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Director of Product Management, AI/ML

WorkivaAmes, Iowa

$177,000 - $284,000 / year

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Overview

Schedule
Full-time
Career level
Executive
Remote
Remote
Compensation
$177,000-$284,000/year
Benefits
Career Development
Retirement Savings

Job Description

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

  • 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. Proven experience in regulated or compliance-sensitive domains, with a strong track record of operationalizing Responsible AI at scale

  • 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

  • Public customer evidence (case studies, talks) and strong writing/storytelling

  • Strong executive presence with public-facing experience, including customer case studies, thought leadership, conference talks, and high-impact storytelling

  • Familiarity with cost/performance trade-offs in model selection, retrieval, latency, and observability

  • 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

The 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 talentacquisition@workiva.com.

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.

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FAQs About Director of Product Management, AI/ML Jobs at Workiva

What is the work location for this position at Workiva?
This job at Workiva is located in Ames, Iowa, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Workiva?
Candidates can expect a pay range of $177,000 and $284,000 per year.
What employment applies to this position at Workiva?
Workiva lists this role as a Full-time position.
What experience level is required for this role at Workiva?
Workiva is looking for a candidate with "Executive" experience level.
Does Workiva allow remote work for this role?
Yes, this position at Workiva supports remote work, giving candidates the flexibility to work outside the primary office location.
What benefits are offered by Workiva for this role?
Workiva offers following benefits: Career Development and Retirement Savings for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Workiva?
You can apply for this role at Workiva either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.