AI & Automation Specialist (Applied AI, Workflows & Marketing Automation)

Job description Most marketing teams are doing more work than ever — and getting inconsistent results. More campaigns. More tools. More noise. This role exists to help fix that. We're hiring an AI & Automation Specialist to help us build and run AI-powered workflows, automations, and tools that make our marketing work faster, better, and more consistent. You'll work closely with senior team members to ship real systems that get used — by our team and by our credit union clients. This is an entry-level / early-career role. We don't expect you to have built it all before. We expect you to be curious, hands-on, and excited to learn how to apply AI in real-world marketing work. What You're Really Here To Do Help turn AI and automation into systems that scale. That means Supporting the build of AI workflows that improve how our team works Helping prototype and ship generative AI tools and automations Taking repeatable, manual tasks and turning them into structured processes Contributing to internal tools and client-facing AI features Some of what you help build will stay internal. Some will become part of what we deliver externally. Either way, the goal is to ship things that get used. Where You'll Make an

Impact AI Workflow & Automation Support Focus:

AI should simplify work — not complicate it. You will Help identify where AI, LLMs, and automation could improve workflows Build and maintain AI workflows using tools like OpenAI, Anthropic Claude, n8n, Zapier, and Make Write, test, and refine prompts to get reliable, repeatable outputs Take manual, repeatable work and help turn it into automated processes Document workflows, prompts, and processes so the team can reuse them What success looks like Workflows you help build are running reliably The team uses what you build without friction Manual tasks get replaced with repeatable systems

Internal Tools & Marketing Automation Focus:

Make the team's day-to-day easier. You will Help build small internal tools using AI APIs and no-code/low-code platforms Connect AI workflows to existing systems (CRM, MarTech tools, content workflows) Support reporting and operations workflows with AI assistance Take feedback from the team and improve what you've built What success looks like Tools and automations are reliably running real work Team members come to you with ideas because they trust what you ship The work is documented well enough for others to maintain Client-Facing AI Tools (Supporting Role)

Focus:

Help turn internal wins into client value. You will Support senior team members in building AI tools and features for clients Prototype small AI-powered features under guidance Help test, document, and improve client-facing AI tools Gather feedback and bring it back to the team What success looks like Client-facing tools you contribute to are actually used You're a reliable contributor to product builds, not a bottleneck You learn quickly from each project

Team Enablement & Documentation Focus:

What you build should make everyone better. You will Document workflows, prompts, and tools clearly Help train team members on AI tools and automations Make complex things feel simple Be a go-to resource for "how do I use this?" questions What success looks like Team members can use what you build without hand-holding Documentation is current and useful AI adoption across the team is growing

Testing & Continuous Improvement Focus:

We learn what works — and stop what doesn't. You will Run small, structured tests on AI workflows Track output quality, reliability, and adoption Surface what's working and what isn't Help improve systems over time What success looks like Tests have clear goals and outcomes Issues get caught early Systems get better over time

Responsible AI Practices Focus:

We use AI in a way that builds trust — not risk. You will Follow our AI usage standards and guidelines Handle client data carefully and appropriately Flag risks, weird outputs, or anything that feels off Stay curious about responsible AI practices, especially for financial services clients What success looks like You follow the guardrails consistently You raise concerns early Senior team trusts your judgment What This Role Is Not Not a senior or lead role — you'll have support and mentorship Not a research role (we're applied, not theoretical) Not a content or copywriting role Not pure project management This is a hands-on applied AI role for someone early in their career who wants to build real things. What You Should Already Be Comfortable With We're not looking for a long resume. We're looking for evidence you can do the work. Hands-on experience using AI tools and LLMs (OpenAI, Anthropic Claude, ChatGPT, etc.) — not just chatting with them, but using them to actually do work Some experience with prompt engineering — you've written prompts that got real, repeatable results Familiarity with automation tools like Zapier, Make, n8n, or HubSpot workflows Comfort connecting tools through APIs or no-code integrations A track record of taking a manual process and making it more efficient — even small examples count Strong communication and willingness to ask questions This experience can come from internships, a previous job, freelance work, school projects, or personal projects. We care more about what you've built than where you built it. Bonus (Helpful, Not Required) Light coding experience (Python, JavaScript, SQL) — even tutorial-level Familiarity with AI agents or agentic workflows (LangChain, CrewAI, etc.) Exposure to RAG (retrieval-augmented generation) or vector databases Experience with HubSpot or another CRM Familiarity with MarTech tools Marketing or agency experience A portfolio of automations, prompts, scripts, or AI projects (even small ones) How We'll Measure Success Workflows and tools you build are adopted and used You become a reliable contributor the team trusts to ship Manual work gets replaced by AI-powered systems You grow quickly and take on more ownership over time Why This Role Matters Most companies add more Tools Campaigns Complexity We're trying to do the opposite. Simplify. Systemize. Make AI useful. This role is how we build that — and it's a chance for someone early in their career to grow into a real applied AI role inside a team that's actually shipping. Final Thought If your experience with AI is just chatting with ChatGPT, this won't quite be a fit. If you've ever looked at a manual process and thought: "There's a better way to do this"… …and then actually tried to build it — with a prompt, a Zap, a script, or a small tool — That's what we're looking for. You don't need to have done it perfectly. You just need to have done it. Keywords artificial-intelligence sales-and-marketing-automation automated-marketing marketing-automation generative-artificial-intelligence-generative-ai workflow claude-by-anthropic n8n zapier make sensors-test-measurement low-code candidate-relationship-management crm customer-relationship-management-crm marketing-tools marketing-technology reporting-and-disclosure adaptive-project-management-and-reporting maintenance-repair-and-operations-mro youth-organizations-resources testing-and-analysis continuous-improvement-process-cip time-and-attendance responsible-ai policies-and-practices customer-data financial-services guardrails racking-protection safety-barriers mentoring copywriting project-management chatgpt prompt-engineering hubspot python javascript sql langchain crewai retrieval-augmented-generation-rag search-and-retrieval vector-database zap-uber zap scripting