• Definir y evolucionar la estrategia de producto en su vertical. • Ejercer ownership total del ciclo de vida del producto. • Demostrar product sense superior en la toma de decisiones. • Liderar la triada de producto (Tech, Diseño, Producto). • Gestionar stakeholders internos de forma estratégica. • Medir y asegurar impacto real. • Mentorear y elevar el nivel del equipo de producto.

• Define and maintain the AI Studio product roadmap across its future releases, spanning multi-agent systems, self-improving agents, voice mode, enterprise memory graph, and autonomous agent teams. • Own and prioritize the product backlog in collaboration with engineering, design, and practice leads, translating business goals and customer needs into actionable epics and user stories. • Facilitate sprint planning, backlog grooming, and sprint reviews, ensuring alignment between short-term delivery and long-term platform vision. • Establish clear OKRs, success metrics, and KPIs — tracking adoption, agent creation, workspace utilization, cost efficiency, and customer satisfaction. • Balance competing priorities across internal platform needs, customer-facing features, and commercialization workstreams. • Lead the end-to-end commercialization of AI Studio, defining the packaging, pricing, and go-to-market strategy in partnership with Sales, Marketing, and Finance. • Develop monetization models including SaaS/platform subscriptions (per workspace, per agent, per connector), connector marketplace, enterprise licensing, and white-label options. • Build business cases, competitive positioning, and market analysis for AI Studio as a standalone commercial offering competing in the emerging AgentOps/AI Application Platform market. • Define and manage the connector marketplace strategy — curating premium integrations and establishing a model for third-party contributions. • Partner with Presidio's practice leaders across Modern Networks, Data & AI, Security, and Cloud to embed AI Studio into client-facing solution offerings. • Support pre-sales activities including demos, RFP responses, and customer workshops. • Stay ahead of the rapidly evolving AgentOps landscape — monitoring competitors (LangChain, Dust, Copilot Studio, CrewAI, n8n) and emerging standards such as MCP and A2A.

• Lead strategic product decisions across complex engagements • Translate business goals and user insights into roadmaps, priorities, and opportunities • Collaborate with design, engineering, and strategy partners • Bring clarity through documentation, product artifacts, and strong communication • Influence high-impact digital experiences seen by millions

• Define and maintain the AI Studio product roadmap across its future releases, spanning multi-agent systems, self-improving agents, voice mode, enterprise memory graph, and autonomous agent teams. • Own and prioritize the product backlog in collaboration with engineering, design, and practice leads, translating business goals and customer needs into actionable epics and user stories. • Facilitate sprint planning, backlog grooming, and sprint reviews, ensuring alignment between short-term delivery and long-term platform vision. • Establish clear OKRs, success metrics, and KPIs — tracking adoption, agent creation, workspace utilization, cost efficiency, and customer satisfaction. • Balance competing priorities across internal platform needs, customer-facing features, and commercialization workstreams. • Lead the end-to-end commercialization of AI Studio, defining the packaging, pricing, and go-to-market strategy in partnership with Sales, Marketing, and Finance. • Develop monetization models including SaaS/platform subscriptions (per workspace, per agent, per connector), connector marketplace, enterprise licensing, and white-label options. • Build business cases, competitive positioning, and market analysis for AI Studio as a standalone commercial offering competing in the emerging AgentOps/AI Application Platform market. • Define and manage the connector marketplace strategy — curating premium integrations and establishing a model for third-party contributions. • Partner with Presidio's practice leaders across Modern Networks, Data & AI, Security, and Cloud to embed AI Studio into client-facing solution offerings. • Support pre-sales activities including demos, RFP responses, and customer workshops. • Stay ahead of the rapidly evolving AgentOps landscape — monitoring competitors (LangChain, Dust, Copilot Studio, CrewAI, n8n) and emerging standards such as MCP and A2A. • Define the platform's differentiation story as 'enterprise-grade AgentOps + MCP connector fabric' — ensuring AI Studio is clearly positioned vs. developer-centric frameworks and flow-based tools. • Drive the governance and guardrails roadmap, including gateway controls, cost allocation, token management, and enterprise security compliance. • Champion platform observability, semantic monitoring, and self-improving agent capabilities as enterprise differentiators. • Identify and address platform challenges: managing cost at scale, proper token handling, multi-source support requests, and enterprise cost allocation. • Serve as the primary voice of the customer and internal user base (450+ users across 5+ practices) — gathering feedback, synthesizing insights, and feeding them into the roadmap. • Partner closely with the AI Studio engineering team, SEG architects, and cross-functional leaders to align on build vs. buy decisions and platform investments. • Communicate roadmap, progress, and strategic direction to executive stakeholders, practice leads, and external customers. • Drive internal enablement: ensure that Presidio teams understand how to leverage AI Studio in customer engagements and delivery.