About the role

What will you do at Trustible?

The Role

We're hiring a Solutions Engineer to be the technical face of Trustible for our customers. You'll lead data migrations, configure the platform for each customer's environment, and build integrations with the tools they already use. This is hands-on technical work: you'll be in the data, in the config, and sometimes in the code, solving real problems for real organizations trying to get AI governance right.

We call this AI governance enablement because the job is bigger than "get the platform running." You're helping each customer's rollout reflect how their organization actually governs AI, so the platform earns trust and becomes something teams rely on rather than another item to check off.

What You'll Do

Lead customer data migrations into Trustible, including mapping, transformation, and validation
Configure the platform to match each customer's governance structure, workflows, and permissions model
Build and maintain integrations between Trustible and customer tools (ML platforms, ticketing systems, identity providers, and similar)
Troubleshoot technical issues during onboarding and beyond, partnering closely with engineering on the trickiest ones
Work with customer teams to understand their AI governance program and translate that into platform configuration
Contribute to internal tooling and scripts that make onboarding faster and more repeatable
Document integration patterns and configuration playbooks so the team can scale without reinventing the work each time
What You Bring
3-5 years of experience in a technical, customer-facing role: solutions engineering, implementation, technical account management, or similar
Strong SQL skills and comfort working directly with customer data during migration and transformation
Experience with API integrations and enough backend fluency to troubleshoot issues confidently and know when to bring in engineering
Excellent communication skills. You move easily between explaining a technical constraint to a business stakeholder and working through details with a customer's engineering team
Real curiosity about AI governance, risk, or compliance, and an eagerness to build expertise in the space
Comfort with ambiguity. Every customer's environment and requirements look a little different, and you enjoy figuring out the right approach each time

Nice to Have

Familiarity with MLOps tools (MLflow, Weights & Biases, SageMaker, or similar)
Exposure to cybersecurity or GRC tooling (Vanta, OneTrust, ServiceNow GRC, or similar)
Experience in legaltech, cybersecurity, or another regulated/compliance-driven market
Prior experience at an early or growth-stage startup

Compensation

& Benefits

Base salary: competitive, commensurate with experience

Meaningful equity in an early-stage, venture-backed company

Health, dental, and vision coverage

Unlimited PTO

Which skills does this role require?

SQLAPI integrationsData migrationData transformationData validationPlatform configurationTroubleshootingTechnical communicationAI governanceRisk managementBackend developmentSolutions EngineerAI GovernanceData MigrationAPIBackendTechnical Account ManagementImplementationPlatform ConfigurationIdentity ProvidersTicketing SystemsMachine Learning

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