Instructure · Posted 1d ago
AI Engineer (Marketing)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- Google Analytics
- LLM
- Python
The posting
Join our team as an AI Engineer focused on marketing. You'll work across various marketing functions, building and maintaining AI tools that improve workflows. Your day-to-day tasks will involve working with the marketing tech stack, developing AI tools, enabling and documenting their use, and providing quality support. You'll have the opportunity to make a significant impact on our marketing efforts and be part of a passionate community dedicated to education.
- Construire et maintenir des outils d'IA de production pour les équipes marketing, tels que des générateurs de contenu, des systèmes de préparation aux réunions et aux SDR, et des intégrations de flux de travail. - Écrire, tester et itérer des invites pour les applications alimentées par LLM ; les versionner et suivre ce qui fonctionne. - Rédiger une documentation claire et utilisable et des manuels afin que les équipes puissent s'auto-assister.
- Comfort with ambiguity and a bias toward shipping. This function is evolving, and you'll iterate constantly - 2+ years in marketing technology, automation, software, or a comparable technical role or equivalent hands-on project experience - Comfort with technical integration: APIs, webhooks, automation platforms (Zapier/Make), and at least basic scripting (Python preferred) - Proficiency with or ability to quickly ramp on our primary AI and marketing tech stack, including Claude, Gemini, Clay, and Glean - Hands-on experience with LLMs: writing and iterating prompts, evaluating output quality, and working within context limits - Strong written communication - this role produces documentation others rely on - Experience in B2B SaaS marketing, ideally EdTech or enterprise software - Familiarity with marketing ops tooling: Salesforce, Marketo, Asana, Google Analytics, or comparable platforms - Exposure to CMS or web platforms (Drupal, content management, localization workflows) - Experience building something real with AI that people actually used - a tool, a bot, an automation, even a side project counts - Experience with GitHub and Railway for version control and deployment