paths to attract, develop, and retain top talent. Technical Sales Strategy: Own the technical win by guiding the team in delivering tailored product demonstrations, proofs of concept, and solution architectures that clearly communicate the value of enterprise solutions within the SAP ecosystem. AI Integration and Innovation: Drive the adoption of AI across the presales lifecycle, embedding AI-powered tools and capabilities into demonstrations, messaging, positioning, and solution design to differentiate offerings and accelerate sales cycles. SAP Solution Positioning: Ensure the team can effectively position Order Management capabilities across SAP ECC and S/4HANA, addressing customer needs across existing and transitioning SAP environments. Go-to-Market Execution: Partner with Sales leadership on account strategies, deal pursuits, executive engagement, and the development of repeatable presales assets, methodologies, and playbooks. Product Feedback and Roadmap Alignment: Act as the voice of the field by collecting, structuring, and prioritizing customer and prospect feedback to inform Product Management and future product innovation. Marketing and Competitive Positioning: Collaborate with Marketing to develop technical messaging, value propositions, and competitive positioning that resonate with SAP buyers and enterprise decision-makers. Performance Measurement: Define and monitor presales KPIs, including technical win rates, demonstration effectiveness, and time-to-solution, using performance data to continuously improve team impact. Customer and Industry Representation: Represent the organization in customer meetings, industry events, and partner engagements as a trusted technical expert and thought leader. Cross-Functional Collaboration: Maintain strong alignment between presales, delivery, and customer success to ensure that proposed solutions are successfully implemented and customer expectations are met. Requirements: The ideal candidate combines extensive presales leadership experience, deep SAP expertise, and a strong understanding of how AI can improve enterprise software sales and customer engagement. Professional Experience: At least 10 years of experience in presales, solution engineering, or solution consulting, including at least 5 years in a leadership position managing and developing presales or solution engineering teams. SAP Expertise: Deep knowledge of SAP environments, with demonstrated expertise positioning Order Management capabilities across SAP ECC and S/4HANA. Additional SAP Knowledge: Experience demonstrating SAP Joule, SAP Business Technology Platform (BTP), Customer Experience (CX) solutions, and the Sales and Distribution (SD) module. AI and Emerging Technologies: Experience applying Claude AI to everyday tasks and improving internal processes, alongside the ability to leverage or integrate AI and generative AI into sales, presales, or product workflows. Business and Technical Communication: Ability to translate complex enterprise software capabilities into clear, compelling, business-focused value propositions for both technical and executive audiences. Go-to-Market and Revenue Experience: Proven success supporting go-to-market strategies and revenue objectives in a B2B enterprise software or SaaS environment. Executive Presence: Strong communication, presentation, and influencing skills, with the ability to build credibility and engage effectively with customers, partners, and senior stakeholders. Product Collaboration: Experience establishing structured feedback loops between customer-facing teams and product development. Education: Bachelor's degree in Computer Science, Engineering, Business, or a related discipline, or equivalent practical experience. Travel: Willingness to travel as required to support customer engagements and business priorities. Preferred Qualifications: Direct experience with SAP Order Management, order-to-cash processes, or customer service and counter-sales operations. Familiarity with the SAP market and experience selling independent software vendor (ISV) products or add-on solutions within the SAP ecosystem. Hands-on experience implementing AI-powered demonstration automation, conversational AI, or intelligent solutioning tools. Experience scaling a presales organization during a period of rapid business growth. SAP certifications or equivalent recognized professional credentials. MBA or another advanced degree. Benefits: Fully remote position based in the United States. Full-time executive leadership opportunity with global responsibility. Opportunity to shape and scale a presales engineering organization. Strategic involvement in AI adoption and innovation across the enterprise sales lifecycle. Cross-functional exposure and collaboration with Sales, Product, Marketing, delivery, and customer success teams. Opportunities to represent the organization in customer engagements, industry events, and partner initiatives. Salary, healthcare coverage, paid time off, and other specific benefits are not detailed in the job description. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). 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