You will embed within functional departments to scope, design, and build custom full-stack applications using modern AI tools and internal APIs. This role involves managing the end-to-end delivery of solutions, from discovery and architecture to deployment and stakeholder training.
Embed with functional departments to discover workflows and build custom full-stack applications using modern AI tools. Own the end-to-end delivery of these applications, including architecture, testing, deployment, and stakeholder training.
Serve as the technical lead on breach response investigations, directing analytical focus and partnering with engagement managers to align work with client expectations. Manage evidence handling, documentation quality, and the delivery of investigative reports while mentoring analysts on technical methodology.
Design, build, and operate secure, scalable cloud infrastructure and Kubernetes-based runtime environments for the Enterprise AI Platform. Manage core platform components including Kong Gateway, CI/CD workflows, and observability tools to ensure high reliability and security.
The role involves supporting customer engagements by reviewing and triaging findings from an agentic code scanning pipeline across C, C++, Rust, and Java codebases. You will act as a trusted advisor to customers, providing expert remediation guidance and presenting technical findings to executive stakeholders.
You will design and develop advanced security features for the Windows endpoint protection platform, working across both user-mode and kernel-mode environments. Your role involves solving complex performance and stability challenges while collaborating with distributed teams to protect millions of devices.
The Senior Solutions Engineer will partner with sales to drive technical engagements, including product demonstrations and architectural reviews for enterprise and government clients. They will act as a subject-matter expert to guide customers toward AI-powered security outcomes while mentoring junior team members.
You will partner with the sales organization to lead high-impact technical engagements, including product demonstrations and architectural reviews for enterprise and government clients. Additionally, you will serve as a senior subject-matter expert to guide security strategy and mentor junior team members.
The Engagement Manager oversees the full lifecycle of DFIR investigations, including scoping, staffing, and budget management. They serve as the primary point of contact for stakeholders while ensuring high-quality delivery and technical alignment.
The Senior Commercial Sales Representative will own the full sales cycle from prospecting to closing, targeting accounts across Germany. They will build a high-performing pipeline through outbound strategies and channel partnerships while acting as a trusted advisor to customers.
Manage the full sales cycle from prospecting to closing, targeting commercial accounts across Germany. Build and maintain a high-performing pipeline while collaborating with channel partners and internal stakeholders to drive growth.
Own and evolve the architecture of the self-hosted endpoint protection platform, ensuring high availability and scalability across customer-controlled environments. Lead cross-team design initiatives, mentor senior engineers, and influence the engineering roadmap for the product line.
Develop and execute the national channel partner strategy to drive strategic value and partner contribution across the Americas. Lead the national partners team while collaborating with sales, marketing, and technical teams to build an integrated ecosystem that delivers measurable business outcomes.
The Engagement Manager oversees the full lifecycle of telemetry-based compromise assessment engagements, serving as the primary point of contact for customers and internal stakeholders. They are responsible for scoping, staffing threat hunters, managing project budgets, and ensuring the quality of technical deliverables.
Manage the full-cycle recruiting process for go-to-market teams in the Americas, including sourcing, evaluating, and closing top talent. Partner with sales leadership to develop hiring strategies and improve recruitment processes through data-driven initiatives.
You will lead the technical reliability of government environments while coordinating compliant and efficient software deployments. This role involves managing incident response, optimizing observability, and ensuring all infrastructure meets strict FedRAMP and government regulatory standards.
The AVP will act as a strategic connector across delivery functions, managing integrated roadmaps and cross-functional dependencies. They will also lead the enterprise AI governance program and facilitate executive communication between the CTO and the CEO.
Manage the full-cycle recruiting process for technical roles including sourcing, engaging, and evaluating top-tier candidates. Partner with executives and stakeholders to develop hiring strategies and improve the overall candidate interview experience.
Lead customer-facing code security engagements by scoping work, delivering technical findings, and presenting results to stakeholders. Conduct manual code reviews, triage findings from agentic scanning pipelines, and provide expert remediation guidance to development teams.
Lead customer-facing code security engagements by pairing frontier AI models with expert human review across multiple programming languages. Author SAST rule packs, provide remediation guidance, and refine service line methodologies to scale the Wayfinder Frontier AI Services.
The RVP will lead a regional team to execute go-to-market strategies and consistently meet or exceed quarterly and annual revenue targets. They are responsible for developing account plans, managing sales pipelines, and fostering key customer and partner relationships.
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.
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.
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.
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.
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 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.
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 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 lead technical engagements, mentor other engineers, and contribute upstream improvements to the platform.
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.
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. 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 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. This involves significant feature design, rewriting existing components, and tackling extraordinary performance and optimization 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.
