9 days ago

Director of Product Management, AI/ML

Workiva

Hybrid
Full Time
$230,500
Hybrid

Job Overview

Job TitleDirector of Product Management, AI/ML
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$230,500
LocationHybrid

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Job Description

Director of Product Management, AI/ML at Workiva

As the Director of Product Management, AI/ML, you will lead Workiva’s AI/ML product strategy and execution across our platform. You will own the vision, roadmap, delivery, and go-to-market for AI capabilities that are safe, compliant, and measurably valuable to enterprise customers. You will manage a team of PMs and partner closely with Engineering/ML, Design, Security, Legal, Compliance, and Field teams.

What You'll Do

  • Define the multi-year AI/ML product vision and translate ambiguous opportunities into focused bets with clear success metrics (adoption, quality, cost).
  • Incubate 0→1 and scale 1→N AI features: copilots/agents, document & spreadsheet intelligence, workflow automation, and data intelligence across Workiva surfaces.
  • Establish responsible AI standards (safety, privacy, evaluations, bias testing, and model/feature gating) in partnership with Security, Legal, and Compliance.
  • Build an experimentation and evaluation engine (A/B testing, offline evaluations, red-teaming, human-in-the-loop).
  • Own portfolio outcomes and product economics, including pricing/packaging, usage metering, and inference COGS optimization.
  • Hire, coach, and develop a high-performing Product Management team; raise the bar for PRDs, roadmaps, and product reviews.
  • Drive cross-functional execution with Engineering/ML and Design; align with Sales, Customer Success, and Alliances on enablement and customer evidence.
  • Represent Workiva externally with customers and partners; gather market insight and translate it into roadmap impact.

What You'll Need

Minimum Qualifications
  • 10+ years of relevant experience, including 5+ years building AI/ML-powered products and 4+ years leading PM managers.
  • Demonstrated depth in modern AI (LLMs, retrieval, agents, evaluation, and safety) and enterprise SaaS at scale.
  • Track record of shipping both 0→1 products and scalable platform features.
  • Strong data fluency (analytics, SQL or equivalent, experimentation).
  • Excellent stakeholder leadership and executive communication skills.
Preferred Qualifications
  • Proven experience in regulated or compliance-sensitive domains; hands-on operationalization of Responsible AI.
  • Expertise in pricing and packaging strategies for AI offerings, including add-ons, usage-based, and value-based models.
  • Strong executive presence with public-facing experience, including customer case studies, thought leadership, conference talks, and high-impact storytelling.
  • Deep understanding of model cost-performance trade-offs, including retrieval strategies, latency optimization, and observability in production AI systems.

Travel Requirements & Working Conditions

  • Reliable internet access for any period of time working remotely, not in a Workiva office.
  • Up to 25% travel.

How You’ll Be Rewarded

  • Salary range in the US: $177,000.00 - $284,000.00
  • A discretionary bonus typically paid annually.
  • Restricted Stock Units granted at time of hire.
  • 401(k) match and comprehensive employee benefits package.

Key skills/competency

  • AI/ML Product Strategy
  • Product Vision & Roadmap
  • Team Leadership & Mentorship
  • Generative AI & LLMs
  • Enterprise SaaS
  • Responsible AI Standards
  • Experimentation & Evaluation
  • Product Economics & Pricing
  • Cross-functional Collaboration
  • Executive Communication

Tags:

Product Director, AI/ML
Product Strategy
Roadmap Development
Team Leadership
AI Development
Machine Learning
Go-to-Market
Enterprise SaaS
Responsible AI
Data Intelligence
Cross-functional Leadership
Large Language Models (LLMs)
A/B Testing
Data Analytics
SQL
Cloud Platforms
AI Evaluation
Retrieval Augmented Generation
Model Observability
Pricing Models

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How to Get Hired at Workiva

  • Research Workiva's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight extensive experience in AI/ML product leadership, enterprise SaaS, and regulated domains specifically for Workiva.
  • Showcase AI/ML expertise: Prepare to discuss modern AI concepts like LLMs, agents, evaluation, and safety in depth.
  • Emphasize leadership: Provide concrete examples of managing product managers and driving cross-functional alignment and execution.
  • Demonstrate executive presence: Be ready to share public-facing experience, including case studies and thought leadership.

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