Client Solutions Partner

September 16

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Quantiphi

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Big Data • Decision Science • Predictive Analytics • Machine Learning • Consulting

1001 - 5000

💰 Series A on 2019-12

Description

• Lead and manage customer engagement opportunities from lead generation to deal review to negotiations and closing a deal. • Drive business development, forecast accurately, and achieve strategic goals by leading customers through the entire business cycle. • Actively understand each customer’s technology footprint, strategic growth plans, business drivers, landscape, and how Quantiphi solutions deliver value. • Build and deepen executive relationships with enterprise customers and bring to Quantiphi your mature cross-functional relationships to help us grow into new organizations. • Manage entire complex sales-cycles, often presenting to C-level executives in corporate and global customers. • Lead account strategy in generating and developing business growth opportunities, working collaboratively with Internal GTM teams and our alliance partners - all to maximize business results in territory and open up opportunities with large enterprise customers. • Being available for on-site visits, project kick-offs, stakeholder meetings, and other critical interactions that require physical presence to ensure successful project outcomes.

Requirements

• Over five years of expertise in data analytics or cloud deployment, demonstrating a deep understanding of the ecosystems and their various components. • Hands-on work with data management, analysis tools, cloud platforms, and deployment methodologies, ensuring a robust foundation in both technical and strategic aspects. • Proven track record of successful end-to-end implementations for large enterprises. This includes planning, executing, and managing complex projects from inception to completion, delivering solutions that meet or exceed client expectations. • At least three years in a client-facing role, project/team lead position, or account management role for mid to large enterprises. • Conceptual knowledge or hands-on experience with AI/ML and GenAI technologies is a significant advantage. • Experience working across multiple industries, providing versatile and adaptable solutions.