• Prioritize enterprise and district-facing features that enable successful district-wide adoption. • Partner closely with engineering to design and deliver scalable, secure solutions. • Collaborate with Sales, CX, and Partnerships for strong expansion and engagement with Enterprise features. • Define and monitor success metrics related to district adoption, usage, and outcomes. • Navigate complex tradeoffs across district stakeholders to deliver cohesive, high-impact product experiences.

• Own product outcomes from problem discovery to shipped product to revenue impact. • Translate customer, sales, and market inputs into clear, technically actionable requirements. • Partner tightly with engineering to define scope, tradeoffs, and sequencing. • Actively use AI development tools (Cursor, Claude Code, copilots, internal agents) to prototype workflows and features. • Validate technical approaches early. • Drive fast feedback loops using MVPs, experiments, and real customer usage. • Align roadmap priorities to ARR growth, retention, and expansion opportunities. • Serve as a strong technical voice in product discussions with leadership, sales, and customers.

• Support the strategy, execution, and scaling of Vocal Media’s AI-powered products and programs • Guide the vision and roadmap for AI Studio, balancing internal experimentation with scalable, client-ready solutions • Lead the transition from prototype to production—turning early AI experiments into stable tools, workflows, and programs • Identify opportunities to standardize, automate, and scale AI capabilities across multiple clients and programs • Manage systems for internal AI experimentation, including intake, prioritization, testing, and evaluation processes • Establish clear operational frameworks to support rapid iteration without sacrificing reliability or quality • Partner with operations and data teams to build reporting, monitoring, and feedback loops that inform product decisions • Anticipate operational risks and constraints as AI tools scale, proactively addressing performance, compliance, and resource needs • Oversee AI-enabled client programs from discovery through delivery, ensuring strong alignment between client needs and product capabilities • Collaborate with client teams to scope requirements, manage timelines, and set clear expectations for AI-driven outcomes • Ensure consistent quality and performance across all client-facing AI tools, services, and workflows • Translate client feedback into actionable product improvements and roadmap priorities • Partner closely with engineers, data scientists, and technical vendors to design, build, and ship AI-powered tools, platforms, and internal systems • Contribute meaningfully to technical architecture and system design discussions, including data pipelines, model integration, automation workflows, and internal tooling • Serve as a technical bridge between engineering teams, AI creatives, and client-facing stakeholders • Support iteration, debugging, and performance optimization by maintaining a strong understanding of systems end-to-end • Make informed build vs. buy decisions, evaluating vendors, APIs, and tools for scalability, cost, reliability, and long-term maintainability

• Define and own the multi-year product strategy for GIAC certifications and assessments, aligned to broader organizational goals. • Identify market opportunities, competitive dynamics, and learner needs to inform product direction. • Lead the end-to-end product lifecycle from discovery and definition through launch and iteration for all certification and assessment products. • Translate learner, employer, and industry insights into clear product requirements and success metrics. • Create and maintain the GIAC product roadmap, ensuring it reflects business priorities, learner needs, and industry trends while communicating progress and tradeoffs to senior stakeholders. • Own and manage the product backlog, partnering directly with engineering teams to groom, prioritize, and sequence work that delivers the highest impact. • Partner with psychometricians, exam developers, and range and lab platform technology teams to ensure certification and assessment products meet rigorous standards for validity, reliability, and fairness. • Define and monitor KPIs to measure product health and drive continuous improvement. • Serve as the lead product management authority on the certification and assessment landscape, including industry trends, credentialing standards, and competitor offerings. • Build strong relationships with key internal stakeholders across GIAC business leadership, curriculum, sales, marketing, and product development. • Engage directly with customers, employers, and the broader cybersecurity community to deepen understanding of market needs.