Senior Product Manager (Agentic Marketing) - AI-Native Platform Growth

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. This role focuses on ensuring AI-native capabilities become trusted, habitual, and monetizable parts of marketing workflows.

Strategic Responsibilities

The ideal candidate will:

• Define the product-led growth strategy for Demandbase’s AI-native application, ensuring seamless adoption from discovery to expansion.
• Own the end-to-end adoption funnel, including discovery, activation, repeat use, capability composition, AI consumption, and commercial expansion.
• Identify meaningful customer value beyond mere clicks or feature exposure, partnering with application PMs to reduce friction and introduce relevant capabilities.
• Design and execute product experiments involving onboarding, recommendations, defaults, templates, notifications, approvals, usage visibility, and upgrade paths.
• Develop lifecycle strategies for new and existing customers across multiple GTM user personas.
• Collaborate with Product Analytics and Data Science to establish instrumentation, behavioral cohorts, experimentation methods, and leading indicators of retention and expansion.
• Partner with Finance, Sales, Customer Success, and Marketing on AI packaging, credit models, trials, entitlements, and expansion motions.
• Create reusable growth patterns and platform requirements for composable capabilities.
• Turn successful experiments into durable product experiences and operating practices.

What You’ll Bring

The role requires:

• 5+ years in Product Management or a related field, with experience in SaaS growth, product-led growth (PLG), AI products, or workflow platforms.
• Proven ability to improve activation, retention, expansion, or consumption metrics through shipped product changes.
• Experience working across onboarding, core workflows, lifecycle engagement, packaging, and monetization.
• Strong analytical and experimental judgment to distinguish correlation from evidence for product decisions.
• Experience influencing multiple product teams without dictating their roadmaps.
• Ability to connect customer behavior, qualitative research, product strategy, and commercial outcomes.
• Familiarity with enterprise buying and adoption dynamics, including admins, champions, permissions, enablement, and sales-assisted expansion.
• AI product experience is strongly preferred.

Key Success Metrics

Success will be measured by:

• Establishing a shared AI adoption and monetization funnel.
• Defining activation for priority Jobs-to-be-Done (JTBD) and the composed product experience.
• Reducing time to first meaningful AI outcome.
• Increasing the percentage of active users and tenants completing high-value AI jobs.
• Boosting repeat AI use and adoption of multiple complementary capabilities.
• Identifying behaviors that predict retention, expansion, and increased AI consumption.
• Launching and evaluating experiments that materially improve adoption.
• Helping define product mechanics for trials, entitlements, credit visibility, and usage-based expansion.