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 prod…
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Lead the zero-to-one validation of AI-native products by transforming complex customer challenges into high-trust enterprise solutions. This includes conducting deep customer discovery, developing technical prototypes, and architecting secure agentic experiences for regulated environments.
Requirements
Requires 6+ years of product management experience (or 4+ with an advanced degree) with a track record in B2B SaaS or data-intensive products. Candidates must possess a strong conceptual understanding of LLMs and the ability to translate ambiguous pain points into structured technical requirements.
Full job description
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 patterns. You know what AI can do for a user, and how to design experiences around it
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 Qualifications
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
Advanced degree
Background working within deeply regulated domains (e.g., corporate accounting, financial auditing, compliance reporting, risk management, legal operations, or ESG/sustainability tracking)
Working Conditions & Travel Requirements
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
How You’ll Be Rewarded
✅ Salary range in the US: $129,000.00 - $207,000.00
✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Why Join Workiva
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. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
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Related keywords
Artificial IntelligenceLarge Language ModelsLLMMulti-agent OrchestrationSaaSEnterprise ComplianceRetoolStreamlitPythonSQLMVPAgentic ExperienceFinancial AuditingRisk ManagementESGSustainability Tracking
Workiva Inc. (NYSE: WK) powers trust, transparency, and accountability. Finance, accounting, sustainability, risk and audit teams from more than 6,600 organizations, including over 85% of Fortune 1,000 companies rely on Workiva for their mission-critical work. We transform how customers connect data, unify processes, and empower teams in a secure, audit-ready, AI-powered collaborative platform. Learn more at workiva.com.
Offices: 2900 University Blvd, Ames, Iowa 50010, US · 104 E Main St, Bozeman, Montana 59715, US · 385 Meeting Street, Suite 100, Charleston, South Carolina 29403, US · 1700 Platte St., Suite 200, Denver, Colorado 80202, US · 140 South 4th Street West, Unit #2, Missoula, Montana 59801, US
Government ReportingInternal ControlsSection 16SEDAR ReportingSOXSEC ReportingCCAR/Stress TestsEnterprise Risk ManagementEnvironmental Health and SafetyORSA
Workiva Inc. (NYSE: WK) powers trust, transparency, and accountability. Finance, accounting, sustainability, risk and audit teams from more than 6,600 organizations, including over 85% of Fortune 1,000 companies rely on Workiva for their mission-critical work. We transform how customers connect data, unify processes, and empower teams in a secure, audit-ready, AI-powered collaborative platform. Learn more at workiva.com.
Offices: 2900 University Blvd, Ames, Iowa 50010, US · 104 E Main St, Bozeman, Montana 59715, US · 385 Meeting Street, Suite 100, Charleston, South Carolina 29403, US · 1700 Platte St., Suite 200, Denver, Colorado 80202, US · 140 South 4th Street West, Unit #2, Missoula, Montana 59801, US
Government ReportingInternal ControlsSection 16SEDAR ReportingSOXSEC ReportingCCAR/Stress TestsEnterprise Risk ManagementEnvironmental Health and SafetyORSA