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AI Engineer, Marketing

AI Engineer Full-time Permanent United States

Job details

$85K – $90K $85K - $90K Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build and support production AI tools that help marketing teams automate content and operational workflows. The role spans development, integrations, user enablement, and ongoing quality support, taking promising ideas from prototype through launch and improvement.

Responsibilities - Develop and maintain tools such as content generators, meeting and sales development preparation systems, case study automation, and workflow integrations. - Write, evaluate, version, and refine prompts for applications powered by large language models. - Connect AI applications to marketing platforms using APIs, webhooks, and automation tools. - Move prototypes into production with quality checks, then monitor outputs, address drift, and improve tools based on user feedback. - Create documentation and playbooks, train marketing teams, and help assess proposed projects for production readiness. - Triage user issues, uphold data and brand safeguards, and track tool usage and impact.

Requirements - At least two years of experience in marketing technology, automation, software, or a comparable technical role, or equivalent hands-on project experience. - Practical experience writing prompts, assessing LLM output, and working within context limits. - Familiarity with APIs, webhooks, automation platforms such as Zapier or Make, and basic scripting; Python is preferred. - Ability to learn and work with AI and marketing tools, including Claude, Gemini, Clay, and Glean. - Strong writing skills for documentation, along with comfort working through ambiguity and shipping iterative improvements.

Nice to have - Experience in B2B SaaS marketing, especially education technology or enterprise software. - Familiarity with marketing operations platforms, CMS or localization workflows, and tools such as Salesforce, Marketo, Asana, or Google Analytics. - Experience with a deployed AI tool or automation, plus GitHub or Railway.

Benefits and work setup - Work arrangements vary by role, team, and location. The source lists an employee ownership program, flexible work culture, time off, wellness and mental health support, and professional development resources.

Skills detected in the listing

PythonGoLLM
Detected Oct 22, 2026
Last verified Oct 22, 2026

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