高级产品分析师
Senior Product Analyst
我们致力于重塑保险行业。理赔处理（即我们是否应支付该索赔？）虽然常常被忽视，却是整个行业的基础。目前这一过程高度依赖人工，涉及电话、传真和直觉判断，每年耗费数十亿美元。我们可以做得更好。
在Assured，我们为大型保险公司提供软件解决方案，帮助他们在技术驱动的现代世界中取得成功。从自助理赔软件到后端欺诈检测，我们是为全球最大的保险公司之一提供理赔处理支持的核心引擎。
我们面临的挑战深刻而多样，从创建在客户最紧张和脆弱时提供舒适和清晰体验的数字化产品，到在数十亿美元理赔支付上协调大规模机器学习驱动的决策，Assured的生活充满活力、协作与回报。
作为**高级产品分析师**，你将把产品数据转化为定义我们如何衡量和评估不断扩展的AI和代理功能的洞察——不仅告诉产品和工程团队发生了什么，还要告诉他们下一步该做什么。
### **你将解决的一些问题：**
🤖 **我们如何衡量AI驱动体验的成功？** 帮助定义指标和评估框架，以判断我们的代理功能是否为客户带来真正的价值。
🧪 **哪些产品变更真正为客户创造价值？** 设计并分析实验，帮助产品团队区分信号与噪音，做出自信的路线图决策。
📊 **我们如何知道产品是否健康？** 构建仪表盘和报告，产品和工程负责人依靠它们了解功能采用情况、产品表现以及客户遇到的困难点。
📈 **哪些客户行为预示长期成功？** 识别区分高度参与客户和可能流失客户的信号，并帮助团队采取行动。
🔍 **用户在哪里遇到困难，我们应该怎么做？** 分析行为数据、群体和使用模式，发现摩擦点，识别机会，并帮助塑造更好的客户体验。
🤝 **我们应该接下来构建什么？** 与产品经理和工程师合作，回答高影响力的业务问题，评估权衡，并用数据指导投资决策。
🎯 **我们今天没有测量哪些内容？** 与产品和工程团队合作，改进现有的度量体系
查看英文原文
Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.
At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.
The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.
As a **Senior Product Analyst**, you'll turn product data into insights that define how we measure and evaluate our expanding AI and agent-powered capabilities — telling Product and Engineering not just what happened, but what to do next.
### **Some of the problems you’ll solve:**
🤖 **How do we measure the success of AI-powered experiences?** Help define the metrics and evaluation frameworks that tell us whether our agentic capabilities are delivering meaningful value to customers.
🧪 **Which product changes actually create value for our customers?** Design and analyze experiments that help Product teams separate signal from noise and make confident roadmap decisions.
📊 **How do we know if our products are healthy?** Build the dashboards and reporting Product and Engineering leaders rely on to understand feature adoption, product performance, and where customers get stuck.
📈 **Which customer behaviors predict long-term success?** Identify the signals that separate highly engaged customers from those at risk of dropping off, and help teams act on those insights.
🔍 **Where are users struggling and what should we do about it?** Analyze behavioral data, cohorts, and usage patterns to uncover friction points, identify opportunities, and help shape a better customer experience.
🤝 **What should we build next?** Partner with Product Managers and Engineers to answer high-impact business questions, evaluate tradeoffs, and use data to guide investment decisions.
🎯 **What should we measure that we aren't measuring today?** Partner with Product and Engineering to improve instrumentation, define meaningful metrics, and ensure we're capturing the data needed to make better decisions.
### **How you'll make an impact:**
📊 **Create confidence in product decisions** by designing, analyzing, and communicating experiments that help teams understand what works and what doesn't.
📈 **Turn product data into strategic direction** by identifying trends, customer behaviors, and opportunities that influence roadmap priorities.
📉 **Build a shared understanding of product health** through dashboards and reporting that give Product and Engineering teams visibility into adoption, performance, and customer outcomes.
🤖 **Help define how we measure success in an AI-first product** by developing the metrics and evaluation frameworks that shape our agent-powered capabilities.
🤝 **Bring data into the room early.** Partner with Product Managers, Engineers, and Designers to frame problems, evaluate tradeoffs, and make better decisions before roadmaps are finalized.
🎯 **Reveal what different customers need** by using cohort analysis, segmentation, and behavioral data to uncover meaningful patterns and opportunities for improvement.
🧩 **Bring clarity to ambiguity.** Start with questions – not predefined reports – and determine what needs to be measured, analyzed, or built to help teams move forward with confidence.
### **You'll probably thrive here if you:**
🧩 **Use data to drive decisions.** You have a track record of answering complex product questions, designing meaningful analyses or experiments, and influencing what gets built next.
📊 **Have strong analytical fundamentals.** SQL is a core part of your toolkit, and you're comfortable working with product data to uncover meaningful patterns and insights.
💬 **Communicate with clarity.** You can explain analytical findings to both technical and non-technical audiences and help teams make informed decisions.
🤝 **Enjoy solving ambiguous problems.** You're comfortable starting with a question—not a predefined dataset—and figuring out what needs to be measured, analyzed, or built to find the answer.
🤖 **Learn tools quickly instead of defining yourself by them.** We use AI throughout our workflows and regularly experiment with tools like Cursor, Claude Code, Codex, and others. We care far more about your ability to adapt than whether you've used our exact stack before.
🛠 **Bring experience with modern analytics platforms.** Familiarity with tools like Mixpanel, Deepnote, AWS, Python, R, or application instrumentation is a plus, but not a requirement. Great analysts learn new tools. Great thinking is harder.
**Benefits:**
🤑 Competitive Compensation: Competitive salary and equity packages for all employees
🏥 Healthcare Plan: Platinum medical, dental, and vision
🛡️ Free life insurance: Including long-term disability & short-term disability
🏄 Unlimited PTO: Uncapped vacation days & paid holidays
👶 Family Leave: Maternity & paternity
📈 401(k) Contribution: Assured contributes 3% of your income, even if you don't contribute
🏠 WFH Benefits: Lunch on us 2x/week, monthly phone stipend & other home office perks
👪 Health FSAs & HSAs: Pre-tax accounts for out-of-pocket medical expenses
🤝 Team events & Offsites: We're remote, but we regularly get together
****We have been made aware of individuals falsely posing as recruiters from Assured Insurance Technologies Inc. Please note that we only contact candidates from official @** [**assured.claims**](http://assured.claims) **email addresses and all interviews are conducted through verified company channels. If you are unsure whether a message is legitimate, please contact us directly at recruiting-ops@assured.claims before sharing any personal information****
**Our Commitment:**
_We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation._