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# Principal AI Product Owner

- **Company:** Toppan Merrill
- **Location:** Angier, NC, United States
- **Experience:** Expert
- **Salary:** $140,000 - $195,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Law Practice Management Software, Software as a Service, Cloud Computing, Machine Learning, Software Product Management, Regression Testing, B2b Software
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/principal-ai-product-owner-angier-nc--fc102de1-8ef8-469f-b2e9-13aec670e361

## About the Role

* 7+ years of product management or product ownership experience delivering B2B software solutions.
 * Experience launching AI, machine learning, or intelligent automation capabilities for professional users.
 * Strong experience writing product requirements, user stories, and acceptance criteria.
 * Proven ability to work directly with engineering teams to deliver complex products.
 * Exceptional communication and stakeholder management skills.
 * Ability to build credibility with senior, detail-oriented professional audiences., * Experience in legal technology, capital markets, SEC reporting, financial disclosure, compliance software, or other regulated industries.
 * Experience leading design partner, beta, pilot, or early-access customer programs.
 * Familiarity with how law firms evaluate and approve technology, including security reviews, data privacy considerations, and vendor risk assessments.
 * Experience working with SaaS and cloud-based enterprise platforms.

## Description

As Principal Product Owner, you will lead product discovery and product execution for Quinn's AI capabilities, translating Quinn's broader product strategy into validated AI solutions and prioritized delivery.

You'll partner closely with engineering, legal, security, sales, and customers to translate market needs into innovative, practical solutions that professionals can trust.

Product Strategy & Ownership

 * Own and prioritize the Quinn AI product backlog.
 * Transform client feedback, market insights, and emerging product opportunities into clear, actionable requirements.
 * Define and maintain the Quinn AI roadmap, release priorities, and measurable success criteria in alignment with the broader Quinn product strategy.
 * Create detailed user stories, requirements, and acceptance criteria that enable engineering teams to deliver high-quality solutions.
 * Balance customer needs, technical feasibility, business priorities, and regulatory requirements when making product decisions.

Customer & Partner Engagement

 * Lead product discovery with customers and design partners to understand workflows, identify unmet needs, validate concepts, and assess product-market fit.
 * Translate discovery insights into hypotheses, product decisions, experiments, and prioritized development opportunities."
 * Distinguish problems that warrant AI solutions from those better addressed through conventional product capabilities or workflow changes.
 * Build trusted relationships with attorneys, corporate reporting leaders, and other detail-oriented professional users.

AI Product Delivery

 * Define the scope, success criteria, and acceptance standards for AI-powered features.
 * Establish quality thresholds for capabilities that attorneys and financial professionals will rely on in critical SEC reporting workflows.
 * Define evaluation frameworks and quality thresholds for AI capabilities, including accuracy, groundedness, completeness, consistency, and appropriate human oversight."
 * Partner with Engineering to establish representative evaluation datasets, regression testing, and feedback loops that measure AI quality over time.
 * Define what AI features should and should not do within customer documents.
 * Partner with engineering leadership to establish realistic timelines and delivery commitments.
 * Review and approve product scope and release plans before commitments are shared externally.

Security, Compliance & Governance

 * Collaborate with Legal, Security, and Engineering teams to define appropriate handling of customer content and sensitive documents.
 * Ensure AI capabilities align with security, compliance, privacy, and governance requirements.
 * Help shape responsible AI practices within a highly regulated environment.

What Success Looks Like in Your First 90 Days

 * Establish a structured product discovery approach for Quinn AI and begin discovery with prospective and confirmed design partners.
 * Take ownership of the Quinn AI backlog and establish clear product priorities aligned with the broader Quinn roadmap.
 * Define and publish pilot scope, success metrics, and acceptance criteria.
 * Build strong partnerships with Engineering, Legal, Security, and executive stakeholders.
 * Establish quality standards and decision-making frameworks for AI-driven features.