Customer Success Engineer
- On-site, Remote, Hybrid
- Palo Alto, California, United States
- Customer Success
Job description
About Trustero
Trustero is building the future of AI-powered Governance, Risk, and Compliance. We replace manual, painful GRC processes with automation—helping companies move faster, close deals faster, and earn trust at scale.
We’re early, growing fast, and looking for top performers who want outsized impact and upside.
The Role
This is not a maintenance role. This is a build-and-win role.
We’re hiring a Customer Success Engineer to cover pre- and post-sales support with the goal to help customers maximize their value from the Trustero platform.
We’re looking for someone who likes to solve problems, who is passionate about AI technology and how it helps improve GRC functions for various types of customers.
What You’ll Own
Pre-sales: Organizing demos, preparing Proof-of-Concept (POC), supporting sales calls, consulting on AI GRC best practices, helping the customer understand how to best use and integrate Trustero
Post-sales: Onboarding customers, shortening their path-to-value, advising on GRC architecture and engineering challenges, identifying and solving/organizing solving of customer problems, proposing product features
Operations: Streamlining CS operations, reporting, and planning. Creating and managing CS content
Job requirements
What Winning Looks Like
Prospects and customer happiness are the most important KPI.
Foster relationships with customers - Understanding their GRC function, challenges, and goals and how to use Trustero technology to achieve them.
Not only problem solving but also problem anticipation. Innovative combination of technical, process, and people approaches.
Deep knowledge and understanding of the customer portfolio. Feeding ideas to Product and Engineering.
Effective and Efficient.
What We’re Looking For
Deep knowledge and understanding of the GRC function
Experience with implementing GRC tools
Popular frameworks - SOC2, ISO27001, NIST - how to implement and operate them in an enterprise environment
Policies and controls design, implementation, and testing
Risk and Compliance management (bonus point: experience outside of CyberSecurity)
Prompt engineering, using AI agents to automate tasks
Navigating complex customer problems, tracking to resolution
Designing solutions to GRC problems
Feeding design requirements to Product and Engineering
Strong professional who understands the value of the greater team
Managing portfolio of customers, building relationships, running Quarterly Business Reviews (QBR)
Building CS processes, dashboards, and reports
Creating and managing support pages, How-To videos, best practices
Non-Negotiables
Prior direct experience with GRC tools and GRC function
Problem solving
Experience working AI - prompt engineering
Innovative mindset - thinking outside of the box
Relationship building
Why This Role
Real upside: cash compensation + meaningful equity
Real impact: you will shape how we develop our CS function in an AI-first environment
Real growth: working with cutting edge AI technologies to meaningfully improve the GRC profession
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