5 hours ago
Boston, MA, USAMid Level
H1B sponsor
Base Salary
$116k - $174k/yr
Responsibilities
- Contribute to the architecture, implementation, and operation of backend services powering product recommendations across multiple Klaviyo experiences.
- Build and maintain large-scale batch and streaming data pipelines that transform events and catalog data into features and model inputs.
- Collaborate with ML engineers and product stakeholders to productionize recommendation models for batch and real-time inference.
- Develop vector database capabilities for recommendation, semantic search, and agentic workflows.
- Implement observability through metrics, logging, tracing, dashboards, monitoring, and alerting.
- Support project planning, experimentation, A/B testing, metric definition, and interpretation of recommendation results.
- Participate in on-call and incident response and lead follow-up work to improve system resilience and operability.
- Use AI responsibly in development workflows, testing, monitoring, debugging, and team productivity.
- Mentor junior engineers, share knowledge, and define best practices for distributed systems, data frameworks, and production ML integration.
Requirements
- At least 2 years of professional software engineering experience focused on backend and distributed systems at scale.
- Proficiency in Python and willingness to work in other programming languages.
- Experience with production services, latency optimization, reliability, operability, and end-to-end feature ownership.
- Familiarity with AWS-preferred cloud-native architectures, Kubernetes, infrastructure management, and CI/CD pipelines.
- Experience with data-driven decision-making, experiment instrumentation, A/B testing, and interpreting results.
- Ability to design and query relational, analytical, and NoSQL data models, including systems such as Postgres, MySQL, data warehouses, Redis, and vector databases.
- Comfort with modern DevOps practices including monitoring and alerting.
- Strong technical collaboration and communication skills across engineering, ML, product, and other teams.
- Experience or interest in recommendation systems, ranking, personalization, search, or other ML-powered features is preferred.
- Experience with Apache Spark, Flink, Beam, Ray, distributed compute, ML infrastructure, model training, feature stores, offline/online parity, or model deployment and monitoring is preferred.
- Experience with e-commerce, marketing technology, or consumer personalization products is preferred.
- Demonstrated experimentation with AI in professional or personal projects and interest in responsible AI tools and workflows.
Benefits
- Onsite work in Boston, Massachusetts five days per week.
- May require up to 10% travel for onboarding, client or partner work, team meetings, and industry events, coordinated in advance.
- Comprehensive health, welfare, and wellbeing benefits based on eligibility.
- Potential participation in annual cash bonus, equity, and sign-on programs based on eligibility.
- Equal opportunity workplace with accommodations available as needed.
Tech Stack
Categories
About Klaviyo
Klaviyo builds a subscription SaaS platform that lets e-commerce and consumer brands use first-party data to run targeted email, SMS, and push campaigns, with built-in automation and analytics. The product also includes B2C CRM features for segmentation, A/B testing, and customer lifecycle workflows. Founded in 2012 and headquartered in Boston, it is a public company (NYSE: KVYO) used by brands such as Mattel and Glossier.