- Shape and drive the AI roadmap and priorities for GTM systems
- Define how AI is applied across customer-facing GTM workflows
- Identify, compare, and prioritize the highest-impact opportunities across sales, marketing, and customer success
- Balance near-term impact with longer-term platform capabilities such as decisioning and orchestration
- Define and operationalize AI-driven workflows
- Shape how systems determine and trigger next best actions across the customer lifecycle
- Define how customer context, priority, and signals inform decisions and automation
- Establish when actions are handled by AI versus human teams, and how those interactions are coordinated
- Deliver AI-powered solutions end to end
- Translate GTM needs into scalable product requirements
- Use rapid prototyping to explore ideas and de-risk decisions early
- Lead development from problem definition through launch in partnership with engineering and technical architects
- Ensure solutions are embedded in core systems and usable in day-to-day workflows
- Drive adoption and business impact
- Partner with operations and enablement to drive adoption and change how GTM teams operate
- Define success metrics and iterate based on performance and user feedback
- Collaborate with engineering, technical architects, design, analytics, operations, and enablement to align on priorities, tradeoffs, and execution
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