出海雷达

AI Product Manager

AI职能支持限定地区(需当地身份)
公司Tiger Analytics
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

塑造人工智能的未来。改变世界领先企业。虎分析是增长最快的 AI 服务公司之一,与世界上一些最大和影响力最大的组织合作重新定义商业如何开展业务。我们帮助财富500强公司利用人工智能,生成人工智能 (AI),数据科学,数据工程和高级分析的能力来解决其最复杂的挑战,释放新的成长机会并创造持久的业务影响。我们处于人工智能革命的前沿,帮助企业超越传统分析,拥抱生成人工智能的平台,代理人工智能،智能自动化和云原生数据平台。在 Tiger Analytics,我们不仅帮助企业适应未来我们帮助他们构建它 我们正在寻找一个运营研究科学家加入我们的先进分析和人工智能团队支持一些大型企业客户。在这个角色中,你将担任关键责任:·系统架构与设计:将复杂的模型架构,数据分析和功能工程转化为可扩展的代理设计模式。·工作流量优化:通过评估传统的工作流程并设计加速操作速度的自动化,人工智能驱动替代方案来重塑过程。·文本和快速工程:系统地构建数据,运营限制和指南以优化 LLM 性能和输出可靠性。· 原型设计与验证:开发低效率原型来验证 AI 核心功能,用户体验和整体模型可行性。·绩效评估:设计业务一致的评价框架,定义收集数据和测量程序影响的关键度。·代理部署:建筑师并部署先进的 AI 代理,包括 RAG 解决方案,矢量搜索集成以及使用 A2A 和 MCP 的多代理系统。·战略通信:充分利用优秀的解决问题和演示技能,以将技术执行与各种利益相关者业务战略联系起来。要求 · 技术知识 (硬技能)· 5-7年以上产品管理,系统或解决方案架构,软件/平台工程或面向客户角色的技术领导经验。· 设计端到端人工智能系统 (例如 RAG,矢量数据库和 API 集成)和定义 AI 产品/工作流规范的经验。

查看英文原文

Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are seeking a Operation Research Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will
Key Responsibilities:

  • System Architecture & Design: Translate complex model architectures, data analysis, and feature engineering into scalable agent design patterns.
  • Workflow Optimization: Lead process reimaging by assessing legacy workflows and designing automated, AI-driven alternatives that accelerate operational velocity.
  • Context & Prompt Engineering: Systematically structure data, operational constraints, and guidelines to optimize LLM performance and output reliability.
  • Prototyping & Validation: Develop low-fidelity prototypes to validate core AI features, user experiences, and overall model feasibility.
  • Performance Evaluation: Design business-aligned evaluation frameworks, defining key metrics to collect data and measure program impact.
  • Agent Deployment: Architect and deploy advanced AI agents, including RAG solutions, vector search integration, and multi-agent systems using A2A and MCP.
  • Strategic Communication: Leverage excellent problem-solving and presentation skills to bridge technical execution with business strategy for diverse stakeholders.

Requirements

  • Technical Knowledge (Hard Skills)
  • 5-7+ years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in customer-facing roles.
  • Experience designing end-to-end AI systems (e.g., RAG, vector databases, and API integrations) and defining AI product/workflow specifications.
  • Operational Excellence (Soft Skills)
  • Active Participation: Show up promptly for all internal and client-facing meetings.
  • Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers.
  • Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment.
  • Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures.
  • Preferred Experience
  • Background in financial services or retail to better understand industry-specific data logic (e.g., credit risk, royalty forecasting, or search relevance).
  • Knowledge of privacy and compliance standards for handling PII through masking and redaction.

Why Join Tiger Analytics:

  • Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
  • Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
  • Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
  • Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas

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