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Workiva

Senior Product Manager, Emerging Products & AI

RemoteUnited States only
Published
Role
Product
Experience
Senior
$129k–$207k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior product manager with 6+ years in product management or technical product-building, focused on B2B SaaS, enterprise workflow automation, data-intensive products, and AI-native products. Needs strong applied AI understanding, including LLMs, multi-agent orchestration, and human-in-the-loop design, plus experience turning ambiguous user problems into requirements and validation roadmaps. US remote role with up to 20% travel.

Core skills

AILLMs

Optional skills

APIsAI/ML servicesAI tools

What you'll do

  • 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 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.
  • 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.
  • Translate complex enterprise compliance anxieties into intuitive, high-trust agentic experiences.
  • 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.
  • 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.
  • 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.
  • 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.
  • Conduct open, evidence-driven retrospectives on experimental features to constantly iterate on team strategy.

What they require

  • 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.
  • Preferred: Ability to understand how modern software products are structured, including APIs, front-end experiences, back-end services, data flows, AI/ML services, and integrations, and to use modern AI tools to explore, prototype, and work effectively with engineering.
  • Preferred: Advanced degree.
  • Preferred: Background working within deeply regulated domains, e.g., corporate accounting, financial auditing, compliance reporting, risk management, legal operations, or ESG/sustainability tracking.
  • Ability to travel up to 20% to facilitate customer discovery workshops, align with internal distributed product teams, and represent Workiva at key industry conferences.
  • Reliable internet access during any remote work outside a Workiva office.
  • Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Benefits

  • A discretionary bonus typically paid annually.
  • Restricted Stock Units granted at time of hire.
  • 401(k) match and comprehensive employee benefits package.
  • Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
  • Reasonable accommodations to applicants with disabilities.

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on.

🇺🇸 United StatesSaaSEnterpriseworkiva.com
$129k–$207k/yr