Top Tech Jobs & Startup Jobs

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.

Recruit, onboard, and activate agency, services, and technology partners across Asia to build partner-sourced pipeline. Drive joint GTM plans, co-sell execution, partner enablement, and regional partner recruitment engine. Collaborate with Sales, Partner Marketing, and regional teams to forecast, prioritize partners, and convert partner momentum into measurable revenue outcomes. Travel up to 10% as needed.

Lead full-cycle technical recruiting for engineering (backend, frontend, infrastructure, ML). Source passive candidates, screen and close offers, partner with hiring managers on role scoping and leveling, use data and AI tools to optimize pipelines, and represent Klaviyo at events and outreach channels to build diverse talent networks.

As a Lead Data Science Analyst, you will develop predictive models, perform statistical analyses, and implement AI-driven solutions to enhance the sales customer lifecycle and drive business insights.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

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.

Design, build, and operate Klaviyo’s large-scale asynchronous processing and queueing platforms. Develop resilient, low-latency, multi-tenant systems using Python, Go, AWS, Kubernetes, Apache Pulsar, Kafka, and SQS. Own system reliability, observability, scalability, incident response, and SLOs. Collaborate on technical designs, mentor engineers, improve platform tooling and processes, and participate in on-call rotations.

Build and operate foundational, security-critical platforms and cloud-native systems at scale. Automate infrastructure, reduce operational toil, define SLIs and SLOs, improve observability and incident response, perform capacity and performance analysis, and develop preventative reliability solutions. Participate in on-call rotations, post-incident reviews, technical design, and mentoring while collaborating with product, platform, and security engineering teams.