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Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Lead end-to-end global onboarding (Base Camp) operations: build curriculum and infrastructure, apply instructional design and AI to content and operations, partner with stakeholders to ensure scalable, consistent new-hire and executive onboarding, track program health with data, and continuously improve the experience.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

The role involves managing and improving data quality pipelines for GTM systems, optimizing AI workflows, and overseeing offshore teams to ensure accurate data detection and resolution.

The Lead GTM Data Operations Analyst will operate and extend AI-driven data quality pipelines, optimize agent outputs, and monitor offshore resolution teams, ultimately improving data accuracy and management in a dynamic, evolving environment.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

Build and scale Klaviyo's AI-native Customer Agent platform across frontend and backend. Design conversational experiences, retrieval and orchestration systems, integrations, observability, and deployment. Drive architecture, mentor engineers, ensure reliability, and ship high-quality, scalable AI-driven customer engagement features.

Lead Klaviyo's infrastructure security architecture and programs: IAM, secrets management, network segmentation, vulnerability management, and security tooling. Build IaC guardrails, define security SLOs and compliance posture, run threat modeling and design reviews, embed controls into CI/CD and observability, and deliver code/automation while mentoring senior engineers. Drive AI-enabled security automation and audit readiness for SOC 2/ISO 27001.

The Lead People Systems Engineer will design AI-first People workflows, build scalable AI systems, and ensure responsible AI practices in HR operations.

Lead global enablement strategy and execution for the BDR organization, owning onboarding, skill development, promotion programs, content, coaching, metrics, and cross-functional alignment to drive BDR performance and advancement to AE roles.