Principal AI Product Owner

Toppan Merrill • Work From Home, USA-MN, IN

2d • $140,000 - $195,000

About The Position

Toppan Merrill is hiring its first AI-dedicated Product Owner for Quinn, a cloud-based platform used by law firms, investment banks, and public companies to draft, review, and file SEC documents. The role leads product discovery and execution for Quinn’s AI capabilities, translating the broader product strategy into validated solutions and prioritized delivery. The Product Owner partners with engineering, legal, security, sales, customers, and senior stakeholders to develop practical AI solutions for high-stakes financial disclosure workflows.

The position owns and prioritizes the Quinn AI backlog, maintains its roadmap and release priorities, and defines measurable success criteria. It leads customer and design-partner discovery, turns insights into product decisions and development opportunities, and distinguishes problems suited to AI from those better served by conventional product capabilities or workflow changes. It also defines feature scope, acceptance standards, evaluation frameworks, quality thresholds, and responsible handling of customer content, while ensuring alignment with security, compliance, privacy, and governance requirements.

In the first 90 days, the role is expected to establish structured product discovery and begin work with design partners; take ownership of the backlog and priorities; publish pilot scope, success metrics, and acceptance criteria; build stakeholder partnerships; and establish quality standards and decision-making frameworks for AI features. The position offers a competitive annual base pay range of $140,000–$195,000, with actual pay varying based on factors including experience, achievement, business needs, and location.

Requirements

• At least 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.

Nice To Haves

• Experience in legal technology, capital markets, SEC reporting, financial disclosure, compliance software, or another regulated industry.
• 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.

Responsibilities

• Own and prioritize the Quinn AI product backlog.
• Translate client feedback, market insights, and product opportunities into actionable requirements.
• Define and maintain the Quinn AI roadmap, release priorities, and measurable success criteria aligned with the broader Quinn strategy.
• Create user stories, product requirements, and acceptance criteria for engineering teams.
• Balance customer needs, technical feasibility, business priorities, and regulatory requirements in product decisions.
• Lead customer and design-partner discovery to understand workflows, identify unmet needs, validate concepts, and assess product-market fit.
• Turn discovery insights into hypotheses, product decisions, experiments, and prioritized development opportunities.
• Determine which problems warrant AI solutions and which are better addressed through conventional product capabilities or workflow changes.
• Build trusted relationships with attorneys, corporate reporting leaders, and other professional users.
• Define scope, success criteria, and acceptance standards for AI-powered features.
• Establish quality thresholds for AI capabilities used in SEC reporting workflows.
• Define evaluation frameworks and quality thresholds for accuracy, groundedness, completeness, consistency, and appropriate human oversight.
• Partner with Engineering to establish representative evaluation datasets, regression testing, and feedback loops for measuring 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 external commitments are made.
• Collaborate with Legal, Security, and Engineering on handling customer content and sensitive documents.
• Ensure AI capabilities align with security, compliance, privacy, and governance requirements.
• Help shape responsible AI practices in a highly regulated environment.
• Establish structured product discovery for Quinn AI and begin discovery with prospective and confirmed design partners.
• Publish pilot scope, success metrics, and acceptance criteria.
• Build partnerships with Engineering, Legal, Security, and executive stakeholders.
• Establish quality standards and decision-making frameworks for AI-driven features.

Benefits

• Enhanced medical, dental, vision, and life insurance for employees and dependents.
• Employer contribution to 401K.
• Paid time off, including vacation, sick, community involvement, bereavement, jury duty, and holidays.
• Paid parental leave.
• Paid community involvement/volunteer days.
• Wellness resources and Employee Assistance Programming.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed