• Be the owner of our Customer Data Visualization product and drive the long-term vision for a prescriptive, client-facing impact dashboard that surfaces the measurable value of our platform across growth, optimization, and cost savings — leveraging AI-first approaches to accelerate discovery, decision-making, and delivery. • Define and deliver KPI-driven dashboards that clearly demonstrate platform value through recommendations taken, automations executed, and measurable business outcomes. • Partner closely with Data Science, Engineering, and Client Success to align on metrics, data models, and insight generation pipelines that power the dashboard experience. • Translate complex datasets into intuitive, actionable visualizations that drive client understanding and decision-making. • Establish and track success metrics tied to dashboard adoption, engagement, and client outcomes — and use that data to drive continuous product iteration. • Synthesize qualitative inputs — including client interviews, support tickets, and survey feedback — using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy. • Ensure data accuracy, consistency, and reliability across all surfaced insights. • Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. • Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration. • Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment. • Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery. • Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. • Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. • Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. • Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. • Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. • Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions.

• Be the owner of our Customer Data Visualization product and drive the long-term vision for a prescriptive, client-facing impact dashboard that surfaces the measurable value of our platform across growth, optimization, and cost savings — leveraging AI-first approaches to accelerate discovery, decision-making, and delivery. • Define and deliver KPI-driven dashboards that clearly demonstrate platform value through recommendations taken, automations executed, and measurable business outcomes. • Partner closely with Data Science, Engineering, and Client Success to align on metrics, data models, and insight generation pipelines that power the dashboard experience. • Translate complex datasets into intuitive, actionable visualizations that drive client understanding and decision-making. • Establish and track success metrics tied to dashboard adoption, engagement, and client outcomes — and use that data to drive continuous product iteration. • Synthesize qualitative inputs — including client interviews, support tickets, and survey feedback — using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy. • Ensure data accuracy, consistency, and reliability across all surfaced insights. • Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. • Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration. • Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment. • Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery. • Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. • Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. • Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. • Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. • Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. • Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions.

• Be the owner of our Customer Data Visualization product and drive the long-term vision for a prescriptive, client-facing impact dashboard that surfaces the measurable value of our platform across growth, optimization, and cost savings — leveraging AI-first approaches to accelerate discovery, decision-making, and delivery. • Define and deliver KPI-driven dashboards that clearly demonstrate platform value through recommendations taken, automations executed, and measurable business outcomes. • Partner closely with Data Science, Engineering, and Client Success to align on metrics, data models, and insight generation pipelines that power the dashboard experience. • Translate complex datasets into intuitive, actionable visualizations that drive client understanding and decision-making. • Establish and track success metrics tied to dashboard adoption, engagement, and client outcomes — and use that data to drive continuous product iteration. • Synthesize qualitative inputs — including client interviews, support tickets, and survey feedback — using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy. • Ensure data accuracy, consistency, and reliability across all surfaced insights. • Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. • Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration. • Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment. • Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery. • Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity. • Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience. • Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust. • Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met. • Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability. • Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions.

• Leads, mentors, and inspires a team of Product Managers and Product Analysts, fostering a culture of collaboration and continuous improvement. • Establishes clear expectations for the team’s use of AI throughout the SDLC, including research, discovery, delivery, and post-release evaluation. • Guides the use of AI-assisted research techniques (e.g., synthesis, summarization, trend analysis) to improve speed and depth of customer, market, and competitive insights. • Ensures the team uses AI to support content and artifact generation, including product requirements, PRDs, user stories, acceptance criteria, release notes, internal communications, and stakeholder-facing materials, while maintaining clarity, accuracy, and human judgment. • Champions rapid prototyping and experimentation using AI-enabled tools to explore solution options, validate assumptions, and reduce time to learning. • Provides oversight of the team, ensuring alignment with Software Development Lifecycle (SDLC) and underlying processes. • Monitors and reports on product KPIs and business metrics to optimize the Product and ensure efficiency and effectiveness of the team and products. • Develops and maintains deep expertise in the competitive landscape, including direct competitors, adjacent solutions, pricing strategies, and evolving marketing trends. • Researches and identifies emerging AI, data, market, and technology trends to influence the product roadmap and promote innovation and differentiation. • Uses data, experimentation, and AI-driven insights to validate roadmap prioritization and proposed solution builds, ensuring problems are worth solving and solutions deliver measurable value. • Translates commercial strategy and competitive insights in clear product vision, and roadmap priorities to define and oversee a prioritized roadmap across the team of Product Managers for a single and clear strategic vision for suites of products/modules. • 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. • Advocates for the customer by proactively seeking out and engaging with clients to understand pain points and problems we need to solve for. • Partners with cross-functional team to ensure successful rollout of team functionality and solutions in alignment with department procedures • Communicates with other Product Managers and department leadership to ensure complementary/non-conflicting roadmaps. • Partners with key stakeholders, including but not limited to design, architecture, marketing, and business representatives. • Champions and models Origami Risk’s values (Prioritize Clients’ Trust and Success, Innovate with an Entrepreneurial Spirit, Collaborate and Win as a Team). • Performs ongoing team member career development and performance evaluations in addition to the annual performance and compensation review process.