Responsibilities

• Design and lead an AI-native Product Marketing function by architecting the strategic spine, agent workflows, and governance model. Agents will handle synthesis, distribution, and adaptation, while humans retain ownership of judgment and the category narrative.
• Own and refine the core product story, value propositions, and messaging framework across all segments and regions, serving as the human-judgment authority for the strategic spine.
• Design agent-assisted workflows to continuously test and adapt messaging across channels and personas, replacing periodic refreshes with a scalable, living messaging system.
• Lead Strategic Go-to-Market (GTM) orchestration, architecting GTM playbooks and designing the always-on GTM infrastructure that handles feature releases and adoption nudges.
• Build agent-driven launch orchestration workflows that coordinate cross-functional dependencies, generate channel-specific content, and adapt distribution based on real-time engagement signals.
• Partner on GTM motions to support both Product-Led Growth (PLG) and Sales-Led Growth (SLG), including defining the governance model for agent autonomy in GTM decisions.
• Serve as a key collaborator in Pricing, Packaging & Monetisation decisions, bringing competitive context and buyer perception to the table, and translating decisions into compelling buyer-facing narratives.
• Establish an always-on Customer, Competitive & Market Intelligence system where agents continuously monitor positioning, product changes, pricing moves, and community sentiment.
• Design and maintain dynamic, agent-generated enablement assets (such as battlecards and win/loss analysis) that update automatically as new competitive data arrives, moving enablement from static documents to a fluid system.
• Equip Sales, Marketing, and Customer Success to translate technical capabilities into buyer value, with agents providing real-time context and humans delivering narrative judgment.
• Lead, coach, and develop the PMM team, designing the human + agent operating model by defining which workflows are human-led versus agent-operated and building AI fluency across the team.
• Define PMM career paths and institutionalize processes that reflect the AI-native model, emphasizing strategic judgment, system design, agent orchestration, and narrative craft.