AI Engineer, Marketing

OpenKrill; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Ownership program

Flexible work culture

Generous time off

Wellness programs

Tuition reimbursement

Learning resources

Tech/tools for success

Inclusion-focused culture

Job summary

Instructure is seeking a hands-on marketer-tech engineer to build production AI tools for marketing teams, from content generators to SDR prep systems, and to integrate these tools across Salesforce, Asana, Marketo, and CMS platforms.

You'll write prompts, test outputs, and monitor drift, while documenting approaches and training teams to use the tools effectively. The role emphasizes quality, ROI tracking, and a bias toward shipping in a fast-evolving tech environment.

Qualifications

• Proficiency with or ability to ramp on our AI and marketing tech stack (Claude, Gemini, Clay, Glean).
• 2+ years in marketing technology, automation, software, or a comparable technical role.
• 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.

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.

Skills

LLMs prompts

APIs & webhooks

Automation platforms

Python scripting

Technical writing

Stakeholder communication

Tools

Claude

Gemini

Clay

Glean

Salesforce

Asana

Marketo

CMS platforms

Job 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 expect:

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
• Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
• Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
• Comprehensive wellness programs and mental health support
• Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
• The technology and tools you need to do your best work
• Motivosity employee recognition program
• A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.