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The Senior Product Designer at Klaviyo will create visual experiences and design systems, collaborating with cross-functional teams to enhance user experience and maintain design standards.

The Commercial AE is responsible for managing the full sales cycle, building pipelines, developing account strategies, and collaborating cross-functionally to drive sales performance and customer success.

Lead delivery of Klaviyo's employee-facing AI and automation platform. Manage project lifecycle, build scalable automation and integrations (HRIS, ticketing, messaging, knowledge), partner with Engineering, IT, Security, and Business stakeholders, drive AI adoption and governance, evaluate vendors, and define long-term project roadmap and success metrics for employee productivity and measurable business impact.

Design and build AI-powered prototypes and end-to-end workflows using LLMs to solve creative and operational problems. Partner with Services leaders to prioritize opportunities, translate ideas into roadmaps, enable adoption through documentation and training, and collaborate with engineering to productionize solutions.

Lead design and build of scalable full‑stack AI enablement platforms and tools to accelerate engineering workflows. Champion experimentation, automation (code generation, testing, deployment), best practices, and cross‑team collaboration while mentoring engineers and delivering production‑ready solutions.

The Lead Product Designer will set design direction, collaborate with cross-functional teams, drive user experiences, and mentor team members for impactful design solutions.

Design and run AI-first onboarding, enablement, and learning programs for Klaviyo engineering. Partner with Dev Infra, L&D, Recruiting, and Eng Leadership to operationalize AI in workflows, codify engineering practices, run experiments, measure impact, and scale training to improve developer velocity, quality, and satisfaction.

Lead the vision, roadmap, and execution for Klaviyo's Data Ingestion Platform. Define ingestion strategy for high-volume sources, partner with engineering and SRE to modernize pipelines, improve observability and reliability, institutionalize AI/automation, set success metrics, and drive architectural simplification and cross-org alignment to scale data ingestion and improve pipeline health.

This role involves owning the strategy for Platform Integrity & Protection, managing account security and organization models, and ensuring cross-functional alignment to support enterprise needs.

Lead product strategy and roadmaps for Klaviyo's predictive and generative ML models and the ML platform (training, serving, feature pipelines, MLflow, Prefect). Define model quality metrics, evaluation and monitoring frameworks, connect platform investments to business outcomes, and reduce ML developer friction to accelerate safe model deployment at scale.