岗位能力对标
Decagon

Senior Agent Product Manager

New York City · 全职 · 产品

岗位更新:2025-08-26资料抓取:2026-08-04查看原始招聘来源

需要对标的能力

Agent · 智能体设计Agent 工程 · Harness / 脚手架AI Infra · 推理部署AI 产品设计 · 产品化

岗位职责与要求

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real judgment, and a partner who can operate at the highest level. This is not a standardized implementation role, and it is not an account management or customer success role. About the Role This role owns the successful delivery, adoption, and expansion of AI solutions for Decagon's customers, serving as the primary technical and strategic owner. You earn trust with the customer's leadership team, scope a solution that solves their problems, and then build the working AI agent. You are the direct owner for each account's agents end-to-end, partnering with our Strategic Account Directors, Agent Strategy Managers and Forward Deployed Engineers to scale the agent in production and grow it into a core part of how the customer's company runs. It is a rare combination: the executive influence of a top strategy consulting leader, the instincts of a product builder, and the ownership of a founder. If you have ever wanted to build the solution instead of hand off the recommendation, this role was designed for you. You own the outcome end to end, on the highest-stakes accounts in the market, with all of Decagon's cross-functional teams behind you. This is a senior individual contributor role. You are trusted to make high-stakes decisions independently and own outcomes, gaining leverage by directing forward deployed engineers and partner teams who own a share of the execution. In this role, you will - Own the technical win on Decagon's largest strategic opportunities, partnering with Sales, Solutions Engineers and Forward-deployed engineers to build working AI agents that turn sophisticated, skeptical buyers into signed customers. - Serve as the executive partner to the C-suite of Fortune 500 companies, defining and driving their AI transformation roadmap and owning the relationship from first conversation through production and expansion. - Design, build, and optimize enterprise-grade AI agents in production, going deep on each customer's workflows, pain points, and goals. - Turn the frameworks and playbooks you develop into reusable assets that scale across accounts and feed directly into Decagon's product roadmap. - Direct Forward-deployed engineers and partner teams to deliver at scale while you stay accountable for the outcome. - Run tight feedback loops into Product and Engineering, shaping the product based on what you learn on the front lines of our most demanding deployments. Your background looks something like this - 6+ years of experience owning ambiguous, high-stakes outcomes and earning the trust of senior executives. This includes engagement managers, project leaders, and senior managers from top consulting firms, as well as product managers, founders, and forward-deployed or solutions roles at high-growth technology companies. - A builder's instinct. You want to design and build the actual solution, not just diagnose the problem or manage someone else who builds it. - Strong technical acumen. You can understand and shape AI agent designs and hold your own in a technical conversation with both engineers and executives. - Executive presence and a track record of becoming a trusted advisor to senior decision-makers at large, complex organizations. - Comfort operating in fast-moving, ambiguous environments where you shape the solution as much as you implement it. Even better - A Computer Science, Engineering, or Math degree, or equivalent hands-on technical experience. - An MBA, or equivalent experience at the intersection of business strategy and technology, is a plus. - Experience selling, deploying, or advising on enterprise software or transformation programs at the Fortune 500 level. Compensation $200K – $285K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
查看中文参考译文
关于 Decagon Decagon 是领先的对话式 AI 平台,赋能每个品牌提供礼宾级客户体验。 我们的技术使行业定义级企业能够部署 AI agents,在语音、聊天、邮件、SMS 及所有其他渠道上实现个性化、深度令人满意的互动,客户包括 Avis Budget Group、Block 旗下的 Cash App 和 Square、Chime、Oura Health 和 Hunter Douglas。 我们正在构建一个客户体验被重新定义的未来——从 support tickets 和 hold music 转向更快的解决、更丰富的对话和更深的关系。我们很自豪能得到世界级投资者的支持,他们共享这一愿景,包括 a16z、Accel、Bain Capital Ventures、Coatue 和 Index Ventures 等。 我们是一家要求到岗办公的公司,以追求卓越和速度为共同承诺。我们的价值观——Just Get It Done、Invent What Customers Want、Winner's Mindset 和 The Polymath Principle——塑造着我们的工作和团队成长方式。 关于团队 当一家 Fortune 500 的 C-suite 选择 Decagon 时,他们购买的不是一个 support tool。他们购买的是其客户体验品牌的端到端转型。Agent Product Managers 就是他们信赖来实现这一转型的人。 你的 counterpart 是 C-suite,他们要求你转型的是其整个客户体验。你定义 roadmap、frameworks 和 decision-making models,让自上而下的转型成为值得押注的安全选择。你从第一次 pre-sales conversation 开始,贯穿 account 的整个生命周期,始终维系这一关系。 这种工作的复利效应是大多数角色所不具备的。你主导的每一次 flagship deployment 都直接融入我们的 playbooks,提升后续每一次 build 的质量。你在 account 上获得的 hard-won lessons 成为全公司的 leverage,你创造的 IP 超越任何 single agent。 这些是市场上最大、最复杂的企业。它们需要深度 customization、真正的判断力,以及能够在最高层面运作的合作伙伴。这不是一个标准化的 implementation role,也不是 account management 或 customer success role。 关于职位 该职位负责 Decagon 客户 AI 解决方案的成功交付、adoption 和 expansion,担任主要的技术和战略 owner。你赢得客户 leadership team 的信任,界定解决其问题的方案,然后 build 出可运行的 AI agent。你是每个 account 的 agents 端到端的直接 owner,与我们的 Strategic Account Directors、Agent Strategy Managers 和 Forward Deployed Engineers 合作,将 agent 在 production 中 scale,并使其成长为客户的运营核心。 这是一种罕见的组合:顶级战略咨询领导的 executive influence、product builder 的 instinct,以及 founder 的 ownership。如果你曾经想要 build 解决方案而非仅仅 hand off recommendation,这个角色就是为你设计的。你在市场上最高风险的 accounts 上端到端 own the outcome,Decagon 的所有 cross-functional teams 都在你身后支持。 这是一个 senior individual contributor role。你被信任能够独立做出高风险的决策并 own outcomes,通过指导 forward deployed engineers 和 partner teams 来获得 leverage,他们拥有部分执行权。 在这个职位上,你将 - 在 Decagon 最大的战略机会上 own the technical win,与 Sales、Solutions Engineers 和 Forward-deployed engineers 合作,build 可运行的 AI agents,将复杂、审慎的买家转化为签约客户。 - 作为 Fortune 500 公司 C-suite 的 executive partner,定义并推动其 AI transformation roadmap,从第一次 conversation 到 production 和 expansion,拥有整个关系。 - 在 production 中设计、build 和优化 enterprise-grade AI agents,深入每个客户的 workflows、pain points 和 goals。 - 将你开发的 frameworks 和 playbooks 转化为可复用的 assets,在 accounts 间 scale,并直接 feed into Decagon 的 product roadmap。 - 指导 Forward-deployed engineers 和 partner teams 实现规模化交付,同时你对 outcome 保持 accountable。 - 与 Product 和 Engineering 建立紧密的 feedback loops,基于你在最 demanding deployments 前线学到的经验来 shape the product。 你的背景大致如下 - 6 年以上拥有模糊、高风险 outcomes 并赢得 senior executives 信任的经验。这包括 engagement managers、project leaders 和顶级咨询公司的 senior managers,以及高增长科技公司的 product managers、founders 和 forward-deployed 或 solutions roles。 - Builder 的 instinct。你想要 design 和 build 实际的解决方案,而非仅仅诊断问题或管理他人来 build。 - 强大的技术敏锐度。你能够理解并塑造 AI agent designs,在与工程师和高管的 technical conversation 中都能 hold your own。 - Executive presence,并有成为大型复杂组织 senior decision-makers 的 trusted advisor 的 track record。 - 适应在快速变化、模糊的环境中运作,你在其中塑造解决方案的程度与实施它相当。 加分项 - Computer Science、Engineering 或 Math 学位,或同等的 hands-on technical experience。 - MBA,或在 business strategy 和 technology 交叉领域的同等经验。 - 在 Fortune 500 级别销售、部署或咨询 enterprise software 或 transformation programs 的经验。 薪酬 $200K – $285K + 提供 Equity 福利 我们为全职员工自豪地提供以下福利: - 为你和你的家人提供 Medical、Dental 和 Vision benefits - Life Insurance 和 Disability Benefits - Retirement Plan(例如 401K、pension) - 通过 Carrot 提供的 Fertility 和 family building benefits - 每月 stipend 支持你的 wellness、lifestyle 和 work-life balance - 办公室每日午餐和零食,让你保持最佳状态 - Take what you need vacation policy(根据当地要求;UK 员工享有 25 天 statutory leave) 这些福利在 Decagon 的政策中有更详细的描述,可能因地点而异,并可根据适用的 compensation 和 benefits plans 随时变更。

译文仅供辅助阅读,具体要求以原始招聘来源为准。