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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze post-launch conversation data to identify trends, drop-off points, and improvement opportunities
- Recommend and implement optimizations to increase intent recognition, improve containment, and enhance user experience
- Collaborate with AI SMEs, Implementation Managers, and Product teams to deploy conversational updates
- Conduct A/B testing and performance experiments on bot flows, prompts, and fallback handling
- Monitor key performance metrics (e.g., containment, escalation rates, satisfaction scores) and report on AI bot health
- Contribute to internal best practice libraries, tuning guides, and optimization playbooks
- Support ongoing customer education by sharing insights and usage trends
Requirements
What you’ll need- 1-2 years of experience working with conversational AI platforms (voice/chat)
- Exceptional communication skills - written and customer facing.
- Strong analytical skills and experience interpreting conversational data
- Familiarity with conversational design principles and LLM Prompt Engineering, Automation
- Experience in coding(python) and Prompt engineering
- Ability to translate technical findings into clear, actionable recommendations
- A relevant degree from a reputable University
- Experience working with financial institutions, or contact centers (preferred)
- Understanding of AI Voice-specific challenges (e.g., telephony routing, authentication, fallback behavior) (preferred)
- SQL or basic data querying/reporting experience (preferred)
Benefits
Comp & perks- Customers are our North Star
- No Fear - Tell the truth
- Team of Owners
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
conversational AIA/B testingperformance metricsdata analysisPythonLLM Prompt EngineeringautomationSQLdata queryingconversational design principles
Soft Skills
communicationanalytical skillscollaborationcustomer educationactionable recommendations
