• 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.

• Own and continuously refine Limble’s roadmap for pre-built integrations across ERP, HRIS, Finance, Inventory, Sensors/IoT, SSO, and other systems that support enterprise workflows. • Prioritize requests based on customer demand, market needs, GTM input, and strategic value for mid-market and enterprise customers. • Convert business workflows into clear functional and technical requirements for engineering. • Own the API product roadmap and developer experience strategy • Partner with engineering leads to ensure integrations are predictable, scalable, and reusable within our new platform architecture. • Manage the full lifecycle of each integration from discovery and scoping through design, development, QA, customer validation, launch, and ongoing improvements. • Create repeatable patterns and frameworks to accelerate integration delivery. • Meet with customers, partners and prospects to uncover workflow needs, data flows, and integration gaps. • Turn insights into structured requirements for the integration backlog. • Support enterprise sales by explaining how Limble fits into broader operational tech stacks. • Own Limble’s strategic relationships with iPaaS partners (Prismatic, Make, Zapier, Paragon, n8n, etc.). • Manage the roadmap for Limble-built connectors across major iPaaS platforms, ensuring strong coverage, high quality, and alignment with each vendor. • Lead the transition away from legacy iPaaS tooling toward customer-supported iPaaS solutions or native pre-built integrations. • Ensure the ecosystem meets enterprise expectations for reliability, documentation, SLAs, scalability, and security. • Partner with Product, Engineering, GTM, Customer Success, Solutions Engineering, and Support to ensure integrations are delivered smoothly and meet customer expectations. • Own the intake, triage, and scoping process for integration requests coming from Sales and Customer Success. • Work with Solutions Engineering to create repeatable “integration playbooks” that support enterprise implementations. • Lead Limble’s ecosystem of integration partners building on the platform. • Provide guidance on when to use Limble’s pre-built integrations versus partner-built connectors. • Partner with our partnerships team to build a scalable partner enablement program with documentation, patterns, sample workflows, and reference architectures. • Act as the escalation point for high-impact partner needs, including roadmap alignment, joint customer requirements, and architectural decisions.