• Own the delivery and evolution of the AI apparatus, including systems, capabilities, and tooling that support scalable AI solution development. • Determine the appropriate role -- player or coach -- for each AI capability based on strategic importance, technical complexity, and product ownership. • As a player: Lead discovery efforts and define requirements for AI apparatus features. • Write user stories and collaborate with engineering to ensure solutions are viable, scalable, and aligned with market needs. • Monitor product adoption, feature performance, AI prompt quality, and ongoing costs, adjusting and improving over time. • As a coach: Empower Product Managers to build AI-driven features using pre-built AI apparatuses. • Provide training, best practices, processes, and hands-on partnership to support successful AI solution development. • Establish and maintain frameworks for responsible AI development, ensuring ethical use, compliance, and transparency. • Lead internal education efforts on AI concepts, tools, and methodologies to elevate AI capability across the product organization. • Define best practices for AI cost management, including understanding cost drivers, managing the AI product catalog, and helping Product Managers assess and forecast the costs of their AI solutions. • Continuously monitor AI industry trends, emerging technologies, and competitive movements to inform strategy and drive innovation. • Define scalable approaches for model lifecycle management, data governance, monitoring, and operationalization of AI features. • Support incremental, iterative delivery of AI advancements while positioning the organization for long-term innovation. • Potentially expand responsibilities over time to include building and leading a team of AI Product Analysts.

• Owns the 12-month product roadmap and align the scrum team around delivery of high value business outcomes. • Researches and identifies emerging market and technology needs to influence the market roadmap and promote innovation and differentiation. • Uses data to validate roadmap prioritization and proposed solution builds. • Ensures that we are solving the right problems and that these problems are worth solving. • Builds deep business domain and user and client expertise to identify product and market opportunities. • Acts as the subject matter expert for their assigned product and market. • Translates business requirements into technical requirements. • Documents requirements in the form of user stories to create a shared understanding with Engineering teams. • Develops, refines, and documents other product artifacts (Ex: Visual collaboration documents, Lucid Chart workflows, etc.) • In partnership with Engineering, Design and Architecture teams, builds system designs. • Validates all product & engineering artifacts (User Stories/Acceptance Criteria, Visual Collaboration documents, design documents, etc.) to ensure risks to value, viability, feasibility, and usability are addressed upfront. • Participates in quarterly release planning activities, driving direction and prioritization for each quarter. • Serves as the product owner of the scrum team to plan the work of the team and resolve in-sprint issues. • Acts as a ruthless “prioritizer” while balancing the needs of clients and stakeholders. • Performs necessary backlog maintenance, such as identifying escalated feature or bug requests and preparing them for upcoming sprints. • In partnership with Engineering, Design and Architecture teams, builds system designs; Validates all system designs that impact your product. • In conjunction with the Product Analyst, oversees that the totality of delivered user stories meet the epic’s definition of done. • Serves as the day-to-day contact for the team on clarification of requirements and drives the teams’ refinement ceremony. • Acts as the product point of contact for all sprint ceremonies: sprint planning, refinement, sprint demo, retrospective, etc. • Ensures backlog health meets the demands of the team as set/determined by Product Leadership. • Performs functional testing and confirm sprint demos to ensure delivery of quality software. • Partners with business stakeholders to align to strategic long-term roadmaps and ensure delivery of the aligned product outcomes. • Aligns stakeholders across the organization to ensure transparency of prioritization and roadmap status. • Acts as a liaison between stakeholder and development teams. • Drives the agenda and facilitates meetings with Analysts to obtain roadmap feedback. • Partners with marketing and operations to provide market and product responses to RFIs. • Champions and models Origami Risk’s values (Prioritize Clients’ Trust and Success, Innovate with an Entrepreneurial Spirit, Collaborate and Win as a Team)

• Support complex and high-volume customer systems • Communicate and work with stakeholders to translate business vision into actionable requirements • Create business and technical process and data flow diagrams • Manage and prioritize backlog items and optimize value of the product(s) • Act as the main point of contact between SAFe Agile teams • Participate in daily scrum meetings and control sprint objectives • Identify areas of improvement

This is a role for a senior product leader who wants to apply deep expertise at the intersection of product strategy, AI, product commercial success and private equity ownership. As a Product Management Lead Consultant, you will bring your product expertise to bear on the most consequential questions facing investors today: Is this product defensible? Is the AI strategy credible? Can this team execute? Where is the real growth opportunity? You will work directly with investment teams helping them understand investment risks, and what it will take to realize the upside. Engagements move quickly, the companies are diverse, and the work demands both analytical precision and strategic judgment. What You'll Do: Lead and contribute to product assessments for investment firms and portfolio companies across the full investment lifecycle, from pre-close diligence through post-close value creation and exit preparation. Evaluate the strength, credibility, and competitive defensibility of a target company's product strategy, roadmap, and go-to-market approach. Assess how AI and machine learning are embedded in a company's product, distinguishing genuine capability from surface-level positioning, and articulate the implications for competitive advantage, risk, and value creation. Analyze product-market fit, customer segmentation, expansion opportunity, and the assumptions underlying growth projections. Review product team structure, delivery capability, execution track record, and organizational readiness for growth. Conduct primary research including executive interviews, customer discovery conversations, and expert network engagements. Synthesize findings from documentation, market research, and interviews into structured, investment-grade deliverables. Communicate complex product and market dynamics clearly and concisely to deal teams, investment committees, and company leadership. Advise portfolio company product leaders on strategy, prioritization, and capability development post-close. A Note on AI Expertise: AI is no longer a feature; it is rapidly becoming the central axis of competitive advantage and disruption risk in B2B software. We are specifically looking for practitioners who have shipped AI-powered products or built AI strategy at the product leadership level, and who can evaluate the credibility, maturity, and risk surface of another company's AI approach with firsthand authority. The ability to distinguish genuine AI differentiation from vendor-dependency or marketing narrative is a core skill for this role.