AI Automation Analyst (Claude)

Who We Are

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.

What you'll do

End-to-End AI Strategy

Own and manage AI automation initiatives across the entire Customer Experience (CX) lifecycle, from onboarding and adoption to renewals.

Claude Workflow Engineering

Design, build, and deploy sophisticated Claude-based workflows to automate customer intelligence, health scoring, and repetitive CX processes.

Revenue Orchestration

Automate the integration of customer insights into core business drivers, including renewals, upsells, and cross-sell opportunities.

AI Insight Extraction

Develop automated frameworks for high-level data synthesis, including NPS analysis, churn patterns, and insight extraction from customer interactions.

Prompt Engineering Leadership

Create and maintain scalable prompt engineering frameworks and reusable templates to ensure the consistency and accuracy of AI outputs.

Cross-Functional Integration

Collaborate with Product, Sales, and Ops to seamlessly integrate AI workflows into existing tech stacks, including CRMs and support platforms.

QA & Brand Governance

Establish rigorous quality assurance processes to validate AI outputs for compliance, accuracy, and alignment with the corporate brand voice.

Performance Optimization

Monitor and tune automation performance against key business metrics such as NRR (Net Revenue Retention), Retention Rate, and CSAT.

Enablement & Governance

Act as the internal Subject Matter Expert (SME) for AI capabilities, providing documentation, stakeholder training, and ensuring responsible AI data privacy and risk mitigation.

What you'll bring

Education

Bachelor’s degree in Business, Analytics, Computer Science, or a related technical field (Master’s in AI/ML preferred).

Core Experience

2–4 years of proven success in CX operations, AI automation, or high-level data analytics.

LLM Proficiency

Hands-on experience with Claude or other LLMs, including a strong background in prompt engineering and workflow design.

Tech Stack Expertise

Familiarity with core CX platforms and integrations, including Salesforce , Pendo , Slack , and automation tools like Zapier .

Systems Thinking

Strong analytical ability to translate complex business problems into scalable, automated AI solutions.

Technical Literacy

Solid understanding of APIs , data integrations, and the infrastructure required for seamless AI workflow deployment.

Strategic Communication

Excellent ability to explain technical AI capabilities, limitations, and governance to non-technical stakeholders.

Operational Rigor

Demonstrated skill in balancing rapid execution with high-quality output, thorough documentation, and risk mitigation.