As the AI/ML Director of Product Management, 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 <ul><li>Define the multi-year AI/ML product vision and translate ambiguous opportunities into focused bets with clear success metrics (adoption, quality, cost).</li><li>Incubate 0→1 and scale 1→N AI features: copilots/agents, document &amp; spreadsheet intelligence, workflow automation, and data intelligence across Workiva surfaces.</li><li>Establish responsible AI standards (safety, privacy, evaluations, bias testing, and model/feature gating) in partnership with Security, Legal, and Compliance.</li><li>Build an experimentation and evaluation engine (A/B testing, offline evaluations, red-teaming, human-in-the-loop).</li><li>Own portfolio outcomes and product economics, including pricing/packaging, usage metering, and inference COGS optimization.</li><li>Hire, coach, and develop a high-performing Product Management team; raise the bar for PRDs, roadmaps, and product reviews</li><li>Drive cross-functional execution with Engineering/ML and Design; align with Sales, Customer Success, and Alliances on enablement and customer evidence</li><li>Represent Workiva externally with customers and partners; gather market insight and translate it into roadmap impact  </li></ul>What You'll NeedMinimum Qualifications<ul><li>10+ years of relevant experience, including 5+ years building AI/ML-powered products and 4+ years leading PM managers</li><li>Demonstrated depth in modern AI (LLMs, retrieval, agents, evaluation, and safety) and enterprise SaaS at scale.</li><li>Track record of shipping both 0→1 products and scalable platform features.</li><li>Strong data fluency (analytics, SQL or equivalent, experimentation).</li><li>Excellent stakeholder leadership and executive communication skills.  </li></ul>Preferred Qualifications<ul><li> Proven experience in regulated or compliance-sensitive domains; hands-on operationalization of Responsible AI. Proven experience in regulated or compliance-sensitive domains, with a strong track record of operationalizing Responsible AI at scale</li><li>Expertise in pricing/packaging for AI add-ons or usage-based models. Expertise in pricing and packaging strategies for AI offerings, including add-ons, usage-based, and value-based models</li><li>Public customer evidence (case studies, talks) and strong writing/storytelling</li><li>Strong executive presence with public-facing experience, including customer case studies, thought leadership, conference talks, and high-impact storytelling</li><li>Familiarity with cost/performance trade-offs in model selection, retrieval, latency, and observability</li><li>Deep understanding of model cost-performance trade-offs, including retrieval strategies, latency optimization, and observability in production AI systems   </li></ul>Travel Requirements &amp; Working Conditions <ul><li>Reliable internet access for any period of time working remotely, not in a Workiva office</li><li>Up to 25% travel</li></ul>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 packageThe 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.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 <a href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>.  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.#LI-LP1

Workiva is on a mission to power transparent reporting for a better world. We build and deliver the world&rsquo;s leading cloud platform for assured integrated reporting to meet stakeholder demands for action, transparency, and disclosure of financial and non-financial data. Workiva offers the only unified SaaS platform that brings customers&rsquo; financial reporting, Environmental, Social, and Governance (ESG), and Governance, Risk, and Compliance (GRC) together in a controlled, secure, audit-ready platform. Our platform simplifies the most complex reporting and disclosure challenges by streamlining processes, connecting data and teams, and ensuring consistency. Learn more at workiva.com.

Director of Product Management, AI/ML

As the AI/ML Director of Product Management, 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 <ul><li>Define the multi-year AI/ML product vision and translate ambiguous opportunities into focused bets with clear success metrics (adoption, quality, cost).</li><li>Incubate 0→1 and scale 1→N AI features: copilots/agents, document &amp; spreadsheet intelligence, workflow automation, and data intelligence across Workiva surfaces.</li><li>Establish responsible AI standards (safety, privacy, evaluations, bias testing, and model/feature gating) in partnership with Security, Legal, and Compliance.</li><li>Build an experimentation and evaluation engine (A/B testing, offline evaluations, red-teaming, human-in-the-loop).</li><li>Own portfolio outcomes and product economics, including pricing/packaging, usage metering, and inference COGS optimization.</li><li>Hire, coach, and develop a high-performing Product Management team; raise the bar for PRDs, roadmaps, and product reviews</li><li>Drive cross-functional execution with Engineering/ML and Design; align with Sales, Customer Success, and Alliances on enablement and customer evidence</li><li>Represent Workiva externally with customers and partners; gather market insight and translate it into roadmap impact  </li></ul>What You'll NeedMinimum Qualifications<ul><li>10+ years of relevant experience, including 5+ years building AI/ML-powered products and 4+ years leading PM managers</li><li>Demonstrated depth in modern AI (LLMs, retrieval, agents, evaluation, and safety) and enterprise SaaS at scale.</li><li>Track record of shipping both 0→1 products and scalable platform features.</li><li>Strong data fluency (analytics, SQL or equivalent, experimentation).</li><li>Excellent stakeholder leadership and executive communication skills.  </li></ul>Preferred Qualifications<ul><li> Proven experience in regulated or compliance-sensitive domains; hands-on operationalization of Responsible AI. Proven experience in regulated or compliance-sensitive domains, with a strong track record of operationalizing Responsible AI at scale</li><li>Expertise in pricing/packaging for AI add-ons or usage-based models. Expertise in pricing and packaging strategies for AI offerings, including add-ons, usage-based, and value-based models</li><li>Public customer evidence (case studies, talks) and strong writing/storytelling</li><li>Strong executive presence with public-facing experience, including customer case studies, thought leadership, conference talks, and high-impact storytelling</li><li>Familiarity with cost/performance trade-offs in model selection, retrieval, latency, and observability</li><li>Deep understanding of model cost-performance trade-offs, including retrieval strategies, latency optimization, and observability in production AI systems   </li></ul>Travel Requirements &amp; Working Conditions <ul><li>Reliable internet access for any period of time working remotely, not in a Workiva office</li><li>Up to 25% travel</li></ul>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 packageThe 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.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 <a href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>.  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.#LI-LP1

Director of Product Management, AI/ML

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Workiva

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