Base: 70% of ote; variable: 30% of ote; total rang...
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 Customer Engineering team serves as the technical backbone for pre- and post-sales motions, owning the full lifecycle from acquisition to value realization
Job Summary
The Customer Engineering team serves as the technical backbone for pre- and post-sales motions, owning the full lifecycle from acquisition to value realization.
This role requires a builder who thrives on defining clear paths in ambiguous situations and uses AI as a multiplier to accelerate workflows and content creation.
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 Customer Engineering team serves as the technical backbone for pre- and post-sales motions, owning the full lifecycle from acquisition to value realization.
Salary
Base: 70% of OTE; Variable: 30% of OTE; Total Range: $193,393 - $241,742; Benefits: Employer-heavy coverage $0 premium options 401(k) match equity flexible time off
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 constraints tradeoffs
Connecting technical execution to business outcomes retention expansion ROI
Hands-on use of AI tools for workflow automation content creation
Mentoring or coaching junior technical team members
Nice-to-have
Experience with Pendo digital adoption platforms product analytics
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 or similar
Proven ability to architect and troubleshoot complex front-end implementations
Demonstrated integration of AI tools into day-to-day work rather than light experimentation