CXO Senior AI Automation Specialist
New
B
BILLFinancial automation
Location: United StatesFull-TimeSenior
Salary99,800 - 146,800 USD per year
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Job Details
- Experience
- 5+ years building and deploying production systems; 2+ years working with LLMs in production.
- Required Skills
- PythonSQLSalesforce
Requirements
- Have 5+ years of experience building and deploying production systems.
- Have 2+ years of experience working with LLMs in production.
- Know Python; SQL is strongly preferred.
- Have experience with prompt configuration, tool use, function calling, RAG pipelines, or agentic frameworks.
- Have experience building LLM orchestration and integration layers that connect AI agents to business systems.
- Understand multi-step workflows, tool coordination, memory management, and error recovery.
- Have experience structuring context, routing logic, and retrieval pipelines for AI systems at scale.
- Know how to measure operational reliability and whether AI systems deliver expected business outcomes.
- Be comfortable defining an approach in ambiguous situations.
- Be able to translate technical implementation into business value, such as hours saved, contacts deflected, and cost avoided.
- Have familiarity with customer support operations, including contact routing, SLAs, agent workflows, and quality assurance.
- Have a bias toward shipping, measuring, and iterating.
Responsibilities
- Automate repetitive operational workflows, including CES reporting, QA transcript analysis, knowledge article maintenance, and SOP-driven case workflows.
- Deploy standardized automations across Slack and Salesforce.
- Flag stalled handoffs, aged cases, SLA breach risks, and duplicate cases.
- Review DevRev and Cresta transcripts to check bot behavior.
- Deliver automated weekly and monthly business intelligence on site health, volume, SLA, and CES.
- Detect escalation patterns and repeat contacts.
- Build memory architecture that combines staffing, feedback, transcripts, and agent work.
- Deploy orchestration layers and connectors to automate CX business workflows and productize internal tools.
- Measure operational reliability and system accuracy against business metrics, and design escalation patterns for human review.
- Partner with the data team on structured data layers and productize successful solutions across the organization.
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