Movable Ink specializes in scalable, omni-channel personalization for marketers, leveraging data activation and AI to enhance workflow and revenue for global brands.
New York, NY
Movable Ink helps marketers create more relevant customer experiences across email, mobile, and web through data activation, AI-powered decisioning, and personalization at scale. Leading brands around the world use Movable Ink to drive revenue, streamline workflows, and respond faster to customer needs. Headquartered in New York City, Movable Ink serves a global client base with teams across North America, Central America, Europe, Australia, and Japan. The company has been recognized by Inc. Magazine, Built In NYC, Deloitte, and Crain's for its growth, workplace culture, and innovation. One of the best things about working at Movable Ink is our amazing company culture! We are very proud to say we’ve been named one of Inc. Magazine’s Best Workplaces (2026-2019) and Built In’s “Best Places to Work” (2026-2019), plus many more award recognitions.
Remote · Toronto, Ontario, Canada
You will design and build scalable data ingestion pipelines and backend services to support the organization's unified data platform. Additionally, you will implement monitoring, observability, and data governance practices to ensure high availability and reliability across all data assets.
Remote · Toronto, Ontario, Canada
The Data Engineer will design, build, and maintain high-volume event streaming pipelines and analytical data models. They will also develop production services, ensure system observability, and enforce data quality standards across the platform.
On-site · Toronto
Lead the architectural evolution of the core recommendations pipeline into a modern, scalable distributed system. Design and operate fault-tolerant backend services while collaborating with ML engineers to translate requirements into production-ready designs.
On-site · Toronto
Build and optimize Spark-based data pipelines and infrastructure to power AI-driven personalization and ML models. Collaborate with ML engineers to maintain the ML Data Lake and resolve performance bottlenecks for large-scale data systems.
On-site · Toronto
Design and implement core backend systems for creating, scheduling, and delivering multi-channel marketing campaigns. Ensure system reliability and scalability while mentoring junior engineers and owning features from design to production support.
On-site · Toronto
You will design and implement core backend systems for campaign workflows, content assembly, and audience targeting. Additionally, you will ensure system reliability through observability and mentor junior engineers to maintain high code quality.
On-site · Toronto
Design, develop, and test high-performance distributed systems that operate at massive scale. Collaborate with cross-functional teams to build reliable services with shared ownership of on-call responsibilities.
On-site · Toronto
Lead the technical vision and architecture for critical backend platform capabilities while remaining hands-on with coding and implementation. Mentor engineers and collaborate with product teams to deliver scalable, reliable integration services.
On-site · Toronto
Design, build, and maintain scalable backend systems that power measurement, attribution, and reporting capabilities. Collaborate with stakeholders to transform raw event streams into actionable insights through an intuitive reporting UI.
On-site · Toronto
Design, build, and maintain event streaming pipelines and analytical databases to process massive volumes of client and internal event data. Collaborate with cross-functional teams to define data schemas, ensure system reliability, and implement observability tooling for production data services.