Principal AI Product Owner

Job Description: Shape the Future of AI in Capital Markets and Legal Disclosure At Toppan Merrill, we're building Quinn, a cloud-based platform that helps law firms, investment banks, and public companies draft, review, and file SEC documents, including IPO registration statements, prospectuses, proxy statements, and annual and quarterly reports. We're applying AI to one of the most consequential document workflows in the world, where precision, trust, and accountability matter the most.This is a unique opportunity to join a small, highly visible team and help define the future of AI-assisted financial disclosure. You'll work directly with senior engineering leadership, engage with some of the world's largest law firms, and help shape a product already supported by a working prototype and strong market interest. Most importantly, you'll be the first AI-dedicated Product Owner for Quinn. Your leadership will ensure we're building the right solutions for customers and bringing clarity, prioritization, and rigor to every product decision. Learn more at https://www.toppanmerrill.com/careers/ . About Toppan Merrill What You'll Do 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.