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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer, AI Governance Enablement - **Company:** NATIVE, A PUBLIC BENEFIT CORPORATION - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Customer Data Management, Database Queries, Issue Tracking Systems, Azure Machine Learning, Systems Integration, Backend, Machine Learning Operations, Api Management, Servicenow - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/solutions-engineer-ai-governance-enablement-trustible-8981819 ## About the Role * 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, * 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 ## Description 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., * 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 ## Related Videos - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [From APIs to MCP: Enterprise Governance, Registry, and Controls](https://www.wearedevelopers.com/videos/100336-from-apis-to-mcp-enterprise-governance-registry-and-controls) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Say goodbye to building boring APIs with Azure Data API Builder](https://www.wearedevelopers.com/videos/1194-say-goodbye-to-building-boring-apis-with-azure-data-api-builder) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)