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We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.
This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.
This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.
- Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.- Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
- Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
- Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
- Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
- Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.Required Qualifications
- 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
- Strong understanding of modern cloud-native stacks, including:
Kubernetes and containerized servicesCloud infrastructure (AWS/GCP/Azure)Data infrastructure (e.g., SQL, data lakes, data warehouses)
- Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
- Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
- Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.
Nice to Have:
- Familiarity with DSPM, CSPM, or adjacent data security and privacy tools.
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