Marketing Technology Engineer

United StatesRemoteFull-timemid

OtherTechnology

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Quick Summary

Requirements Summary

Typically 3–5 years of hands-on experience working with production marketing systems, such as email service providers, CMS platforms, or the data flows connecting them.

Technical Tools

OtherTechnology

This is a fully remote opportunity to own and evolve a production marketing technology stack at the intersection of marketing, engineering, and AI. You will keep email operations reliable, deliver website and CMS changes, and build the technical capabilities marketing teams need to move quickly. The role combines hands-on systems administration, coding, campaign enablement, and applied AI automation. You will work closely with marketing associates and engineering teams to improve integrations, data flows, security, privacy, accessibility, and operational quality. You will also evaluate and prototype in-house alternatives to parts of the existing technology stack, beginning with email infrastructure. This role is ideal for someone who can move comfortably between marketing objectives and technical implementation while using AI as a practical tool for increasing speed, quality, and efficiency.

Own day-to-day marketing technology operations, including email platform management, campaigns, journeys, automations, segmentation, data hygiene, quality assurance, and deliverability.
Administer integrations across email service providers, CMS platforms, analytics tools, and core business systems while maintaining reliable and trustworthy data flows.
Ensure marketing technology systems meet appropriate security, privacy, accessibility, and operational standards.
Build and deploy marketing website updates directly in a headless CMS and through code, enabling routine changes to be delivered quickly without relying entirely on an engineering backlog.
Manage content models and editorial experiences so marketing teams can independently handle recurring content needs.
Build reusable campaign capabilities including audience segments, dynamic content, forms, tracking, measurement, and other marketing enablement tools.
Apply AI across marketing operations to automate repetitive work, generate and review code, identify operational improvements, and increase quality, capacity, speed, or cost efficiency.
Evaluate and prototype potential in-house alternatives to existing marketing technology, beginning with email, while considering deliverability, compliance, operational complexity, and total cost.
Partner with engineering teams on shared technical standards, integrations, code quality, version control, and platform evolution.
Translate marketing requirements into effective technical solutions and communicate technical considerations clearly to non-technical stakeholders.

Requirements

~2 min read

Typically 3–5 years of hands-on experience working with production marketing systems, such as email service providers, CMS platforms, or the data flows connecting them.
Experience working with Salesforce Marketing Cloud is a plus, but not required.
Comfortable working with HTML and CSS, with sufficient JavaScript or TypeScript and SQL knowledge to build, troubleshoot, and iterate with AI assistance.
Understanding of headless CMS architecture and experience making production website changes.
Demonstrated practical AI fluency, including the ability to show examples of workflows, automations, or solutions you have built or improved using AI.
Strong operational judgment and disciplined QA practices, particularly when managing systems and communications that have significant customer reach.
Understanding of email deliverability and the operational considerations involved in production email management.
Strong ability to translate between marketing objectives and technical implementation while collaborating effectively with marketing and engineering stakeholders.
Experience with Payload or another headless CMS such as Contentful, Sanity, or Strapi is preferred.
Experience with email infrastructure beyond the ESP layer, including migrations or build-vs-buy evaluations, is preferred.
Experience working in shared codebases with version control and code review is preferred.
Familiarity with CRM, customer lifecycle, and digital acquisition systems is a plus.
Experience building accessible digital products is a plus, particularly products serving economically or historically underserved communities.
Experience in mission-driven, venture-backed, or resource-constrained growth-stage environments is preferred.