What You'll Do

• Define and execute the vision and roadmap to relaunch FloHub with high-impact, deep data & agent integrations – scaling it into a world-class marketplace that eventually includes partner applications.
• Deliver and manage integrations that empower our AI agents and wider product suite – leveraging data and executing actions across many third-party systems our customers are using (Banking, AP/AR, e-commerce, CRM, etc).
• Strategic R&D Leadership: Work cross-functionally to define customer use cases, technical requirements, and implementation approaches for all third-party integrations.
• Collaboration with Ecosystem Partners: You’ll work closely with the product/technical teams we’re partnering with, building a relationship and collaborating on use cases for our mutual customers.
• Full Lifecycle Ownership: From identifying the "why" behind an integration/partnership to managing its development and launch, you’ll fully own every ecosystem play.
• Customer-Centric Roadmap: Stay obsessed with user needs, ensuring our integrations to solve real-world friction for accounting and finance teams. Keep tabs on the ecosystem to see where FloQast should be strategically partnering next.

What You'll Bring

• Proven Ecosystem Track Record: 8+ years of Product Management experience with a specific focus on platform/ecosystem growth.
• Technical Depth: Computer Science or Engineering is highly preferred.
• Deep understanding of API architecture, webhooks, data schemas, and data ingestion pipelines. Strong understanding of how structured data powers AI experiences.
• A self-driver who can move from a high-level "reboot" strategy to the granular details of a technical implementation without missing a beat.
• FinTech Fluency: Experience in the FinTech or Accounting tech space with working knowledge of ERPs (e.g. NetSuite, Sage, SAP) and the broader FinTech stack (banking, payroll, AP/AR, etc). Understanding of needs around financial data integrity.
• AI & Future-Tech Curiosity: You’ve been following the evolution of AI agents. Experience with MCP (Model Context Protocol) servers or building partnerships that involve autonomous AI actions is a major bonus.