This role is an agent-first Sales Operations position focused on building scalable commercial intelligence systems rather than traditional reporting. You will design and continuously improve AI-enabled agents, workflows, metrics, and models that drive forecasting, pipeline execution, deal decisioning, and executive insights.
You will partner closely with different internal departments to translate complex business questions into trusted, explainable systems that reduce manual effort and improve decision-making at scale.
Key Responsibilities
- Tune, validate, and improve agent outputs for accuracy, relevance, and explainability
- Translate ambiguous commercial questions into structured logic that agents can execute
- Define and maintain core sales metrics, data models, and commercial logic across systems
- Ensure consistency across CRM, data warehouse, dashboards, and executive reporting
- Partner with Finance to validate forecasting assumptions, models, and scenarios
- Conduct deep-dive analyses on pipeline health, forecast risk, deal economics, and performance drivers
- Build scenario models to support planning, tradeoffs, and leadership decision-making
- Design and build low-code/no-code agents and automated workflows for recurring Sales Ops analysis
- Review agent-generated reporting to ensure it is decision-useful and trusted
- Design the logic behind dashboards, narratives, and executive-level insights