# AI Engineer, Marketing at Instructure

Instructure is hiring an AI Engineer, Marketing for a remote role open to applicants in United States. It pays $85k-$90k a year and Level rates it Uses AI ●●○○; you can [apply on Instructure](https://jobsbylevel.com/go/c5d1d06e-3182-4455-9251-008395ce107e?utm_medium=ai-agent).

AI Level 2, AI centrality 55 out of 100. Remote (US-REMOTE).

## Details

- Company: [Instructure](https://jobsbylevel.com/companies/instructure)
- AI level: AI Level 2 (score 55 out of 100)
- Location: Remote (US-REMOTE)
- Salary: $85k-$90k
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/c5d1d06e-3182-4455-9251-008395ce107e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-engineer-marketing-at-instructure-bba4ee

## Prepare for this job

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## Description

At Instructure , we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: Why This Role Exists Marketing's AI tools are already in production and delivering real results - localization time down 90%, meeting prep down 90%, case study builds down 70%. Demand for new tools now outpaces what one person can build. This role adds dedicated engineering capacity so the team can ship more, support what's live, and keep raising the bar on quality without becoming a bottleneck. Scope You'll build for all marketing functions - Brand, Content, Events, PMM, International, and SDR. If a marketing team has a workflow AI can improve, it's in scope. You'll partner closely with the Senior Manager on where to focus, then own your pieces of the build. Day to day, you'll work across the marketing tech stack (Salesforce, Asana, Marketo, CMS platforms) and the automation and LLM tooling that connects them. Key Responsibilities AI Tool Development (~50%) Build and maintain production AI tools for marketing teams - content generators, meeting and SDR prep systems, case study automation, and workflow integrations. Write, test, and iterate prompts across LLM-powered applications; version them and track what works. Build integrations between AI tools and the marketing tech stack (Salesforce, Asana, Marketo, CMS platforms) using APIs, webhooks, and automation platforms. Take tools from prototype to production with clear quality checks, and own them after launch - monitor outputs, tune prompts, fix drift, and ship improvements based on user feedback. Enablement & Documentation (~25%) Write clear, usable documentation and playbooks so teams can self-serve. Help train marketing teams on the tools you build - not just the clicks, but how to get good output and when AI isn't the right fit. Support the AI Incubator intake process: help evaluate submissions and move projects from sandbox toward production. Quality & Support (~25%) Keep production tools inside data and brand guardrails; flag anything that touches customer data or brand voice for review before it ships. Respond to user issues on live tools, triage what's breaking, and close the loop. Help track tool usage and impact so every tool has a defensible ROI story. Required Qualifications Proficiency with or ability to quickly ramp on our primary AI and marketing tech stack, including Claude, Gemini, Clay, and Glean. 2+ years in marketing technology, automation, software, or a comparable technical role or equivalent hands-on project experience. Hands-on experience with LLMs: writing and iterating prompts, evaluating output quality, and working within context limits. Comfort with technical integration: APIs, webhooks, automation platforms (Zapier/Make), and at least basic scripting (Python preferred). Strong written communication - this role produces documentation others rely on. Comfort with ambiguity and a bias toward shipping. This function is evolving, and you'll iterate constantly. Preferred Qualifications Experience in B2B SaaS marketing, ideally EdTech or enterprise software. Familiarity with marketing ops tooling: Salesforce, Marketo, Asana, Google Analytics, or comparable platforms. Experience building something real with AI that people actually used - a tool, a bot, an automation, even a side project counts. Exposure to CMS or web platforms (Drupal, content management, localization workflows). Experience with GitHub and Railway for version control and deployment Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can

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