Senior Director, Enterprise – Retail Vertical – Strategic Accounts

🕒 Maio 28

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Databricks

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Lead, grow and inspire the Strategic Enterprise Account Executives to help them overachieve on their goals and objectives. • Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes. • Develop trust-based relationships with customers and partners to ensure long-term success. • Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions. • Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

🎯 Requisitos

• 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces. • History of exceeding quota and thriving in hyper-growth Enterprise technology companies. • Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message. • Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success. • Strong Retail industry experience is preferred. • Proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical.

🏖️ Benefícios

• Databricks is committed to fair and equitable compensation practices. • Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

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