VP, Enterprise Solutions (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
VP, Enterprise Solutions (AI): Orchestrating strategic enterprise engagements to transition customers from visibility to AI-powered intelligence and automation with an accent on solution scoping and C-suite partnership. Focus on driving commercial impact, accelerating deal velocity, and translating complex customer needs into scalable AI-driven products.
Location: Remote (United States); Office-based or hybrid options available.
Salary: $200,000–$220,000 base + bonus structure
Company
is an AI-powered supply chain visibility platform helping the world's largest enterprises reduce shipment delays, theft, and spoilage.
What you will do
- Own end-to-end enterprise customer relationships from opportunity identification through solution adoption.
- Build trusted partnerships with CEOs, CIOs, and CTOs across Global 2000 organizations to lead AI strategy and transformation workshops.
- Drive commercial outcomes, including Net Revenue Retention (NRR) and expansion revenue for customized AI modules.
- Design and scope technical solutions for the Forward-Deployed Engineering (FDE) team to build.
- Serve as the primary coordination point between the Customer, FDE, Engineering, Product, Sales, and Customer Success.
- Identify opportunities to graduate customer-specific solutions into scalable platform capabilities.
Requirements
- 15+ years of experience in enterprise technology, digital transformation, consulting, or solutions leadership.
- Proven track record of hitting commercial targets and influencing C-suite stakeholders in Fortune 500/Global 2000 organizations.
- Experience in Challenger or Consulta sales motions.
- Strong understanding of AI, machine learning, enterprise software, and modern cloud data architectures.
- Bachelor's degree required; MBA or advanced technical degree preferred.
- Must be based in the United States.
Nice to have
- Experience with enterprise SaaS platforms and Forward Deployed Engineering (FDE) models.
- Background in supply chain, logistics, or manufacturing operational technology environments.
- Experience in product management and product strategy leadership.
- Experience deploying and managing AI agents and cloud ecosystems (AWS, Azure, Google Cloud).
Culture & Benefits
- Autonomy and resources to build high-impact solutions.
- Collabora global team environment rooted in transparency and relentless iteration.
- Flexible work arrangements: choice of office-based, hybrid, or remote.
- Competi equity packages ensuring long-term ownership in the company's success.
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