Senior Solutions Engineer

🕒 Maio 14

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Cloudera

1001 - 5000 funcionários

Fundada em 2008

🏢 Corporativo

☁️ SaaS

🤖 Inteligência Artificial

💰 $4.099.999 Venture Round em 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera é uma empresa líder em Enterprise Data Cloud que capacita empresas a gerenciar e analisar dados em qualquer ambiente. Oferecendo uma plataforma de dados híbrida, a Cloudera viabiliza arquiteturas modernas de dados com soluções como open data lakehouse, data mesh escalável e data fabric unificado, projetadas para inteligência artificial (IA), engenharia de dados e machine learning (ML). Os principais setores atendidos incluem serviços financeiros, telecomunicações, saúde e outros, nos quais a plataforma da Cloudera possibilita uma gestão de dados segura, escalável e eficaz. Ao alavancar IA e analytics avançado em escala, a Cloudera ajuda as organizações a transformar dados em insights acionáveis.

Descrição

• Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) • Supporting the technical needs of customers including discovering new use cases for Cloudera’s technology • Designing solutions for your customers’ needs using Cloudera technologies, based on reference architectures and common patterns • Demonstrating Cloudera products in a way that inspires your customers to say “yes” to Cloudera • Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales • Presenting product roadmap and vision to inspire your customers to think bigger • Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice • Advocating for your customers’ needs to Product Management and Engineering • Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)

🎯 Requisitos

• A passion for using technology to make a difference to people and organizations. • Bachelor's degree in related field of study or equivalent work experience. • A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context • The ability to create and give technical presentations and demonstrations • Experience with some of the following technologies: Big Data, Data Warehousing or Relational Databases • One or more of the three major cloud service providers (AWS, Azure or GCP). • Data Engineering, Data Science or Machine Learning Operations, Security and Data Governance within the enterprise • Unix or Linux • Experience gathering and understanding customer business requirements • Excellent written and verbal communication • Problem solving skills • A willingness to learn, a curiosity to discover and a drive to make your customers successful.

🏖️ Benefícios

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups

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