AI Enablement Engineer
Applause • United States • Salt Lake City, Utah, United States
No Relocation
Posted: July 20, 2026
Job Description
Hiring Manager: Jeff Martin, CTO
We're looking for an AI Enablement Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.
Responsibilities:
- AI Workflow Roadmap & Delivery
- Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
- Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
- Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
- Iterate and fine-tune workflows post-launch based on usage and feedback
- Systems & Integrations
- Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
- Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
- Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
- Adoption, Training & ROI
- Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
- Troubleshoot adoption issues directly with end users rather than escalating them
- Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
- Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
- Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
- 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
- Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required
- Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
- Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
- Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
- Strong communicator who can train and troubleshoot with non-technical users
- Detail-oriented with strong ownership over initiatives, start to finish
- Very effective in a remote work environment
Additional Content
Hiring Manager: Jeff Martin, CTO
We're looking for an AI Enablement Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.
Responsibilities:
- AI Workflow Roadmap & Delivery
- Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
- Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
- Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
- Iterate and fine-tune workflows post-launch based on usage and feedback
- Systems & Integrations
- Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
- Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
- Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
- Adoption, Training & ROI
- Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
- Troubleshoot adoption issues directly with end users rather than escalating them
- Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
- Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
- Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
- 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
- Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required
- Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
- Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
- Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
- Strong communicator who can train and troubleshoot with non-technical users
- Detail-oriented with strong ownership over initiatives, start to finish
- Very effective in a remote work environment