Jobs at Movable Ink

Hands-on technical leader for backend/platform systems: design and operate distributed, reliable services, build third-party integrations, mentor engineers, drive architecture and operational excellence (monitoring, tracing, alerts), and partner with product and other teams to deliver scalable, production-grade features.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

Design and implement distributed software systems to handle data at scale. Perform code reviews and collaborate with teams. Monitor and manage business-critical services.

The role involves designing and maintaining scalable backend systems, building data pipelines, creating an intuitive reporting UI, and mentoring junior engineers in a collaborative environment.

Lead and maintain Movable Ink's Salesforce environment: daily admin, security and data management, declarative automation (Flows), requirements gathering, backlog grooming, UAT coordination, and documentation to support GTM teams and platform releases.

Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.

Design, build, and operate a unified data platform: ingesting, processing, and exposing large volumes of data. Develop scalable ingestion pipelines, storage layers, observability, SLIs/SLOs, multi-tenant models, and metadata/ governance to enable secure cross-product data access and migrations from legacy systems.

Hands-on Senior Site Reliability Engineer responsible for improving infrastructure tooling and automation, building and supporting core applications, monitoring capacity and performance, troubleshooting incidents, participating in on-call rotations, and collaborating across teams to scale a multi-cloud, multi-region content serving platform and advance observability and SLO frameworks.

Deliver and maintain scalable, reliable full-stack solutions across front-end WYSIWYG designer experiences and back-end rendering systems. Write well-tested, reusable code, refactor to reduce technical debt, build tooling and processes, conduct empathetic code reviews, collaborate with stakeholders, mentor teammates, and drive projects from design through rollout.

Lead productionization of deep learning models and scale ML systems for marketing personalization. Build, optimize, monitor, and deploy reliable, high-performance AI products; integrate research into product, mentor engineers, and drive adoption and evaluation (A/B testing, monitoring, orchestration).

Design, implement, and maintain scalable backend systems for campaign creation, targeting, content assembly, scheduling, and handoff to delivery. Ensure reliability, observability, and operational excellence; own features end-to-end, mentor junior engineers, and drive extensible, fault-tolerant distributed architectures.

Lead a team of senior product managers owning data ingestion, normalization, event processing, workflows, third-party integrations, and data governance. Define unified roadmap, partner closely with engineering, manage vendor relationships, launch integrations, and represent platform needs to Sales, Partnerships, and Customer Experience while prioritizing customer outcomes.

Lead the evolution of the recommendations engine system into a scalable distributed architecture, ensuring production stability and performance while mentoring engineers and collaborating with ML teams.

Own, build, and optimize Spark-based production data pipelines and ML data lake on GCP Dataproc to support recommender systems. Collaborate with ML engineers, resolve performance bottlenecks, and deliver scalable, reliable data products for AI-driven personalization.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

The Product Security Engineer will implement security testing, manage vulnerabilities in codebases, and integrate security practices into CI/CD pipelines while collaborating with engineering teams.