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Applied AI Coach
Atlanta, GA 30326
$70k - $130k
2 days ago
💻 Open Source🔥 HotExplicitly requires vibe-coding tools and prompt engineering experience; works directly with LLMs and AI agents.
About the Role
The Applied AI Coach will own the customer journey from sale through AI deployment, ensuring AI agents deliver measurable business outcomes. This hybrid role combines hands-on prompt engineering and LLM knowledge with customer-facing coaching and operational troubleshooting to stabilize and optimize AI deployments.
Job Description
Role
The Applied AI Coach on the Outcome Acceleration team partners with Agentforce and customer teams to ensure AI agents deliver the promised business outcomes. You will own the customer journey from first sale through stable, value-generating deployment, running short diagnostic sprints and leading business reviews.
Key Responsibilities
- Design and execute success plans to measure whether AI agents meet goals and align with the original business case.
- Run four-week sprints to diagnose and resolve performance issues when AI results are lagging.
- Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than usage metrics alone.
- Track AI agent deployment and adoption on a weekly basis to ensure production stability.
- Bridge engineering/AI teams and business stakeholders to translate technical behavior into business impact.
Requirements
- Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
- 1–3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support.
- Proven ability to work directly with customers to solve problems and communicate technical concepts clearly.
- Hands-on experience with prompt engineering, vibe-coding tools, or large language models (LLMs).
- Strong analytical skills to interpret outcome models and prove the value of AI in a business setting.
- Clear understanding of how AI systems and LLMs function in production environments.
Preferred Qualifications
- Experience diagnosing unexpected model behavior or model drift over time.
- Ability to craft compelling data narratives for executive decision-making.
- A GitHub portfolio showcasing AI experiments or projects.
Location and Work Model
- Hybrid role based out of the SMB Hub; requires on-site presence three days per week.
Compensation (base salary)
- Typical range: $70,070 - $119,000 annually.
- In California, New York, and select metropolitan areas (Boston, Chicago, Seattle, Washington DC) the range is $77,070 - $130,970 annually.
Benefits (high level)
- Time off programs; medical, dental, and vision coverage; mental health support.
- Paid parental leave; life and disability insurance; 401(k); employee stock purchase program.
- Certain roles may be eligible for incentive compensation and equity.