Application Guide

How to Apply for Senior Product Manager, Emerging Products & AI

at Workiva

🏢 About Workiva

Workiva is a leader in integrated ESG reporting, helping enterprises streamline climate impact and compliance. Its focus on transparency and innovation makes it an exciting place for product leaders who want to shape the future of regulated data management. The remote-first culture and commitment to sustainability further add to its appeal.

About This Role

This role is at the forefront of applying AI to complex enterprise workflows, specifically in finance, compliance, and audit. You'll lead customer discovery, rapid prototyping, and define trust frameworks for AI interactions in a regulated environment. The impact is high: you'll shape emerging product vectors that could transform how companies handle operational data.

💡 A Day in the Life

You might start with a stand-up with engineering and design to review prototype progress, then spend the afternoon interviewing finance compliance teams to map their data workflows. Later, you'd analyze early user feedback to refine KPIs and prepare a hypothesis-driven roadmap for the next sprint.

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Interview Prep

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🎯 Who Workiva Is Looking For

  • Has 6+ years of B2B SaaS product management experience, with deep expertise in enterprise workflow automation or data-intensive products.
  • Possesses a strong conceptual understanding of modern AI (LLMs, multi-agent orchestration, human-in-the-loop design) and can translate that into product requirements.
  • Excels at navigating ambiguity—able to turn vague customer pain points into structured hypotheses and testable prototypes.
  • Demonstrates exceptional product craft, with a focus on user psychology, interface transparency, and building trust in regulated environments.

📝 Tips for Applying to Workiva

1

Highlight specific examples of leading customer discovery in complex enterprise settings (e.g., finance or audit teams).

2

Showcase any experience with AI product features, especially LLMs or agentic systems, and how you ensured transparency/auditability.

3

Tailor your resume to emphasize quantitative KPIs and evidence-driven iteration for early-stage products.

4

Mention familiarity with ESG reporting or regulated industries (e.g., SOX, GDPR) to show domain alignment.

5

Include a portfolio or case study of a product you took from ambiguous problem to launched feature.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your ability to conduct deep customer discovery and system mapping in enterprise environments.', 'Highlight your experience with AI trust frameworks and human-in-the-loop design in regulated settings.', "Show how you've used rapid prototyping and technical validation to de-risk product-market hypotheses.", "Connect your background to Workiva's mission of transparent climate impact and compliance."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Review Workiva's ESG reporting platform and understand how it integrates with finance/audit workflows.
  • → Read about Workiva's recent AI initiatives or partnerships (e.g., any announcements about AI features).
  • → Study the competitive landscape for ESG and compliance software, especially AI-driven solutions.
  • → Familiarize yourself with relevant regulations (e.g., CSRD, SEC climate rules) that impact Workiva's customers.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you led a product from ambiguous customer pain points to a validated hypothesis. How did you approach discovery?
2 How would you define an 'agentic experience' for a finance team? What trust/transparency measures are critical?
3 Walk us through how you'd set KPIs for a nascent product vector with no historical data.
4 Explain your process for collaborating with engineering on rapid prototypes for AI features.
5 How do you ensure AI interactions are auditable and compliant in a regulated environment like ESG reporting?
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⚠️ Common Mistakes to Avoid

  • Being too generic about AI without connecting it to enterprise regulated use cases.
  • Overlooking the importance of trust and transparency—avoid treating AI as a black box.
  • Focusing only on technical AI features without demonstrating customer discovery and problem-solving skills.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Workiva!

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