Design, develop, and optimize database solutions using Microsoft SQL Server and Azure SQL Database. Collaborate with stakeholders to ensure the availability, integrity, and performance of large-scale business-critical datasets.
You will operationalize governance standards across the entire Machine Learning lifecycle, ensuring AI models follow appropriate controls from development to retirement. You will also partner with cross-functional teams to translate governance requirements into practical procedures and audit-ready documentation.
Lead the end-to-end architecture and design of complex, enterprise-scale Data, Analytics, Machine Learning, and AI solutions. Partner with cross-functional teams to ensure solutions are scalable, secure, governed, and aligned with enterprise standards.
Manage customer orders throughout the fulfillment process and coordinate daily with 3PL partners to resolve operational issues. Monitor fulfillment KPIs and collaborate with internal teams to ensure a seamless customer delivery experience.
You will build and extend features for a high-traffic Ruby on Rails 8 application, including managing models, controllers, and background jobs. Additionally, you will develop interactive front-end experiences and strengthen integrations with third-party ticketing, event-management, and CRM platforms.
Develop, enhance, and support predictive and prescriptive models to solve complex business problems while ensuring data quality and integrity. Collaborate with business and technology stakeholders to translate analytical findings into actionable recommendations and integrate models into production environments.
The Junior Client Success Analyst will manage customer campaigns, monitor performance metrics, and provide actionable insights to optimize results. They will also handle account onboarding, troubleshoot technical issues, and maintain clear communication with clients to ensure retention.
You will build and maintain scalable backend services and responsive frontend applications while working with complex, data-intensive systems. The role involves collaborating with engineering stakeholders to transform backend logic and AI-enabled capabilities into reliable user-facing products.
Provide hands-on technical leadership and architectural guidance for complex application engineering and platform integration initiatives. Collaborate with engineering teams to establish code quality standards, integrate AI-enabled features, and ensure scalable deployment of containerized services.
Architect, build, and optimize automated customer lifecycle flows directly within the Klaviyo platform. Collaborate with cross-functional teams to translate business requirements into personalized, multi-path customer journeys that drive retention and revenue.
