AI Agent PM 포지션
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- 경력레벨 : Senior
- 급여수준 : 협의
- 교육수준 : 학사, 석사/MBA, 박사
- 모집기간 : 채용시까지
◈ 직무 개요
1. Product Roadmap & Alignment
• Strategic Alignment: Coordinate with Product, Engineering, and Operations teams around new feature launches or system changes to ensure the Agent is aligned with the latest context.
• Roadmap Execution: Define the Product Roadmap to achieve key metrics (e.g., Deflection Rate, CSAT) and coordinate release schedules with development teams.
• Market & Technology Intelligence: Conduct competitive analysis on CS AI solutions and emerging LLM capabilities to inform the product strategy
2. Agent Ops & Quality Control
• Continuous Monitoring & Safety: Oversee real-time monitoring of Agent responses to detect hallucinations, inappropriate answers, policy violations, and adversarial inputs (e.g., jailbreaking attempts). Resolve issu"&"es through Prompt/Instruction Tuning or by escalating to the appropriate teams.
• Edge Case & Unexpected Scenario Management: Proactively identify unexpected user scenarios and edge cases. Evaluate and strengthen safety guardrails to ensure the Agent handles unforeseen situations gracefully.
• Performance Optimization: Collaborate cross-functionally with Knowledge Base, CS Ops, Contents, and Data Teams to update Grounding Resources and address root causes of performance issues.
• Evaluation Management: Build and maintain curated evaluation sets (Golden Test Sets) covering typical user queries and edge cases. Continuously track metrics (Accuracy, Relevance, Groundedness) to ensure response consistency.
3. Data-Driven Insight & Risk Management
• Anomaly Detection: Detect sudden changes in User Query Patterns to identify potential system failures or bugs, promptly escalating them to Operation/Engineering teams.
• VOC Analysis: Surface Voice of Customer data from conversation logs to provide actionable insights that drive Product Improvement across the entire organization.
◈ 경력 요건
• Total Experience: 7+ years (with 5+ years in PM/PO roles).
• Business-Fluent English (Verbal & Written): Ability to discern subtle nuance and context in English text and apply that precision to Prompt Engineering - beyond conversational fluency.
• Hybrid Role Capability: Ability to balance the strategic planning (""Why"") of a Product Owner with the execution and management (""How"") of a Project Manager.
• Analytical Problem Solving: Ability to logically decompose complex issues and derive solutions based on Data.
• Cross-Functional Communication: Proven ability to align diverse stakeholders (Engineering, Operations, Business) and drive decisions through clear, structured communication.
• Technical Understanding: Working understanding of LLM Core/Application mechanisms (Token, Temperature, Context Window, CoT, Extended Thinking, Tool Calling, Grounding) and Prompt Engineering techniques.
[우대사항]
• Experience or understanding of the iGaming or Regulated Business.
• Familiarity with Poker, iGaming or game theory - helpful for building empathy with our core user persona.
• Understanding of the Customer Support Domain or experience with CS System projects.
• Experience in planning, commercializing, and operating LLM-based Conversational AI services.
• Experience building or prototyping products using Agentic Coding tools (e.g., Claude Code, Antigravity, GitHub Copilot, Cursor).
• Experience with the Salesforce Ecosystem and data analysis skills using Python/SQL
◈ 제출 서류
- 국문/영문 이력서 및 자기소개서
◈ 처우
- 협의
