The Enterprise Account Executive will drive regional revenue by executing a channel-centric sales strategy and managing the full sales lifecycle. They will collaborate with internal teams and partners to build pipeline, manage complex procurement processes, and meet or exceed sales quotas.
Define and drive the product strategy and roadmap for AI-SIEM detection engines and content. Collaborate with engineering, data science, and threat research teams to deliver AI-native detection solutions.
Define and drive the product strategy and roadmap for AI-SIEM detection engines and content. Collaborate with engineering, data science, and threat research teams to deliver AI-native detection and response solutions.
Define and drive the product strategy and roadmap for AI-SIEM detection engines and content. Collaborate with engineering, data science, and threat research teams to deliver AI-native detection solutions.
Lead and develop global strategy and go-to-market execution for strategic and OEM technology partnerships. Manage cross-functional collaboration across product, engineering, and sales teams to drive integration initiatives and exceed performance goals.
The Director of Strategic Partnerships will own and operationalize a portfolio of key technology alliance relationships to drive commercial impact. They will build joint go-to-market plans and co-sell motions while representing SentinelOne at the highest levels of partner organizations.
Coordinate end-to-end AI learning projects and analyze learning needs to drive employee upskilling and operational efficiency. Evaluate AI-powered tools and manage change processes to ensure successful adoption across the global organization.
Lead the design and operation of distributed data services like Kafka and Redis across massive-scale Kubernetes clusters and multi-cloud environments. Drive infrastructure automation and optimization to ensure high-throughput, low-latency data ingestion while maintaining cloud portability.
The Partner Development Manager will recruit and scale strategic Managed Security Service Providers by co-developing revenue-generating service offerings. They will act as the primary bridge between partners and the internal sales organization to drive regional growth and ensure program governance.
Drive rapid response to customer-critical incidents by diagnosing and resolving complex production issues across the Agent Platform. Lead systematic root-cause analysis and implement durable improvements to the platform's reliability, scalability, and observability.
The Director of Product Management will own the strategy, roadmap, and business outcomes for the Cloud Security portfolio while leading a team of product managers. They will act as a bridge between engineering, sales, and customers to translate market signals into successful product delivery.
Partner with business leaders to drive the end-to-end People and talent agenda while supporting organizational growth and scaling. Lead decision-making processes regarding organizational design, compensation, learning and development, and employee relations.
Manage a team of solutions engineers in the Central US region while partnering with customers and business development to drive strategic growth. Develop and implement effective solution engineering strategies to solve complex technical problems and support new business opportunities.
Manage the full lifecycle of DFIR investigations, from initial intake and scoping to final delivery and post-engagement reviews. Provide technical leadership by directing analytical focus, validating team findings, and maintaining clear communication with customers and stakeholders.
Design, develop, and operate large-scale, high-volume backend applications to support the agent platform. Collaborate with cross-functional teams to deliver scalable security solutions and maintain system reliability.
The Senior AI Platform Engineer will architect and scale the company's AI Gateway infrastructure while driving reliability and incident response for AI-related services. They will also design cross-platform solutions, evaluate AI developer tooling, and manage self-hosted model serving infrastructure.
Architect, scale, and maintain the AI Gateway infrastructure while driving reliability and incident response for AI-driven services. Collaborate cross-functionally to design platform-wide solutions and support the lifecycle of self-hosted and API-based LLM models.
Lead and mentor a team of detection engineers while personally contributing to the development and review of detection rules. Manage operational cadence, threat triage, and cross-functional partnerships to ensure timely and effective detection coverage.
You will serve as the primary technical lead for high-severity customer incidents involving the Windows EDR agent, performing deep root-cause analysis and code-level debugging. Additionally, you will communicate remediation plans to stakeholders and mentor engineering teams to improve triage and resolution processes.
Design, build, and maintain complex routing flows in LeanData and Salesforce to ensure accurate record assignment and data integrity. Collaborate with sales, marketing, and channel teams to translate go-to-market strategies into scalable, automated workflows.
The Principal AI Developer Experience Architect will design and own the end-to-end architecture for AI-augmented development, including LLM platforms and coding assistants. They will also establish AI coding standards, lead vendor evaluations, and drive developer adoption through metrics-driven initiatives.
Define and execute the technical roadmap for AI engineering to develop next-generation cybersecurity solutions. Lead cross-functional collaboration and mentor distributed teams while establishing best practices for MLOps and system performance.
You will act as a bridge between customers and engineering, shipping integrations, fixes, and platform improvements while translating ambiguous requirements into technical strategies. Your role involves deep fullstack development, customer engagement, and contributing to core product codebases to ensure successful deployments.
You will research, design, and implement innovative security capabilities for Linux and cloud environments using low-level kernel hooks and user-space pipelines. Additionally, you will conduct code reviews, write tests, and architect end-to-end security solutions to protect global enterprise workloads.
Embed within functional departments to scope, design, and build full-stack custom applications using modern AI tools. Own the end-to-end delivery process, including architecture, testing, deployment, and stakeholder training.
Design, build, and operate the enterprise AI platform components including the Gateway, Harness, and Semantic Layers. Collaborate with cross-functional teams to integrate governed data sources and ensure platform scalability, security, and observability.
Design and develop backend services in Go for on-premises deployments while managing the deployment lifecycle using Docker and Kubernetes. Ensure system reliability by maintaining REST/gRPC APIs and implementing observability through OpenTelemetry.
Embed within functional departments to discover pain points and design custom full-stack applications using modern AI tools. Own the end-to-end delivery of these applications, including architecture, testing, deployment, and stakeholder training.
You will bridge the gap between customer requirements and product engineering by shipping integrations, fixes, and platform improvements. Additionally, you will provide technical leadership and mentorship to the Forward Deploy Engineering team while architecting end-to-end solutions for complex problems.
The Content Creator will concept, shoot, edit, and publish high-volume, platform-native short-form video content to drive brand engagement. They will also serve as the on-camera face of the company and manage community interactions across social platforms.
The Principal Software Engineer will drive cross-team architectural decisions for the AI SIEM platform, ensuring seamless integration between data ingest, analyst workflows, and detection engines. They will mentor senior engineers and establish technical standards to maintain system interoperability and performance at scale.
You will design, build, and operate the enterprise AI platform, including the Gateway, Harness, and Semantic Layers. You will also write production code to govern, observe, secure, and scale AI activity across the company.
Lead and scale AI engineering teams to deliver production-grade AI systems and customer-facing capabilities. Partner with cross-functional leaders to translate strategic AI roadmaps into reliable, scalable software outcomes.
Manage and grow a group of focus partners in the German region to increase partner-generated revenues and initiated deals. Implement channel strategies, lead enablement sessions, and coordinate marketing activities to expand market and vertical coverage.
Lead the Client Development organization to drive net revenue retention through proactive account expansion and strategic renewal management. Oversee high-value accounts by building executive relationships and coaching a team of account managers in consultative selling.
Own the end-to-end execution of the web experimentation program, from behavioral research and hypothesis development to setup and reporting. Serve as the resident expert for Webflow Optimize to drive data-backed UX improvements and conversion growth.
Manage the full sales cycle from prospecting to closure to drive net-new and recurring revenue. Collaborate with channel partners and internal marketing/product teams to implement GTM campaigns and grow the assigned territory.
Lead the organization responsible for infrastructure services and developer tooling to optimize how engineers build, test, and ship software. Define and execute the strategy for integrating AI across the software development lifecycle to enhance productivity and engineering intelligence.
The role involves anchoring the federated enterprise architecture function and serving as a connector across IT, AI, and Security. Key duties include managing the technology radar, chairing the Architecture Review Board, and defining organization-wide architecture standards.
Build and optimize lightweight security sensor components and Agentic AI capabilities for a Generative AI security platform. Own customer-facing technical issues end-to-end, translating business roadmaps into high-performance engineering decisions.
Lead the architectural design and technical strategy for high-performance, petabyte-scale data processing pipelines for the Observo.ai platform. Drive the development of ML-driven data routing engines and provide technical mentorship to engineering teams.
Own the end-to-end development of new agent capabilities, focusing on Linux and cloud security technologies. This includes researching detection strategies, designing kernel-level components, and delivering scalable security solutions.
Lead the design and operation of mission-critical distributed data services like Kafka and Redis across multi-cloud Kubernetes environments. Focus on scaling data infrastructure for petabytes of daily ingestion while optimizing for cost, latency, and high availability.
Design and develop high-volume, low-latency backend applications using Go and Java to support real-time automated hunting and detection. Collaborate with cross-functional teams to translate business requirements into scalable data architecture solutions.
Design and develop high-volume, low-latency backend applications using Go and Java to support real-time automated hunting and detection. Collaborate with cross-functional teams to translate business requirements into scalable data architecture solutions.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize critical components such as anti-tampering protections, network sensors, and agent infrastructure.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize mission-critical components such as anti-tampering protections, network sensors, and agent infrastructure.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize mission-critical components such as anti-tampering protections, network sensors, and agent infrastructure.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize critical components such as anti-tampering protections, network sensors, and agent infrastructure at a massive scale.
Lead the design and implementation of next-generation cloud-based security platforms and data collection modules. Handle massive scale telemetry and forensic data collection from millions of endpoints using Python and Golang.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize mission-critical components such as anti-tampering protections, network sensors, and agent infrastructure at a massive scale.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize mission-critical components such as anti-tampering protections, network sensors, and agent infrastructure.
Manage the full lifecycle of DFIR investigations from intake and scoping to final delivery and archival. Provide technical leadership by directing analytical focus, validating findings, and conducting forensic analysis when required.
Embed with various functional departments to discover pain points and build custom full-stack AI applications. Own the end-to-end delivery from architecture and prototyping to production deployment and user adoption.
Embed with various functional departments to discover pain points and build custom full-stack AI applications. Own the entire delivery lifecycle from scoping and architecture to deployment and user adoption.
Lead the technical roadmap and architecture for next-generation AI-powered cybersecurity solutions. Drive cross-functional collaboration to integrate AI capabilities and establish MLOps best practices across the platform.
Manage post-sales relationships for high-value enterprise customers to drive product adoption and ensure measurable outcomes. Collaborate cross-functionally to mitigate customer risk, manage escalations, and maintain high retention rates through executive engagement.
Own the end-to-end execution of the web experimentation program, from behavioral research and hypothesis development to setup and reporting. Act as the resident expert for Webflow Optimize to drive data-backed UX improvements and site-wide conversion growth.
Build and optimize lightweight security sensor components and adaptive policy logic for a Generative AI security platform. Own customer-facing technical issues end-to-end, translating business roadmaps into high-performance engineering decisions.
Lead the design and operation of mission-critical distributed data services like Kafka and Redis across multi-cloud Kubernetes environments. Focus on automating infrastructure lifecycle and optimizing performance and cost for petabyte-scale data ingestion.
Lead the organization responsible for infrastructure services and developer tooling to optimize how engineers build, test, and ship software. Define and execute the strategy for integrating AI across the software development lifecycle to improve productivity and engineering intelligence.
Design and develop Python-based backend services for on-premises deployments in air-gapped and restricted environments. Manage the deployment lifecycle using Docker and Kubernetes while ensuring database schema evolution and system observability.
Design and develop high-volume, low-latency backend applications using Go and Java to support real-time automated hunting and detection. Collaborate with cross-functional teams to translate business requirements into scalable data architecture solutions.
The role anchors the federated enterprise architecture function, serving as a connector across IT, AI, and Security. Responsibilities include setting architecture standards, chairing the Architecture Review Board, and publishing technology radars and AI blueprints.
The role involves developing fullstack solutions and integrations to bridge the gap between customer requirements and the core product. You will design technical specifications, contribute to the core codebase, and partner with customers to deploy scalable security solutions.
The role involves developing fullstack solutions and integrations to bridge the gap between customer requirements and the core product. You will lead technical engagements, mentor other engineers, and contribute upstream improvements to the platform.
Drive emerging social media strategies by creating high-volume, platform-native content that brings cultural relevance to the cybersecurity space. Partner cross-functionally to translate business objectives into performing social content and manage community engagement across various platforms.
Design and develop advanced security features for the Windows endpoint protection platform across user-mode and kernel-mode environments. Build and optimize mission-critical components such as anti-tampering protections, network sensors, and agent infrastructure.
The Principal AI Developer Experience Architect will design and own the end-to-end architecture for AI-augmented development, ensuring enterprise-grade AI coding assistants are secure, performant, and reliable. They will lead the integration of AI-driven code review tools and establish global standards for AI-assisted workflows across the engineering organization.
Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines handling petabyte-scale telemetry. Drive the development of ML-driven data routing and transformation engines while mentoring engineering teams to ensure system performance and reliability.
The representative will be responsible for identifying and qualifying high-value leads across German-speaking regions through both inbound and outbound activities, serving as a crucial link between Marketing and Sales. Key duties include presenting SentinelOne to enterprise clients, generating qualified meetings for Account Executives, and maintaining alignment with the enterprise sales team.
The engineer will design, develop, test, and debug complex, real-world problems primarily in user-mode and kernel-mode using modern C++ for the core Endpoint Protection product. This involves significant feature design, rewriting existing components, and tackling extraordinary performance and optimization challenges at scale.
The engineer will design, develop, test, and debug complex, real-world problems primarily in modern C++ within both user-mode and kernel-mode for the Endpoint Protection product. This involves significant work on complex low-level areas like Anti-Tampering, network sensors, and agent infrastructure, while continuously enriching knowledge of Windows OS internals.
The engineer will design, develop, test, and debug complex, real-world problems primarily in modern C++ within both user-mode and kernel-mode environments for the Endpoint Protection product. Responsibilities include designing and executing significant new features while rewriting and reimplementing existing ones, focusing on performance and stability challenges at scale.
The engineer will design, develop, test, and debug complex, real-world problems primarily in user-mode and kernel-mode using modern C++ for the core Endpoint Protection product. Responsibilities include designing and executing significant new features while rewriting and reimplementing existing ones, focusing on performance and stability challenges at scale.
The role includes end-to-end responsibility for new agent capabilities, researching new security technologies, designing algorithms, and delivering solutions at scale. Responsibilities also involve software development, testing, peer code reviews, and supporting customers.
The role includes end-to-end responsibility for new detection capabilities, from researching new Linux/Containers related security technologies to designing detection strategies and algorithms. You will work on low-level Kernel hooks and complicated detection engines to enhance the security of Linux and cloud workloads platforms.
