AI Agent PM
공고 요약
포지션 특징
실제 고객 트래픽을 처리하는 AI Agent 운영 및 LLM Alignment 경험
AI를 활용한 아이디어 구상, 엔지니어링, 데이터 분석, 문서화 중심의 업무 방식
다양한 언어와 문화권의 사용자 데이터를 기반으로 한 글로벌 AI 제품 라이프사이클 경험
대규모 고객 대화 로그 분석을 통한 정량적 제품 인사이트 도출
지식관리, CS 운영, 플랫폼, 데이터 팀 및 글로벌 이해관계자와의 협업
주요업무
Game Product, Engineering, Operations 팀과 신규 기능 및 시스템 변경 사항 조율
Deflection Rate, CSAT 등 핵심 지표 달성을 위한 제품 로드맵 수립 및 출시 일정 관리
CS AI 솔루션과 최신 LLM 기술에 대한 경쟁사 및 시장·기술 동향 분석
AI Agent 응답 실시간 모니터링 및 환각·부적절한 답변 대응
Prompt 및 Instruction Tuning을 통한 문제 해결과 관련 팀 에스컬레이션
탈옥 시도, 정책 위반 등 엣지 케이스와 안전 가드레일 관리
Knowledge Base, CS Ops, Contents, Data 팀과 Grounding Resource 개선 및 성능 문제 원인 해결
Golden Test Set 구축·관리와 Accuracy, Relevance, Groundedness 지표 추적
사용자 질의 패턴 변화와 시스템 이상 징후 탐지 및 운영·엔지니어링 팀 전달
고객 대화 로그에서 VOC를 도출해 전사 제품 개선에 반영
활용 도구와 기술
GPT, Claude, Gemini, Qwen 등 Frontier Models 및 MLLM
Azure, AWS, Google Cloud 및 AI·ML 관리형 서비스
Snowflake, BigQuery/BigLake, Firestore, Cosmos DB
Jira, Slack, Confluence, Atlassian Rovo
Google Workspace, Gemini Pro, NotebookLM Pro, Claude Code
Salesforce, Sendbird, Lokalise
자격요건
비즈니스 수준의 영어 구사 및 영문 텍스트의 뉘앙스·맥락 이해
Product Owner의 전략 기획과 Project Manager의 실행·관리 역량을 함께 수행하는 능력
복잡한 문제를 논리적으로 분해하고 데이터 기반으로 해결하는 능력
LLM 핵심·응용 메커니즘(Token, Temperature, Context Window, CoT, Extended Thinking, Tool Calling, Grounding) 이해
Prompt Engineering 기법 이해
복리후생 및 보상
식대지원
자기계발지원
보너스
합격보상: 지원자와 추천인 각 현금 50만원
근무환경
AI를 업무 전반에 활용하는 AI-Native Workflow
기획, 엔지니어링, 데이터 분석, 문서화 조직 간 협업
마감기한
상시채용
앤서스랩 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
| 이런 경험을 할 수 있어요 • Real-world LLM Alignment: Gain rare, hands-on experience orchestrating customer-facing AI Agents that handle live customer traffic, optimizing alignment through continuous feedback loops. • AI-Native Workflow Mastery: Immerse yourself in a culture that leverages AI across the board - from ideation and engineering to data analysis and documentation - making AI fluency a core part of how you work. • Global AI Product Leadership: Build your career as a Global AI Product Manager by leading the End-to-End Product Lifecycle (Planning, Deployment, Operation, Improvement) based on user data from diverse languages and cultures. • Data-Driven Decision Making: Develop the capability to derive quantitative Product Insights by analyzing hundreds of thousands of actual customer conversation logs using AI. • Global Cross-Functional Leadership: Strengthen your leadership by collaborating with diverse functional organizations (Knowledge Management, CS Operations, Platform, Data Teams) and global stakeholders. | 이런 도구와 기술을 활용하고 있어요 Our team works hands-on with Frontier Models and modern SaaS tools daily. • LLM/MLLM: Almost Frontier Models (GPT, Claude, Gemini, Qwen, etc.) • Cloud Platforms: Azure, AWS, Google Cloud (including AI/ML managed services) • Data Solutions: Snowflake, BigQuery/BigLake, Firestore, Cosmos DB • Collaboration & Productivity: Jira, Slack, Confluence (w/ Atlassian Rovo), Google Workspace (w/ Gemini Pro, NotebookLM Pro), Claude Code • SaaS Integrations: Salesforce, Sendbird, Lokalise
주요업무
| 우리는 이런 일을 해요 1. Product Roadmap & Alignment • Strategic Alignment: Coordinate with Game Product, Engineering, and Operations teams prior to 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: Monitor Agent responses in real-time to detect hallucinations and inappropriate answers. Resolve issues through Prompt/Instruction Tuning or by escalating to the appropriate teams. • Edge Case & Safety Management: Identify unexpected user scenarios, adversarial inputs (e.g., jailbreaking attempts), and policy violations. 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.
자격요건
| 이런 분과 함께 하고 싶어요 • 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. • Technical Understanding: Working understanding of LLM Core/Application mechanisms (Token, Temperature, Context Window, CoT, Extended Thinking, Tool Calling, Grounding) and Prompt Engineering techniques.
우대사항
| 이런 경험이 있으면 더 좋아요 • Experience or understanding of the iGaming or Regulated Business. • Personal interest in 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.
혜택 및 복지
| 앤서스랩코리아가 더 궁금하다면? • 앤서스랩코리아 최신 소식 보러가기: https://nsuslab.com/#/departments • ATI팀 소개 바로 가기: https://nsuslab.com/#/departments/ati | 근무 형태 및 시간 • 근무 형태 : 정규직 (시용 3개월 종료 후, 정규직 전환 가능 대상 / 정규직 급여와 동일) • 근무 시간 : 선택적 근무제 (출근시간 : 오전 9시 ~ 11시)
