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 .
Key Responsibilities: - Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
- 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 services
Cloud 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.
- Prior experience in Sales Engineering enablement , solution delivery , or product support roles.
- Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
- Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR).
- Experience working in fast-paced, high-growth environments or with distributed technical teams.
Why This Role Is Unique
- Embedded in the Engineering team , yet plays a key role in enabling go-to-market execution.
- Stay technical — work with modern cloud-native infrastructure, APIs, and data systems — without full-time software development duties .
High visibility and cross-functional impact across product, engineering, and field organizations.
Great fit for someone who loves solving technical problems , enabling others, and working on cutting-edge security tech — without needing to be a full-time coder .
About the company