Customer Success Engineer - Federal - Automation FINOPS

IBM

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Work type
On-site
Location
Washington, District Of Columbia
Posted
20 days ago

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Similar $163k
$121k most similar roles pay here $203k

This listing doesn't post a salary. Most similar roles pay $130,375–$195,260.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Customer Success Engineer - Federal - Automation FINOPS

The Customer Success Engineer role at the federal level is a senior position within the customer success team, focusing on ensuring high satisfaction and successful adoption of our automation solutions for financial operations in government agencies. Day-to-day responsibilities include collaborating with clients to understand their needs, implementing tailored automation strategies, and providing ongoing support to optimize workflows. The ideal candidate will have expertise in cloud platforms like AWS or Azure, proficiency in scripting languages such as Python or Bash, and a strong understanding of cybersecurity protocols relevant to federal regulations. This role requires deep knowledge of financial operations processes within the public sector and the ability to navigate complex organizational structures to deliver impactful solutions at scale.

What you'll do

  • Manage customer relationships and ensure high satisfaction levels for federal clients.
  • Develop deep understanding of customers' business needs and challenges.
  • Act as primary point of contact for technical support and issue resolution.
  • Create detailed reports on customer usage and provide actionable insights.
  • Train and educate customers on product features and best practices.

What we're looking for

  • Must hold an active federal security clearance.
  • Requires experience in customer success engineering for federal clients.
  • Strong background in automation and financial operations systems needed.
  • Excellent communication skills to manage client relationships effectively.
  • Proven ability to resolve complex technical issues in real-time settings.

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