Director of Product Management, AI/ML

November 21

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Logo of Workiva

Workiva

SaaS • Finance • Compliance

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

1001 - 5000 employees

Founded 2008

☁️ SaaS

💸 Finance

📋 Compliance

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package

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