AI Engineer, Marketing

Instructure, Inc. • ,

19d • $85,000 - $90,000

About The Position

Instructure is hiring an AI Engineer to expand the engineering capacity supporting its marketing teams. Marketing AI tools are already in production and have delivered measurable efficiency improvements; this role will help build additional tools, support existing systems, and maintain quality as demand grows. The engineer will work across Brand, Content, Events, Product Marketing, International, and SDR functions, partnering with the Senior Manager to prioritize work and taking ownership of assigned builds.

The role works across the marketing technology stack—including Salesforce, Asana, Marketo, and CMS platforms—and the AI, automation, and LLM tools that connect those systems. Responsibilities span developing production AI tools and integrations, documenting and enabling their use, and supporting quality, guardrails, user issues, and impact tracking.

Requirements

• Proficiency with, or ability to quickly learn, Claude, Gemini, Clay, and Glean.
• At least 2 years of experience in marketing technology, automation, software, or a comparable technical role, or equivalent hands-on project experience.
• Hands-on LLM experience, including writing and iterating prompts, evaluating output quality, and working within context limits.
• Comfort with technical integrations, including APIs, webhooks, and automation platforms such as Zapier or Make.
• Basic scripting ability; Python is preferred.
• Strong written communication skills for producing documentation others rely on.
• Comfort with ambiguity and a bias toward shipping and iterating.

Nice To Haves

• Experience in B2B SaaS marketing, ideally in EdTech or enterprise software.
• Familiarity with marketing operations tools such as Salesforce, Marketo, Asana, or Google Analytics, or comparable platforms.
• Experience building a real AI tool, bot, or automation that people used; side projects count.
• Exposure to CMS or web platforms, Drupal, content management, or localization workflows.
• Experience with GitHub and Railway for version control and deployment.

Responsibilities

• Build and maintain production AI tools for marketing teams, including content generators, meeting and SDR preparation systems, case study automation, and workflow integrations.
• Write, test, and iterate prompts for LLM-powered applications; version prompts and track their performance.
• Build integrations between AI tools and marketing technology systems using APIs, webhooks, and automation platforms.
• Take tools from prototype to production with quality checks, and own them after launch by monitoring outputs, tuning prompts, addressing drift, and shipping improvements based on user feedback.
• Write clear documentation and playbooks that enable teams to self-serve.
• Train marketing teams on the tools, including how to get useful outputs and when AI is not an appropriate fit.
• Support the AI Incubator intake process by helping evaluate submissions and move projects from sandbox toward production.
• Keep production tools within data and brand guardrails; flag tools involving customer data or brand voice for review before release.
• Respond to issues with live tools, triage problems, and follow through to resolution.
• Help track tool usage and impact to establish a defensible ROI story for each tool.

Benefits

• Competitive compensation.
• Ownership program participation for all full-time employees.
• Flexible work culture, with remote, hybrid, and in-office collaboration spaces varying by role, team, and location.
• Generous time off, including local holidays and an annual late-December “Dim the Lights” period, based on departmental needs.
• Wellness programs and mental health support.
• Learning and development resources, including professional development tools and tuition reimbursement.
• Technology and tools needed to do the work.
• Motivosity employee recognition program.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed