Jobs at Sentra

Design and operate secure, scalable backend services for Sentra’s AI-focused data loss prevention control plane. Build multi-tenant microservices, REST APIs, endpoint integrations, policy systems, telemetry, and data models supporting large device fleets. Connect DSPM classification with real-time DLP enforcement while ensuring reliability, observability, secure communication, and production ownership. Collaborate across product and engineering teams, conduct code reviews, and establish strong development practices.

Own product marketing for Sentra’s AI Data Readiness platform, including positioning, messaging, competitive intelligence, product launches, go-to-market execution, sales enablement, content, and thought leadership. Translate complex data security and AI technologies into differentiated customer value, collaborate with Product, Sales, Customer Success, and Marketing, and provide insights that improve customer engagement and business decisions.

Serve as the primary technical contact for enterprise customers, managing relationships, account reviews, deployments, integrations, adoption, training, and ongoing support. Guide customers across multi-cloud environments, identify security and efficiency improvements, resolve technical challenges, collaborate with support teams, and advocate for customer feedback in product development.

Own and expand Sentra’s end-to-end revenue technology systems, including CRM-to-warehouse synchronization, enrichment and AI scoring pipelines, forecasting, analytics infrastructure, and lifecycle automation. Operate and harden production systems, build new workflows, ensure reliable and explainable reporting, and drive adoption among revenue teams. The role requires strong programming, API integration, Salesforce and marketing automation expertise, SQL fluency, Git-based development, and practical experience deploying LLM-powered systems.

Design and implement core components of classification and policy stack, optimize data workloads, and partner on cross-functional initiatives for data governance.

Design and develop scalable architectures, guide R&D teams, collaborate with stakeholders, and optimize system performance in a cloud-native data security company.

Act as a technical liaison during the sales cycle: demo products, perform architecture reviews, support deployment and troubleshooting, inform product roadmap, collaborate with sales/marketing, and build relationships with customers and partners while staying current on industry trends.

Build and maintain Infrastructure-as-Code and deployment tooling for AWS/Azure/GCP, including Kubernetes and VM/on-prem installs. Develop backend services (Python/TypeScript) for orchestration, provisioning, health monitoring, and deployment verification. Work with Solutions Engineering and Support to troubleshoot and ensure reliable customer deployments.