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.
On-site · Toronto
The Web Manager is responsible for the day-to-day execution and strategic health of the company's web properties. This includes building and optimizing pages in Webflow, managing marketing integrations, and collaborating with cross-functional teams on SEO and content initiatives.
Remote · Toronto, Ontario, Canada
The Incentive Compensation Manager will own the end-to-end administration, governance, and analysis of incentive compensation programs. They will partner with cross-functional teams to model plan changes, ensure accurate payouts, and drive continuous improvement of compensation systems.
On-site · Toronto
You will design and implement scalable backend services that detect behavioral patterns and translate them into automated marketing triggers. Additionally, you will collaborate with cross-functional teams to ensure system reliability and maintain high-performance event-driven architectures.
On-site · Toronto
Create and edit marketing content, maintain the content calendar, and coordinate projects and reviews with teams across the business. Support LinkedIn and Instagram, encourage employee advocacy, and track content and campaign performance to inform future work.
Remote · Toronto, Ontario, Canada
The Analytics Engineer will build and maintain dbt models and AI-ready datasets to support business intelligence and data-driven decision-making. They will also partner with stakeholders to define key metrics and create Tableau dashboards to visualize data insights.
Remote · Toronto, Ontario, Canada
Design, build, and maintain end-to-end multi-source ELT pipelines while optimizing for costs and data service level agreements. Collaborate with cross-functional teams to curate event data and deliver reliable data products that drive business decisions.
On-site · Toronto
The Implementation Manager acts as the primary project lead for launching new clients, ensuring successful platform adoption and campaign execution. They design custom technical solutions, manage project timelines, and collaborate with internal teams to drive measurable value for clients.
On-site · Toronto
The Deal Desk Analyst manages non-standard deals through the review process to ensure operational compliance and risk mitigation. They also serve as a trusted advisor to the sales team by providing guidance on deal structure, pricing, and process optimization.
On-site · Toronto
The Senior Salesforce Administrator serves as the primary functional lead for the Salesforce environment, bridging business needs with technical solutions. Responsibilities include managing platform support, user security, data maintenance, and leading requirements gathering to drive declarative improvements.
On-site · Toronto
You will design and build scalable data ingestion pipelines and backend services to support the unified data platform. Additionally, you will collaborate with cross-functional teams to implement monitoring, observability, and metadata management for data assets.
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
The Senior Full Stack Engineer will design, build, and maintain scalable full-stack solutions while collaborating with cross-functional teams. They are responsible for refactoring existing code, reducing technical debt, and mentoring team members through empathetic code reviews.
On-site · Toronto
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Remote · Toronto, Ontario, Canada
The role involves deploying commercial-grade AI products and integrating breakthrough innovations into the core AI model suite. You will also be responsible for engineering scalable ML systems and elevating the platform's standards for monitoring and automated testing.
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, 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 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.
