At MIND, we're building the future of intelligent data protection. We help organizations protect their most sensitive information in the AI era - automatically. As the first data security platform that puts data loss prevention and insider risk management on autopilot, we're making protection smarter, simpler and more precise.
We're growing quickly, backed by industry leaders and trusted by innovative companies to secure data across SaaS apps, Gen AI tools and hybrid endpoints.
We solve complex problems with simplicity and creativity. Our team is made up of passionate builders who care deeply, think critically and want to make a meaningful impact. If you’re ready to mind what matters with us, we’d love to meet you.
We’re hiring a Solutions Architect to join our team. In this role, you’ll bridge the gap between Sales Engineering, Customer Success, and Product, acting as the technical escalation point for our go-to-market organization. You’ll work behind the scenes with GTM to monitor customer environments, detect gaps, and proactively resolve them -ensuring that customers achieve continuous value with MIND’s platform.
Responsibility- Lead all POVs and customer deployments, serving as the escalation point for Sales Engineers and Customer Success on complex technical challenges.
- Monitor customer environments to detect integration gaps, configuration issues, and adoption blockers.
- Partner with Sales Engineers on pre-sales validation and smooth handoffs into post-sales.
- Collaborate with Customer Success to fix technical challenges, accelerate adoption, and reinforce value.
- Feed structured insights from customers back to Product and Engineering to influence roadmap priorities.
- Build internal playbooks, troubleshooting guides, and automation tools to scale GTM operations.
- Stay informed about data security threats, compliance requirements, and competitive solutions to deliver expert guidance to customers.
- 5+ years in enterprise technical roles such as Solutions Engineering, Technical Consulting, or Security Engineering.
- Strong background in SaaS security, data protection, or enterprise IT environments.
- Hands-on experience with deployment, integration, and troubleshooting of complex technical platforms.
- Ability to translate technical detail into business outcomes for internal and external stakeholders.
- Strong problem-solving mindset with a proactive approach to identifying and fixing issues.
- Excellent collaboration and communication skills across GTM, Product, and Engineering.
What We Do
MIND is on a mission to help organizations thrive in a digital world by protecting their most sensitive information. MIND is the first AI-native data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot to autonomously find sensitive data, fix data risk issues and stop data leaks at machine speed across SaaS applications, Gen AI tools, endpoints, on-premises file shares and email systems. Our goal is to help our customers achieve Stress-Free DLP. The platform leverages MIND AI, our multi-layer classification engine, to analyze billions of data events in real-time, deliver context-aware risk assessments, enable automated remediation actions and block data loss on endpoints. We enable businesses to mind what really matters—their most sensitive data. Founded and led by cybersecurity leaders and industry veterans, MIND is based out of Seattle, WA. For more information, contact us at [email protected].
