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Cloudera

Sr. Solutions Engineer - ATL

Posted 17 Days Ago
Remote
4 Locations
Senior level
Remote
4 Locations
Senior level
As a Senior Solutions Engineer, you will lead technical sales processes, design solutions, engage customers, and advocate for their needs with internal teams.
The summary above was generated by AI

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

At Cloudera, our goal is to make everyone feel valued for their contributions to the company’s mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us in the East US Region.

As a Senior Solutions Engineer you will:

  • 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)

We’re excited about you if you have:

  • Four year degree (Bachelor's) from accredited university required

  • Ability to travel domestically 

  • A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers

  • 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). Formal certification is not required, but would be a great thing to have

    • 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

What you can expect from us:

  • 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

Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

#LI-MM1

#LI-Remote

Top Skills

AWS
Azure
Big Data
Data Engineering
Data Science
Data Warehousing
GCP
Linux
Machine Learning
Relational Databases
Unix

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