You will manage a named book of agencies, running full-cycle sales from discovery to closing while multithreading across stakeholders. You are responsible for maintaining pipeline rigor in HubSpot, forecasting accurately, and ensuring a clean handoff to the implementation team.
You will establish the company's finance and accounting function, including revenue recognition policies, monthly close processes, and P&L restructuring. You will also own financial modeling, burn management, and collaborate with engineering to define accounting requirements for product development.
You will own the agency product, managing large-scale transitions and extending the platform into new markets. This involves working closely with sales and success teams to scope feature gaps and lead the technical execution of back-office workflows.
Provide top-tier technical support to travel advisors via chat, email, and 1:1 sessions while troubleshooting complex product issues. Collaborate with product and engineering teams to incorporate customer feedback into the roadmap and optimize support workflows using AI.
Lead the end-to-end development of the advisor AI Chat experience and build the company's first advisor mobile app from the ground up. Own the selling and marketing tools while managing the full product loop from research and specs to QA and rollout.
Own the end-to-end development of the advisor mobile app, including the native shell, hybrid surfaces, and supporting Rails APIs. Establish the build and release pipeline and set the engineering standards for mobile development at the company.
The Agency Success Manager will define and build the agency success motion, creating playbooks and engagement models to support agencies at scale. They will act as a strategic consultant for high-GMV agencies to drive growth, adoption, and long-term relationship quality.
Own the end-to-end design and implementation of supplier integrations for cruise, lodging, and insurance partners. Ensure reliability and observability of third-party APIs while contributing to internal tooling and AI-assisted workflows.
Drive the development of agentic and MCP-based tooling to accelerate R&D workflows and increase autonomous throughput. Ship production code weekly while training and leveling up the engineering team's AI fluency and prompt engineering practices.
