Klaviyo is looking to build state-of-the-art AI and machine learning technologies to power their products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.
Requirements
- 7–10 years of professional software engineering experience, with a 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 — mentoring engineers, shaping architecture, and raising the bar for engineering practices.
Responsibilities
- 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 a 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.
- 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.
Other
- 7–10 years of professional software engineering experience
- Thrives in a fast-paced, startup-like environment with high autonomy and ownership.
- Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges.
- Base Pay Range For US Locations: $188,000—$282,000 USD
- Our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
