出海雷达

Senior Program Manager, Knowledge

其他限定地区(需当地身份)
公司Rippling
薪资$90,000 - $150,000/年
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。

杆将给企业一个地方运行人力资源,IT 和财务。它汇集了所有通常在公司中分散的员工系统,如薪水表,费用,福利和计算机。第一次可以在单一系统中管理和自动化员工生命周期的每个部分。例如,让你登录。使用 Rippling,你可以在世界任何地方雇用新员工并设置他们的薪资表,公司卡,电脑,福利甚至像 Slack 和微软365这样的第三方应用程序。基于加州旧金山,Rippling 已从全球顶尖投资者集了1.4亿美元以上,包括克莱纳·珀金斯,创始人基金,塞奎亚,格林诺克和贝德罗克,并被福布斯评为美国最好的初创企业之一。我们优先考虑候选人的安全。请注意所有官方通信将只来自@Rippling.com 地址发送。关于角色后成为美国快速增长的初创公司 ($0 → $17B),Rippling 准备升级我们的运营,在未来几年内扩大到5亿美元的 ARR. 我们需要一个能够带领我们从1到10及更远的人,以全球 scale. 支持运营管理一个全球支持组织,拥有1000多名员工和10个精细团队。我们的目标不仅是支持业务,而且是自动化摩擦。我们正在寻找 AI-原生项目经理来通过更好的知识管理强加乘用我们的全球支持组织。你将拥有内部和外部的知识路线图,执行在三个核心支柱上:· 外部知识扩展与偏移:推动我们面向外界帮助中心的不断扩张和改进,提高公众文章的数量和质量以最大程度地服务客户并增加票转移率。·内部知识和代理效率:修改我们内部的 Conkluence 空间结构,清晰度和深度以支持高性能代理辅助工具,确保客户支持团队立即获得准确可操作的见解。·人工智能首次连续性与治理:倡导人工智能第一方法来数据结构化,建立自动或高效的工作流程,使我们的整个知识生态系统保持完整,完全格式化为 LLM 消费,并持续更新。向支持运营总监报告,你将负责设置内部知识两组

查看英文原文

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About The Role

After becoming one of the fastest growing startups in the United States ($0 → $17B), Rippling is ready to up-level our operations to scale to $5B in ARR over the next couple years. We need someone who can take us from 1 to 10—and beyond, on a global scale.

Support Operations manage a global support organization of more than 1,000 employees with a lean team of 10. Our goal isn't just to support the business, but to automate the friction out of it. We are looking for an AI-Native Program Manager to force-multiply our global Support organization through better knowledge management. You will own the internal and external Knowledge roadmap, executing on three core pillars:

  • External Knowledge Scaling & Deflection: Drive the expansion and continuous improvement of our external-facing help center, elevating both the quantity and quality of public articles to maximize customer self-service and boost ticket deflection rates.
  • Internal Knowledge & Agent Efficacy: Overhaul the structure, clarity, and depth of our internal Confluence space to power high-performance agent-assist tools, ensuring customer support teams have immediate access to accurate, actionable insights.
  • AI-First Continuity & Governance: Champion an AI-first approach to data structuring, establishing automated or highly efficient workflows that keep our entire knowledge ecosystem exhaustive, perfectly formatted for LLM consumption, and consistently up to date.

Reporting to the Director of Support Operations, you will be responsible for setting the internal Knowledge roadmap and executing against it to improve Support quality and efficiency.

What You'll Do

  • Architect the Dual-Purpose Knowledge Strategy: Completely overhaul and organize our internal Confluence instance for product, process, and policies. You will establish the frameworks, templates, and structures that make our data instantly readable for humans and optimized for AI chunking/ingestion.
  • Empower Support Leads as an AI Knowledge Consultant: Work side-by-side with Customer Support Leads to map out top-tier deflection opportunities. You will help them translate messy product updates and tribal knowledge into clear, structured, and accurate documentation.
  • Build the Knowledge Expansion Engine: Create and scale "text cleaning" and content generation loops for continuity and governance. You will build workflows that automatically capture insights from resolved tickets, Slack threads, and Jira bugs, converting them into polished internal and external knowledge articles.
  • Optimize AI Deflection & Accuracy: Directly diagnose where our customer-facing AI bots and internal agent-assist tools get confused. You will ruthlessly refine content layouts, semantic keywords, and underlying data structures to eliminate AI hallucinations and boost automated deflection rates.

Qualifications

  • The "Scrappy" Information Architect: You have 5 – 7 years of experience in Knowledge Management, Technical Writing, Support Operations, or Information Architecture at enterprise scale. You think in data hierarchies, taxonomies, and cross-functional structures.
  • AI-First Operator: You approach problems with an AI-first mindset, instinctively looking to automate tasks and streamline manual processes before building traditional workflows. You have a proven track record of using generative AI, LLMs, and automation platforms to eliminate administrative overhead, auto-tag documentation, and orchestrate smart information pipelines.
  • Independent Orchestrator: You are comfortable operating entirely alone as the sole builder of this roadmap. You excel at partnering with busy Support Leads, extraction of complex information, and turning it into organized systems without needing an active development team.
  • Data & System Literate: You know how to measure the direct ROI of knowledge. You can track support ticket trends, query SQL, analyze deflection metrics, and pinpoint exactly where information gaps are impacting customer satisfaction.
  • Technical Requirements:
  • Expert-level knowledge infrastructure experience (Confluence, JIRA, Salesforce Knowledge).
  • Deep familiarity with prompt engineering and the LLM landscape (OpenAI, Anthropic, Gemini).
  • Expertise in SQL/Snowflake to wrangle data and generate insights
  • (Preferable) Expert in text automation and parsing skills (e.g., Zapier, regex, AI content pipelines).
  • (Preferable) Understanding of text chunking, embedding models, and vector retrieval actually work. You know how formatting choices (like clean Markdown or structural HTML) directly affects an AI's ability to pull the right answer

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

Originally posted on Himalayas

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