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Marketing Technology Engineer

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Remote from
USA
Salary
USD 130k–160k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
1 Nov 2026
Listing views
49
Application actions
1
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AI Summary

The role, at a glance.

This role owns the marketing technology stack, with particular responsibility for Salesforce Marketing Cloud operations, email deliverability, segmentation, automations, and data hygiene. It also delivers marketing-site and CMS changes using Payload and code, enabling faster campaign execution and self-service content workflows. The engineer will apply AI to automate marketing operations and evaluate in-house alternatives to components of the stack, beginning with email. Success requires a blend of marketing systems expertise, practical HTML/CSS, JavaScript/TypeScript and SQL skills, operational rigor, and strong communication across marketing and engineering teams.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position combines production marketing-platform ownership with hands-on development, AI-enabled automation, and strategic build-versus-buy evaluation. It carries meaningful operational risk because email systems serve a large audience and require disciplined QA, privacy, security, and deliverability practices.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$145,000
US market range$120k–$170k
AI insightThe disclosed annual salary range is USD 130,000–160,000, with a midpoint of USD 145,000. This is competitive for a mid-level to senior marketing technology engineer in the US; an estimated US market range for comparable roles is USD 120,000–170,000 annually, varying by technical depth, marketing-platform ownership, and location.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you protect deliverability and quality when operating large-scale email campaigns?

I would establish pre-send QA checklists covering audience logic, suppression rules, personalization, links, rendering, consent, and tracking. I would monitor sender reputation, bounce and complaint rates, inbox placement, and engagement trends, while using staged sends or holdouts for higher-risk changes.

Describe an AI-enabled automation you would build for a marketing operations team.

I would start with a repeatable, measurable workflow such as campaign QA. For example, an AI-assisted tool could compare a brief, audience criteria, UTM conventions, and email content against approved standards, flagging missing fields or risky changes for human review rather than sending autonomously.

How would you approach a build-versus-buy evaluation for an email platform capability?

I would document functional requirements, data volumes, integration needs, reliability expectations, compliance obligations, deliverability dependencies, staffing needs, and total operating cost. I would then prototype the highest-risk assumptions and compare the long-term operational burden and risk, not only licensing cost.

How do you collaborate effectively with both marketers and software engineers?

I translate campaign goals into clear technical requirements, explain constraints in practical terms, and document decisions, ownership, and acceptance criteria. I also use shared practices such as version control, pull requests, testing, and release checklists so routine marketing changes can move quickly without bypassing engineering standards.

What would you do if a critical issue were discovered shortly before a major send?

I would prioritize recipient safety and sender reputation over launch timing, pause the send if necessary, assess the scope, and communicate a concise status and decision path to stakeholders. After resolution, I would document the root cause and add preventive controls such as tests, approvals, or monitoring to avoid recurrence.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

JOB SUMMARY

As a Marketing Technology Engineer, you will own Hello Alice’s marketing technology stack. Embedded on the marketing team, you keep our email systems running reliably, ship website and CMS changes without waiting on an engineering queue, and apply AI across the stack to do work that historically required a dedicated engineer.

This role reflects how Hello Alice builds: technical and AI capability embedded in operating teams, not isolated in a specialist function. You are a marketer’s engineer and an engineer’s marketer. You understand marketing systems, are comfortable in code, and treat AI as a daily working tool.

You will also help lead our evaluation of in-house alternatives to parts of the stack, beginning with email. Reporting into marketing, you work closely with engineering on shared standards and integrations.

KEY RESPONSIBILITIES

Marketing Systems Operations

  • Email Platform Ownership: Own email operations in Salesforce Marketing Cloud: sends, journeys, automations, segmentation, data hygiene, and deliverability. Maintain the QA discipline required for systems that reach nearly 1.5 million business owners.
  • Stack Administration & Integration: Administer the stack end-to-end, including integrations among the ESP, CMS, analytics, and the core platform. Keep data flows trustworthy and hold marketing systems to the same security, privacy, and accessibility standards as the rest of the platform.

Website & Campaign Delivery

  • Marketing Website Development: Ship website changes with marketing associates, working directly in our headless CMS (Payload) and in code, so routine changes land in days, not sprints. Manage content models and the editorial experience so associates can self-serve routine content work.
  • Campaign Enablement: Build the segments, dynamic content, forms, and measurement that campaigns depend on. Turn recurring requests into reusable, self-service capabilities.

Applied AI & Platform Evolution

  • AI-Powered Marketing Operations: Apply AI across the stack to automate operations, generate and review code, and find leverage the team has not thought of yet. Prioritize by measurable gains in quality, capacity, speed, or cost, within Hello Alice’s AI standards and governance.
  • Build-vs-Buy Evaluation: Evaluate and prototype in-house alternatives to parts of the stack, starting with email. Ensure build-vs-buy decisions honestly account for deliverability, compliance, and operational burden alongside cost.

REQUIRED EXPERIENCE & CAPABILITIES

  • Marketing Systems Fluency: Typically 3 to 5 years of hands-on work with production marketing systems, such as an ESP, a CMS, or the data flows between them. You may be an engineer who has built for marketing teams or a marketing operator expanding into code; both paths work. Salesforce Marketing Cloud experience is a plus, not a prerequisite.
  • Technical Range: Working comfort in code: HTML/CSS, plus enough JavaScript/TypeScript and SQL to build and debug with AI assistance rather than hand work off. An understanding of headless CMS architecture and experience making production website changes.
  • Demonstrated AI Fluency: Current, practical use of AI in real work. We will ask you to show something you have automated or built.
  • Operational Judgment: The discipline to run systems others depend on: QA habits, deliverability awareness, and knowing what not to touch on send day.
  • Cross-Functional Communication: Ability to translate between marketing intent and technical implementation, working effectively with associates and engineers alike.

PREFERRED QUALIFICATIONS

  • Hands-on experience with Payload or a comparable headless CMS (Contentful, Sanity, Strapi).
  • Experience with email infrastructure beyond the ESP layer, including migrations or build-vs-buy assessments.
  • Experience working in a shared codebase with an engineering team, including version control and code review.
  • Familiarity with CRM, customer lifecycle, and digital acquisition systems.
  • Experience building accessible digital products, particularly for economically or historically underserved communities.
  • Experience in a mission-driven, venture-backed, or resource-constrained growth-stage company.

COMPENSATION

The salary range for this role is $130,000 to $160,000, plus benefits and stock options. Placement within the range reflects experience and demonstrated capability.

About Hello Alice:

Hello Alice is a free, multichannel platform that helps businesses launch and grow. With a community of 1.5 million business owners in all 50 states and across the globe, Hello Alice is building the largest network of owners in the country while tracking data and trends to increase the success rate for entrepreneurs. Our partners include enterprise business services, government agencies, and institutions looking to serve small- and medium-business owners to ensure increased revenues and promote scale. A Latina owned company, founded by Carolyn Rodz and Elizabeth Gore, we believe in business for all by providing access to all owners including women, people of color, veterans, and everyone with an entrepreneurial spirit. To learn more, visit helloalice.com, as well as Twitter, LinkedIn, Instagram, and Facebook.

Hello Alice is a fully remote team, so all United States locations are considered.

Hello Alice is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

www.helloalice.com // Twitter // Facebook // Instagram // LinkedIn

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