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Build and maintain scalable security observability, detection, and response systems. Develop AI- and ML-based detections, normalize large-scale security logs, automate incident workflows, respond to alerts and threats, conduct investigations and threat hunts, and participate in detection and response on-call rotations.

Lead Klaviyo’s North American Enterprise Customer Success organization, managing 5–7 managers and approximately 40–50 CSMs. Own post-onboarding customer experience, retention, and cross-sell performance; establish goals, metrics, processes, and scalable account strategies. Partner with Sales, Product, Marketing, Finance, and Onboarding, resolve escalations, and develop leaders. Use customer data, predictive AI, and tools such as Claude, Gleen, and ChatGPT to improve workflows and renewal and expansion outcomes.

Build, train, deploy, and maintain large-scale machine learning models and AI agents for marketing and customer experiences. Develop conversational AI, generative AI, recommendation, retrieval, ranking, and transformer-based systems. Own ML product lifecycles, including success metrics, A/B testing, production operations, and iterative improvement. Collaborate with Engineering, Product, Design, customers, and stakeholders while leading technical projects and mentoring teammates.

Lead the design and build of AI-first People systems, integrating LLMs and enterprise HR SaaS to automate recruiting, onboarding, performance, and other People workflows. Define architecture, standards, responsible-AI practices, and success metrics while partnering cross-functionally to enable copilots, agents, and reusable automation frameworks for People teams.

Lead architecture, design, and delivery of Klaviyo's Customer Agent conversational AI platform. Drive technical strategy, build scalable AI-enabled features, establish observability and reliability practices, mentor engineers, and coordinate cross-functional initiatives to deliver production agentic systems for millions of users.

Lead architecture, design, and implementation of a scalable conversational AI platform (Customer Agent). Drive technical strategy for LLM-powered agentic systems, retrieval, orchestration, memory, evaluation, and reliability. Ship AI product features, establish observability/testing/operational best practices, lead cross-functional initiatives, mentor engineers, and evaluate emerging AI technologies to deliver reliable customer-facing experiences.

As a Manager of People Technology at Klaviyo, you will oversee Workday modules, enhance user experience, improve systems through AI, and lead projects. Responsibilities include collaborating with stakeholders, managing compliance, coaching team members, and driving system optimizations.

Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.

Own full sales cycle for Mid-Enterprise accounts: prospect, discovery, demo, negotiation, and close. Build territory and account strategies, partner cross-functionally (Solutions, Customer Success, Product, Engineering), mentor AE peers, share market insights to influence roadmap, and experiment with AI tools to improve workflows and outcomes.

As a Senior Security Engineer at Klaviyo, you'll build secure detection systems, automate response operations, and enhance security observability, driving incident response and threat detection efforts.