Responsibilities

• Define and lead the AI and agentic roadmap across the full planning-to-opportunity process, from campaign planning and activation through lead engagement, enrichment, nurturing, and pipeline handoff. Prioritize where automation and AI will move conversion rates and efficiency the most.
• Configure and increase AI platforms and agentic workflows hands-on. Design prompts, build workflows, test outputs, and iterate based on what the data says is working.
• Partner directly with SDR leaders, demand gen, and campaign marketing operations teams to understand their processes. Find the friction in these processes and co-design AI-powered solutions that change how they work daily.
• Oversee integration across the core stack (Salesforce, Marketo, Outreach, Workfront, and CDPs) so that AI tooling connects cleanly and data flows without manual workarounds. Partner with Engineering and RevOps on APIs, data architecture, and scalable patterns.
• Tie every initiative back to MQL-to-opportunity conversion rates and pipeline value generated from the same marketing investment. Build reporting and feedback loops that keep the team honest about what's delivering and what's not.
• Evaluate new AI and agentic tools across the demand gen landscape. Run pilots, measure results, and make build-vs-buy recommendations grounded in planning-to-opportunity outcomes.

Requirements

• 10+ years of experience in technical product management, marketing automation, or revenue technology roles
• 5+ years of hands-on experience applying AI or agentic tools to solve business problems, not just familiarity with the concepts
• Hands-on experience configuring or administering Salesforce, Marketo, Outreach, or Workfront
• Experience integrating systems with APIs or data pipelines across a marketing or sales technology stack
• Experience running pilots and scaling AI use cases within a marketing or sales technology environment
• B.S. in Computer Science, Engineering, Marketing, or a related field, or equivalent experience