Principal AI Product Owner
Toppan Merrill
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. 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. Own and prioritize the Quinn AI product backlog.
- 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.
- 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.
- 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.
- 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.
- Take ownership of the Quinn AI backlog and establish clear product priorities aligned with the broader Quinn roadmap.
- Build strong partnerships with Engineering, Legal, Security, and executive stakeholders.
- Establish quality standards and decision-making frameworks for AI-driven features.
- Experience launching AI, machine learning, or intelligent automation capabilities for professional users.
- Strong experience writing product requirements, user stories, and acceptance criteria.
- 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.
- Paid time off including vacation, sick, community involvement, bereavement, jury duty, and holidays.
- Paid community involvement/volunteer days
- Wellness Resources and Employee Assistance Programming
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