AI Engineer

Instructure

. Build and maintain production AI tools for marketing teams, including content generators, meeting and SDR preparation systems, case study automation, and workflow integrations .

Posted 10/22/2026full-timeRemote • United StatesJuniorMid-Level💰 $85,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining AI tools for marketing, with a strong focus on prompt engineering, integration with various platforms, and user training. Proficient in evaluating tool performance and ensuring quality through data management and user feedback.

Highest-signal resume keywords

AI Tool DevelopmentPrompt EngineeringAPI IntegrationMarketing Technology ExperienceB2B SaaS Marketing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt WritingLLM ExperiencePython ScriptingVersion ControlAutomation PlatformsData ManagementQuality AssuranceTool EvaluationContent ManagementWorkflow Integration

Soft Skills

Strong Written CommunicationComfort With AmbiguityBias Toward Shipping

Tools & Technologies

SalesforceMarketoAsanaGoogle AnalyticsZapierMakeGitHubRailwayCMS PlatformsWebhooks

Industry Keywords

B2B SaaSEdTechEnterprise SoftwareMarketing AutomationData Privacy Laws

Tech Stack

Tools & technologies

DrupalPython

About the role

Key responsibilities & impact

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, iterate, version, and evaluate prompts across LLM-powered applications
Build integrations between AI tools and Salesforce, Asana, Marketo, CMS platforms, APIs, webhooks, and automation platforms
Move tools from prototype to production with quality checks
Monitor outputs, tune prompts, fix drift, and ship improvements based on user feedback
Write documentation and playbooks for self-service use
Train marketing teams on tool usage, output quality, and appropriate AI use
Support AI Incubator intake by evaluating submissions and moving projects toward production
Maintain data and brand guardrails and flag customer-data or brand-voice concerns for review
Respond to issues with live tools, triage failures, and close the feedback loop
Track tool usage and impact to establish defensible ROI

Requirements

What you’ll need

Proficiency with or ability to quickly ramp on 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, including writing and iterating prompts, evaluating output quality, and working within context limits
Experience with APIs, webhooks, automation platforms such as Zapier/Make, and basic scripting; Python preferred
Strong written communication
Comfort with ambiguity and a bias toward shipping
Experience in B2B SaaS marketing, ideally EdTech or enterprise software (preferred)
Familiarity with Salesforce, Marketo, Asana, Google Analytics, or comparable platforms (preferred)
Experience building a real AI tool, bot, automation, or side project used by people (preferred)
Exposure to CMS or web platforms, including Drupal, content management, and localization workflows (preferred)
Experience with GitHub and Railway for version control and deployment (preferred)
Must pass a background check
Must complete identity verification and provide requested legal name, current physical location, valid contact number, and residential address in accordance with local data privacy laws

Benefits

Comp & perks

Competitive compensation
Ownership program for all full-time employees
Flexible work culture
Generous time off, including local holidays and the annual “Dim the Lights” period in late December
Comprehensive wellness programs and mental health support
Learning and development resources
Professional development tools
Tuition reimbursement
Technology and tools needed to do your best work
Motivosity employee recognition program
Inclusive, supportive culture