Senior Product Manager, Emerging Products – AI

🕒 July 11

🇺🇸 United States – Remote

💵 $129k - $207k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• 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 • 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 • 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).

🎯 Requirements

• 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 patterns. • Proven experience translating highly ambiguous, unstructured user pain points into structured technical requirement documentation, validation roadmaps, and testable hypotheses • Exceptional product craft with a deep focus on user psychology, interface transparency, and building high-trust solutions in risk-averse environments.

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package