Principal Product Manager
作为技术护理领域的领先者，我们的核心业务是为我们所有喜欢的设备提供保护，维修，安装和专家支持。当科技破产时，我们解决它。当技术发生变化时，我们进步。正如亚苏里昂每天为数百万客户创造有意义的解决方案们选择我们因为他们关心了。我们的工作是实在，协作性，最重要的是：至关重要的。我们不仅解决技术问题；我们缓解与他们伴随的压力和挫折。我们的团队主持，他们把客户放在首位。我们正在寻找聪明，有创意和热情的人来加入我们。关于角色 我们聘请一名高级或主要产品经理拥有阿苏里昂人工智能技术原生管家的大脑。这个职责是代理人自己的主权 推理运行时间，它如何调整技能，工具和其他代理人和评估系统证明它有用，可信，为真正客户准备好。这是一个实践的产品建设作用。你将把模拟，评估，发射范围和运输代理能力转化为多家公司的复杂家庭问题。你不需要几年拥有"AI PM"标题，但你确实需要快速学习新的技术领域，而不是等待，建立并将两位性变成运送客户价值。在你的第六个月里，你将拥有代理的质量条点：建立评估作为运输决策的真相来源，定义代理到代理配套，并提高 Joy 在我们最具价值家庭旅行中推理的可靠性和广度。责任 ·拥有 Joy 代理推理层端到端 通过模型调用，工具执行和流媒体事件推动代理的运行时间循环 从机会发现和产品论文到发布，采用和回复。·塑造 Joy 如何与更广泛的 Asurion 堆叠互动。·自有评测作为产品质量系统。定义产品质量评估，在线和离线测量，以衡量代理是否有用，可信赖和准备好使用。· 深入与可靠代理架构工程合作：评价带，
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Sr / Principal Product Manager - AI Agent, Orchestration & Evals
Location: Nashville, TN or Remote - USA (Bay area)
About Asurion
The world revolves around technology, and so do we. As a leader in tech care, our core business is providing protection, repair, installation and expert support for all our favorite devices. When tech breaks, we fix it. When it changes, we evolve. It's how Asurion creates meaningful solutions to millions of customers everyday—who choose us because we care.
The work we do is hands-on, collaborative, and most of all: vital. We don't just solve tech problems; we relieve the stress and frustration that comes with them. Our team takes ownership, and they put customers first. We're looking for smart, resourceful and passionate people to join us.
About the Role
We are hiring a Senior or Principal Product Manager to own the brains of — Asurion's AI-native tech concierge. This role owns the agent itself — the reasoning runtime, how it orchestrates across skills, tools, and other agents, and the evaluation systems that prove it is useful, trustworthy, and ready for real customers.
This is a hands-on product-building role. You will turn ambiguous household problems — a cracked tablet, a stalled activation, a claim, an upgrade across multiple carriers — into prototypes, evals, launch scopes, and shipped agent capabilities, working shoulder-to-shoulder with engineering, design, data science, and domain teams.
You do not need years with the title "AI PM," but you do need to learn new technical domains quickly, build instead of wait, and turn ambiguity into shipped customer value. In your first six months, you will own the agent's quality bar end-to-end: establish the eval harness as the source of truth for shipping decisions, define the agent-to-agent orchestration, and raise the reliability and breadth of Joy's reasoning across our highest-value household journeys.
Responsibilities
- Own the Joy agent reasoning layer end-to-end — the runtime loop that advances the agent through model calls, tool execution, and streamed events — from opportunity discovery and product thesis through launch, adoption, and iteration.
- Shape how Joy interoperates with the broader Asurion stack.
- Own evals as the product's quality system. Define product-quality evals — offline and online — that measure whether the agent is useful, trustworthy, and ready for customer use.
- Partner deeply with engineering on reliable agent architecture: evaluation harnesses, observability and tracing, human-in-the-loop controls, guardrails and production readiness.
- Build conviction through working demos, measurable eval results, customer discovery, and clear decision memos.
- Rally domain PMs, design, engineering, data science, field, legal, security, and executives around the decisions needed to ship an agent that is both breakthrough and dependable.
About You
Basic Qualifications
- 8+ years of product management.
- Track record of 0-to-1 product development: you have taken something from concept to first customers, revenue, or measurable business impact.
- Experience using customer evidence, product metrics, and structured judgment to make high-stakes product decisions with incomplete information.
- High agency with modern AI tools: you use tools such as Claude, Cursor, Codex, or equivalents to prototype, analyze, write, test, research, or automate parts of your own product workflow.
Preferred Qualifications
- Hands-on experience building, prototyping, or shipping AI agents, LLM features, agent orchestration, workflow automation, or decision-support systems.
- Strong intuition for agent evaluation and reliability — eval harness design, offline vs. online evals, hallucination and failure-mode analysis, human-in-the-loop design, permissions, auditability, and tracing/observability (e.g., Braintrust, Sentry, LangSmith, or equivalents).
- Experience managing design partner, Early Adopter, or lighthouse customer programs.
- Strong product taste: you can simplify complex, ambiguous household journeys into opinionated, trustworthy agent behavior that customers understand and adopt.
You'll Be a Great Fit If
- You are already building with AI, whether at work, through side projects, prototypes, internal tools, or hands-on experimentation.
- You have strong opinions about where agents should act autonomously, where humans must stay in control, and how to prove the difference with evals rather than assert it.
- You are candid about tradeoffs, including projects you killed, launches that missed, or bets that changed direction because the evidence demanded it.
Originally posted on Himalayas