高级产品经理
Senior Product Manager
你日常的职责包括：
负责你产品领域的愿景、策略和路线图，并对所交付的结果负责
负责你产品领域的AI应用：识别并优先处理值得构建的用例，并愿意在问题更适合不用AI解决时明确表达
定义AI驱动功能的“良好”标准——评估标准、质量门槛，以及能告诉你模型或代理是否真正为客户带来价值的离线和在线度量指标，并确保路线图符合这些标准
与数据科学和ML工程团队合作，将能力从实验阶段带入生产环境，包括安全机制、人机协作设计，以及客户实际会遇到的故障模式
定义并优先处理工作内容——明确在范围、顺序和时间表上的权衡，并向合作伙伴和管理层解释原因
收集客户的声音：主导发现会议，进行研究，并建立对收入团队实际运作方式的第一手理解
建立定义你领域成功的指标，如采用率、质量和业务影响，并利用这些指标引导路线图
跟踪市场、竞争格局和客户反馈，并将其转化为定位和路线图优先级
与产品营销、赋能和财务团队合作，进行发布、定位、定价和包装
推动跨组织的项目，当你的领域依赖于其他产品团队，或被其他产品团队依赖时
我们对你的期望：
7年以上产品管理经验，构建企业或B2B SaaS产品
有推出AI或数据产品的经验，包括LLM驱动的功能、协作者或代理流程，且在发布后对其质量负责
精通现代AI技术栈：模型集成、上下文编排、提示设计、安全机制和评估框架
能够将复杂的AI功能转化为简单的用户体验和可衡量的客户价值
有与工程和数据科学家紧密合作，将模型从实验阶段带入生产环境的实际经验
能够构建商业案例，直接使用数据验证假设，并在不确定性下做出决策
具备客户同理心，并有持续与用户沟通的纪律性
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Your Daily Adventures Will Include:
Owning the vision, strategy, and roadmap for your product area, and being accountable for the outcomes it delivers
Owning the AI application in your product area: identifying and prioritising the use cases worth building, and being willing to say when a problem is better solved without AI
Defining what “good” means for AI-powered capabilities — the evaluation criteria, quality bars, and offline and online measurement that tell you whether a model or agent is genuinely working for customers, and holding the roadmap to those bars
Partnering with data science and ML engineering to take capabilities from experimentation into production, including guardrails, human-in-the-loop design, and the failure modes customers will actually hit
Defining and prioritising the work — making explicit trade-offs on scope, sequencing, and timelines, and explaining the reasoning to partners and leadership
Capturing voice of the customer: leading discovery sessions, running research, and building a first-hand understanding of how revenue teams actually work
Establishing the metrics that define success for your area like adoption, quality, and business impact, and using them to steer the roadmap
Tracking the market, competitive landscape, and customer feedback, and translating them into positioning and roadmap priorities
Working with product marketing, enablement, and finance on launch, positioning, pricing, and packaging
Driving cross-organisational initiatives where your area depends on, or is depended on by, other product teams
Our Vision Of You:
7+ years of product management experience building enterprise or B2B SaaS products
Experience launching AI or data products with LLM-powered capabilities, copilots, or agentic workflows, including ownership of their quality after launch
Fluency in modern AI stacks: model integration, context orchestration, prompt design, guardrails, and evaluation frameworks
A demonstrated ability to translate complex AI capabilities into simple product experiences and measurable customer value
Proven ability to work closely with engineering and data scientists to take models from experimentation to production
Comfortable building a business case, working directly with data to test a hypothesis, and making decisions under uncertainty
Customer empathy, and the discipline to keep talking to users rather than reasoning from assumptions
The ability to set a longer-term strategy for your area while driving meaningful short-term impact, and to bring senior leadership and cross-functional partners along with you
Preferred Qualifications:
Experience with analytics, reporting, or performance-measurement products, or with products that turn behavioural data into recommendations and guidance
Experience building products for go-to-market teams including sales, marketing, revenue operations, or customer success
Experience with conversation intelligence, or with products built on unstructured interaction data
A clear understanding of AI governance, privacy, compliance, and responsible AI principles as they apply to enterprise readiness
Experience working in a distributed product organisation across multiple regions