Senior Product Manager, Emerging Products & AI

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Workiva 's Growth organization is building the next generation of AI-native products. We are seeking a Senior Product Manager, to transform ambiguous, complex customer challenges into validated, high-trust enterprise product solutions. In this role, you will champion early product spaces from inception to evaluation: uncovering systemic customer challenges, developing rapid technical prototypes, determining where artificial intelligence drives measurable value, and validating product-market fit with clear evidence before scaling. This is a technical, zero-to-one validation role focused on systemic exploration rather than static roadmap maintenance. Your core challenge will be architecting probabilistic AI experiences that deliver high utility while maintaining strict predictability, data security, and user safety within a highly regulated, high-trust enterprise compliance environment. What You’ll Do Deep Customer Discovery System Mapping: Lead qualitative user interviews, observational workflow walk-throughs, and technical discovery sessions to analyze how enterprise finance, compliance, and audit teams manage complex operational data. Diagram enterprise dependency structures, human-to-system handoffs, multi-stakeholder approval gates, and historical operational failure points Hypothesis Formulation Strategic Betting: Synthesize messy, fragmented user signals into structured, reusable problem definitions rather than one-off custom feature requests. Translate field observations into precise product-market hypotheses, defining the explicit customer value, repeatability, and expected business impact of your proposed AI workflow interventions Rapid Prototyping Technical Validation: Collaborate closely with design and engineering partners to develop, script, and launch low- and high-fidelity validation concepts (utilizing tools like SQL, Python, Retool, or Streamlit). Establish clear Minimum Viable Product (MVP) boundaries, explicit non-goals, and concrete validation timelines to decisively recommend whether to scale, pivot, or sunset an early-stage product vector Agentic Experience Trust Frameworks: Translate complex enterprise compliance anxieties into intuitive, high-trust agentic experiences. You will define the interaction paradigms that dictate how autonomous agents collaborate with humans—ensuring the product interface clearly signals when an AI is making a probabilistic recommendation versus when deterministic rules apply. You will champion the design of elegant human-in-the-loop touchpoints that allow users to easily audit, verify, and approve AI-driven outcomes without sacrificing workflow momentum Agentic Boundary Security Governance: Formulate, model, and implement digital authority boundaries for autonomous enterprise AI agents. Design enterprise-grade, permission-aware access policies that precisely define what an agent can read, summarize, compile, update, escalate, or execute, ensuring absolute auditability under active corporate compliance guidelines Cross-Functional Alignment Performance Analysis: Act as the central, transparent product leader connecting technical engineering workflows, UX design iterations, data security requirements, and go-to-market (GTM) pilot rollouts. Establish the core quantitative Key Performance Indicators (KPIs) that track early feature adoption, and conduct open, evidence-driven retrospectives on experimental features to constantly iterate on team strategy What You’ll Need Minimum Qualifications 6+ years of experience in product management or a closely related technical product-building role with a Bachelor’s degree; OR 4+ years of experience with an Advanced Degree Demonstrated track record managing B2B SaaS applications, enterprise workflow automation software, data-intensive products, or corporate business tools Strong conceptual understanding of the modern applied AI landscape, including Large Language Model (LLM) capabilities, multi-agent orchestration, and human-in-the-loop design

Workiva 的增长组织正在构建下一代 AI 原生（AI-native）产品。我们正在寻找一位高级产品经理（Senior Product Manager），将模糊、复杂的客户挑战转化为经过验证、高信任度的企业产品解决方案。在这个角色中，你将主导早期产品空间从构思到评估的全过程：发现系统性的客户挑战，开发快速技术原型，确定人工智能在哪些方面能驱动可衡量的价值，并在规模化之前以明确的证据验证产品市场契合度（product-market fit）。这是一个技术性的、从零到一（zero-to-one）的验证角色，专注于系统性探索，而非静态的路线图维护。你的核心挑战将是设计概率性 AI 体验（probabilistic AI experiences），在高度受监管、高信任度的企业合规环境中提供高实用性，同时保持严格的可预测性、数据安全性和用户安全性。

**你将做什么**

**深度客户发现与系统映射：** 主导定性用户访谈、观察性工作流程走查和技术发现会议，分析企业财务、合规和审计团队如何管理复杂的运营数据。绘制企业依赖结构、人机交接、多利益相关方审批关卡以及历史运营故障点。

**假设构建与战略押注：** 将杂乱、碎片化的用户信号综合为结构化、可复用的问题定义，而非一次性的定制功能请求。将现场观察转化为精确的产品市场假设，明确你所提议的 AI 工作流干预的客户价值、可重复性和预期业务影响。

**快速原型与技术验证：** 与设计和工程伙伴紧密合作，开发、编写脚本并启动低保真和高保真验证概念（利用 SQL、Python、Retool 或 Streamlit 等工具）。建立清晰的最小可行产品（MVP）边界、明确的非目标和具体的验证时间线，以果断建议是扩展、转向还是终止某个早期产品方向。

**代理式体验信任框架：** 将复杂的企业合规焦虑转化为直观、高信任度的代理式体验（agentic experiences）。你将定义交互范式，决定自主代理（autonomous agents）如何与人类协作——确保产品界面清晰地表明 AI 何时在做出概率性建议，何时适用确定性规则。你将主导设计优雅的人在回路（human-in-the-loop）触点，使用户能够轻松审计、验证和批准 AI 驱动的结果，同时不牺牲工作流 momentum。

**代理边界安全治理：** 为自主企业 AI 代理制定、建模并实施数字权限边界。设计企业级、权限感知的访问策略，精确界定代理可以读取、总结、编译、更新、升级或执行的内容，确保在活跃的企业合规准则下实现绝对的可审计性。

**跨职能对齐与绩效分析：** 作为核心、透明的产品领导者，连接技术工程工作流、UX 设计迭代、数据安全需求和上市（GTM）试点推广。建立跟踪早期功能采用率的核心量化关键绩效指标（KPI），并对实验性功能开展开放、证据驱动的回顾，以持续迭代团队策略。

**你需要具备**

**最低资格**

6 年以上产品管理或密切相关的技术产品构建角色经验，并持有学士学位；或 4 年以上经验并持有高级学位。

具有管理 B2B SaaS 应用、企业工作流自动化软件、数据密集型产品或企业业务工具的可靠业绩记录。

对现代应用 AI 领域有较强的概念性理解，包括大型语言模型（LLM）能力、多代理编排（multi-agent orchestration）和人在回路设计（human-in-the-loop design）。

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准