AI Enablement Engineer

United States·Salt Lake CityRemoteFull-timemid

OtherAi Enablement Engineer

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Quick Summary

Key Responsibilities

AI Workflow Roadmap & Delivery Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact,

Technical Tools

OtherAi Enablement Engineer

Responsibilities

~2 min read

→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

What We Offer

~1 min read

Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We’re focused on helping companies supercharge their team’s performance so they can win more lifelong customers. Learn more about our company and culture here: