Lead AI Engineer

Set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. Work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. Backend-heavy leadership role with strong focus on applied AI/ML, including large language models (LLMs) and agentic AI systems.

• 7–10 years of professional software engineering experience with strong focus on backend systems and distributed architectures • Recent hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment • Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities • Proficient in Python and modern backend frameworks (FastAPI, Django preferred) • Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis) • Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines) • Demonstrated technical leadership including mentoring engineers, shaping architecture, and raising engineering practice standards • Thrive in fast-paced, startup-like environment with high autonomy and ownership • Curious, adaptable, and motivated to stay on cutting edge of AI/ML research and apply it to real-world business challenges

• Experience training and deploying reinforcement learning systems • Prior experience leading cross-functional initiatives involving data science, ML engineering, and product

• Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers • Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale • Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences • Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases • Mentor and guide engineers, fostering culture of technical excellence, ownership, and customer-centric product thinking • Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions

• Participation in company's annual cash bonus plan • Variable compensation (OTE) for sales and customer success roles • Equity • Sign-on payments • Comprehensive range of health, welfare, and wellbeing benefits based on eligibility

Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable. The platform serves as interface between businesses and consumers with over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and conversion data. Building state-of-the-art AI and machine learning technologies to power products and develop AI agents that automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.