Senior Pre- & Post-sales Customer Engineer, Enterprise

Pendo.io

Remote, US
Base: 70% of ote; variable: 30% of ote; range: $19...
Remote
5 to 8 years customer-facing technical experience
Deep hands-on web technologies html css javascript rest apis
Managing strategic enterprise accounts with executive stakeholders
The role serves as the technical backbone for pre- and post-sales motions, owning strategic enterprise accounts from acquisition through expansion

Job Summary

  • The role serves as the technical backbone for pre- and post-sales motions, owning strategic enterprise accounts from acquisition through expansion.
  • Candidates must be builders who define clear paths in ambiguous situations and leverage AI tools to accelerate content creation and workflow efficiency.
  • The position offers competitive compensation with an On-Target Earnings range of $193,393 to $241,742, including equity and flexible time off.

Matching Summary

The role serves as the technical backbone for pre- and post-sales motions, owning strategic enterprise accounts from acquisition through expansion.

Salary

Base: 70% of OTE; Variable: 30% of OTE; Range: $193,393 - $241,742; Benefits: Equity, strong 401(k) match, $0 premium options

Skills & Requirements

Must-have

  • 5 to 8 years customer-facing technical experience
  • Deep hands-on web technologies HTML CSS JavaScript REST APIs
  • Managing strategic Enterprise accounts with executive stakeholders
  • Solving ambiguous problems with multiple variables tradeoffs
  • Connecting technical execution to business outcomes retention expansion
  • Hands-on use of AI tools for workflow automation
  • Experience mentoring or coaching junior technical team members

Nice-to-have

  • Experience with Pendo digital adoption platforms product analytics
  • Hands-on mobile app development Swift Android React Native
  • Familiarity with data architecture AI machine learning concepts
  • Track record of building reusable frameworks playbooks processes
  • AI-curious mindset rewiring work around AI tools

Key Requirements

  • 5 to 8 years experience in Sales Engineering Solutions Engineering TAM
  • Proven ability to manage strategic Enterprise accounts
  • Demonstrated integration of AI tools into day-to-day work
  • Experience mentoring or coaching junior technical team members

Work Rights

Not specified

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