Application Guide

How to Apply for Senior AI Product Manager

at Workiva

🏢 About Workiva

Workiva is a leader in integrated ESG reporting, helping organizations streamline climate impact and compliance. Their focus on transparency and sustainability makes them a mission-driven company where your work directly contributes to global environmental goals. The remote-first culture and emphasis on innovation in AI/ML add to its appeal.

About This Role

As Senior AI Product Manager, you'll lead the execution and lifecycle of AI/ML capabilities within Workiva's platform, translating complex AI into tangible customer value. This role is impactful because you'll shape the product vision for AI features that simplify ESG reporting for enterprises, driving both business growth and positive environmental change.

💡 A Day in the Life

Your day might start with a stand-up with data scientists and engineers to review AI model performance and upcoming sprints. Mid-morning, you'd meet with ESG domain experts to validate customer pain points, then spend the afternoon drafting a product roadmap for AI features that automate data collection. You'd also prepare a go-to-market presentation for a new AI launch, aligning with marketing and sales teams.

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Interview Prep

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🎯 Who Workiva Is Looking For

  • A seasoned product manager with 6+ years in software development, specifically in B2B SaaS or enterprise software, and a track record of shipping products with strong market adoption.
  • Has 2-3+ years focused on AI/ML products, with hands-on experience collaborating with data science and engineering teams to deliver AI features that solve real customer problems.
  • Holds a technical degree (CS, Engineering, Data Science) and can bridge the gap between complex AI concepts and customer needs, especially in regulated industries like ESG.
  • A strategic thinker who can develop product vision and roadmaps aligned with company objectives, while also driving go-to-market strategies and stakeholder engagement.

📝 Tips for Applying to Workiva

1

Highlight specific AI/ML products you've shipped in B2B SaaS, emphasizing market adoption metrics (e.g., user growth, revenue impact).

2

Tailor your resume to show experience with regulated industries or compliance-heavy software, as Workiva's ESG focus requires understanding of standards like GRI, SASB, or TCFD.

3

In your cover letter, connect your AI product experience to sustainability outcomes—e.g., how AI can simplify data collection for carbon accounting.

4

Prepare a portfolio or case study of an AI product you led, detailing how you balanced technical feasibility with customer value and business goals.

5

Research Workiva's current AI capabilities (e.g., Wdesk AI) and mention specific ideas for improvement or new features in your application.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your experience leading AI/ML products from concept to launch in enterprise settings, with measurable results.', 'Show understanding of ESG reporting challenges and how AI can address them (e.g., automating data extraction, ensuring accuracy).', 'Highlight your ability to collaborate with cross-functional teams (data science, engineering, design) to deliver high-performance tools.', "Mention your enthusiasm for Workiva's mission and how your skills align with their goal of making sustainability reporting transparent and efficient."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Workiva's latest ESG report and press releases to understand their current product offerings and strategic priorities.
  • → Explore their AI-related blog posts or webinars, especially on Wdesk AI or natural language processing for reporting.
  • → Familiarize yourself with key ESG reporting frameworks (GRI, SASB, TCFD) and how Workiva integrates them.
  • → Check LinkedIn for profiles of current AI PMs or data scientists at Workiva to understand team dynamics and expectations.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you prioritize AI features for an ESG reporting platform given limited resources?
2 Describe a time you failed with an AI product and what you learned.
3 How do you ensure AI models are explainable and compliant with regulations (e.g., EU AI Act)?
4 How would you measure the success of an AI feature in a B2B SaaS product?
5 What's your approach to gaining buy-in from stakeholders for a new AI initiative?
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⚠️ Common Mistakes to Avoid

  • Don't focus solely on technical AI details without linking them to customer value or business outcomes.
  • Avoid generic product management experience; emphasize AI/ML and enterprise B2B SaaS specifically.
  • Don't neglect the ESG context—failing to show understanding of sustainability reporting could signal misalignment with company mission.

📅 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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