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Applied AI Lead (Rev Ops)

Headway · United States

External listingfull-timeabout 1 month ago

About The Role

Join Headway, a company dedicated to transforming mental healthcare. As the Applied AI Lead for Rev Ops, you will play a crucial role in automating and optimizing our revenue operations. You will build and ship AI-powered workflows, evaluate and deploy AI-native tools, and partner with our GTM and R&D teams to drive growth. This is an AI-first role, and you will be expected to use AI tools to streamline processes and improve efficiency.

  • Construire, expédier et itérer des flux de travail alimentés par l'IA qui réduisent l'effort manuel et fournissent des informations plus rapides et plus fiables.
  • Posséder et faire évoluer les flux de travail de revenus clés, en rendant les motions des représentants évolutives et axées sur l'IA à mesure que Headway se développe.
  • Diriger des initiatives majeures en matière de Rev Ops de bout en bout, de la définition du problème à l'analyse des données, en passant par la mise en œuvre et le déploiement.
  • We're looking for people who already work this way and see AI as the primary way in which they operate
  • You have a strong track record of leading large, cross-functional projects that involve engineering, systems, data, and process change
  • You have 5+ years of experience in Revenue Operations, Business Operations, Strategy, or similar roles within high-growth, operationally complex environments
  • You can build workflows based on touching grass and shadowing reps. You prioritize the highest-leverage problems, set clear measures of success, and improve continuously based on adoption and feedback
  • You are an excellent communicator who can simplify complexity, create alignment, and move teams toward action
  • You are AI fluent: you can build, ship, and iterate revenue workflows using AI tools, partnering with R&D where it makes sense. You're comfortable with prompt engineering, agentic workflows, and AI orchestration, and you understand APIs and how data moves between tools well enough to wire them together yourself. Bonus if you're comfortable in Python for the cases no-code can't handle
  • You can pull and interrogate data independently (SQL fluency, or the ability to get there fast with AI), partner effectively with the Data team when needed, and don’t need to wait for others when you need an answer
  • You thrive in ambiguity, take ownership, and are energized by building and scaling new capabilities

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