AI Enablement Engineer

🕒 July 20

⛷️ Utah – Remote

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⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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Applause

11 - 50 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Applause is a SaaS start-up focused on employee engagement, helping companies enhance team performance and win more lifelong customers. By employing automated, real-time incentives and recognition, it aims to motivate employees, increase sales through better customer feedback and upsells, improve customer retention, and foster a more engaged workforce aligned with company goals.

📋 Description

• 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 • 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 • 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

🎯 Requirements

• 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

🏖️ Benefits

• 100% remote w/ no office mandate • Unlimited PTO • 22 official company holidays • Health care • Life insurance • Stock options • Amazing colleagues • Energetic culture that is positive and celebrates together • Inspiring mission & software product • Ability to grow your career by being early in a fast-growing tech startup

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