AI Enablement Engineer

🕒 vor 16 Tagen

⛷️ Utah – Remote

info

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Applause

Applause

11 - 50 Mitarbeiter

💼 Beratung

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Endlich eine Mitarbeiterbindungssoftware, die funktioniert. Applause ist ein SaaS-Start-up, gegründet von erfahrenen Unternehmern und unterstützt von einigen der besten Risikokapitalgeber in Silicon Slopes. Unser Fokus liegt darauf, Unternehmen dabei zu helfen, die Leistung ihres Teams zu steigern, damit sie mehr lebenslange Kunden gewinnen können. Wir nutzen automatisierte, Echtzeit-Anreize und Anerkennung, um die Mitarbeiter zu motivieren, zu: • Umsatzsteigerung durch mehr Google-Bewertungen und Upsells • Mehr Kundenbindung durch Verbesserung des NPS und des Kundenservice • Länger beim Unternehmen zu bleiben und stärker in die Unternehmensziele eingebunden zu sein Eine leistungsbasierte Kultur aufzubauen, ist schwierig. Applause macht es einfach.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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