Jobs at Movable Ink

Lead the architecture and hands-on development of a scalable, event-driven orchestration platform for real-time AI messaging decisions. Build and operate fault-tolerant distributed systems, own components through deployment and incident response, drive design reviews and technical decisions, collaborate across product, machine learning, and data teams, and mentor engineers while ensuring operational excellence.

Design, build, and operate scalable backend services and third-party integrations supporting email, mobile, and push messaging. Responsibilities include architecture, coding, code review, debugging, production support, reliability engineering, monitoring, incident response, and technical leadership. The role partners with product, engineering, and external vendors to manage integrations, rate limits, retries, partial failures, and evolving platform requirements.

Lead the architectural evolution of a large-scale recommendations platform into a distributed architecture. Design, build, operate, and optimize fault-tolerant backend services supporting AI-driven personalization. Collaborate with machine learning engineers and product stakeholders, own systems through deployment and incident response, champion engineering practices, and mentor team members.

Lead and grow a founding engineering team building an AI orchestration platform for real-time, high-volume messaging decisions. Define architecture, guide distributed systems development, drive initiatives from prototype to production, and partner with product, machine learning, data platform, and engineering teams. Ensure reliability through observability, incident response, testing, CI/CD, and on-call practices while remaining hands-on with system design and implementation.

Build and own scalable backend systems for campaign creation, content assembly, audience targeting, scheduling, and delivery across multiple channels. Design fault-tolerant distributed services, ensure reliability through observability and alerting, and deliver features from architecture through production support. Collaborate cross-functionally, mentor junior engineers, and promote testing, code quality, and engineering best practices.

Leads and transforms the procurement function through technology sourcing, vendor lifecycle optimization, system consolidation, budgeting, forecasting, contract negotiations, and procurement tool adoption. Partners with Finance, Legal, IT, InfoSec, and senior leadership to manage risk, optimize agreements, drive cost savings, improve governance, and support organizational change. Oversees vendor onboarding, renewals, change orders, stakeholder escalations, training, and daily procurement operations.

Build and operate scalable backend services that detect customer behavioral patterns, correlate event signals, maintain stateful evaluation windows, and determine marketing trigger eligibility. Responsibilities include designing distributed event-driven systems, delivering features from design through production support, creating reusable rule-based frameworks, integrating with campaign and messaging platforms, and maintaining reliability through observability, monitoring, alerting, and incident response.

Creates and edits marketing content across blogs, guides, webinars, social media, and lead-generation channels. Maintains content calendars, coordinates campaigns and reviews, supports LinkedIn and Instagram, and tracks content performance to identify optimization opportunities. Collaborates with Marketing, Product, Sales, and subject-matter experts to develop and distribute engaging content.

Design, build, deploy, and maintain scalable multi-source ELT pipelines and enterprise data warehouse infrastructure. The role involves optimizing data systems for cost, performance, reliability, and SLAs; curating campaign and business data; creating monitoring and automation; and collaborating with engineering, analytics, SRE, and platform teams to deliver reliable data products.

Owns end-to-end client implementations for Movable Ink’s personalization platforms. Manages launch projects, develops implementation plans, configures and QA-tests campaigns, designs technical solutions, trains clients, troubleshoots issues, and coordinates with developers, engineers, architects, product teams, and stakeholders to achieve client goals and KPIs.

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.

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.

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.

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).

The Deal Desk Analyst manages complex deals, collaborates across teams, maintains Salesforce data, and advises sales on deal structures and pricing.