• own the API and developer experience that lets teams create content workflows at scale • launch integrations that unlock new use cases • work closely with the Agentic AI team to influence editing capabilities • define and grow the business line by shaping positioning, pricing, and go-to-market strategy

• Shape and communicate a compelling product strategy, aligning with company objectives and customer needs. • Own the product vision and roadmap, driving incremental value to customers while ensuring product-market fit, competitive positioning, and profitability. • Lead product development from ideation to launch, ensuring each feature addresses customer pain points, drives value, and contributes to financial growth. • Own P&L accountability for product lines, balancing customer needs with business goals and market opportunities to optimize profitability. • Develop and execute a data-driven strategy for feature prioritization, backlog management, and product metrics. • Lead, mentor, and coach a high-performing team of product managers, fostering a culture of continuous learning and growth. • Engage with customers, partners, and stakeholders to gather insights that drive product improvements and innovation. • Partner with engineering, design, and sales teams to define and execute product features and go-to-market (GTM) strategies. • Define key performance indicators (KPIs) for product success and implement mechanisms for tracking, reporting, and reacting to performance data. • Build strong relationships with internal stakeholders, including senior leadership and cross-functional teams, to ensure product alignment with company objectives.

• Define the interfaces platform strategy in collaboration with the Director of Strategy, to ensure seamless integration capabilities that differentiate Censis software from competitors and deliver superior customer value • Develop (in collaboration with our Interface Architect) comprehensive interface product roadmaps aligned with business objectives and technical capabilities and present to leadership • Conduct competitive analysis and market research to identify integration gaps, emerging interface standards, and opportunities where enhanced connectivity can leapfrog competitor offerings • Gain deep understanding of customer experience and workflows through customer research and market work • Lead API and integration roadmap development by identifying critical third-party systems and partner platforms. • Clearly define customer workflow requirements and business requirements including cost to develop, cost to manage, and cost & time to implement. • Collaborate with engineering teams to design scalable interface architecture that supports current customer needs while building flexible foundations for future integrations and competitive advantages • Participate in technical design discussions and architectural decision-making • Write detailed use cases, user stories, and product requirements documents (PRDs) • Define acceptance criteria and success metrics for new features and products • Manage interface launches, including go-to-market planning and cross-functional coordination • Conduct post-launch analysis and iterate based on user feedback and performance data • Own the Sustainment (technical debt, maintenance, and performance improvements) roadmap for our interface platform • Work closely with the documentation manager to ensure all release documentation (including release notes, technical documentation, knowledge base articles, and troubleshooting guides) is thorough and engaging • Partner with the Product Trainer to develop training materials for all new interfaces and interface enhancements • Serve as the primary escalation point for complex product questions from Customer Success and Customer Support teams

• Strategy & Discovery - Define the roadmap for fraud prevention products, proactively identifying new threats and optimization opportunities in risk engines. • Data-Driven Decision Making - Get hands-on with data. You will have autonomy to run your own SQL queries to validate hypotheses, extract performance reports, and justify project prioritization based on financial and operational data. • ML/AI Lifecycle Management - Actively participate in the design and evolution of Machine Learning models, translating complex business rules into clear requirements for Data Science and Engineering teams. • Delivery & Backlog Management - Turn strategy into clear, technical User Stories, manage a prioritized backlog, and ensure continuous value delivery with the development team. • Performance & KPIs - Closely monitor success metrics (Fraud Rate, Approval Rate, False Positives, Chargeback) and report the impact of initiatives to leadership.