Senior Product Manager, AI

As Senior AI Product Manager for our Core AI Platform, you will be at the heart of Flo Qast's AI transformation. You'll own the vision, strategy, and roadmap for our internal agentic AI platform—the foundational infrastructure that enables teams across Flo Qast to rapidly build and deploy AI-powered features without needing deep AI expertise. This is a unique opportunity to build the "AI operating system" for our entire product suite, working at the intersection of cutting‑edge AI technology and real‑world enterprise accounting workflows.

You’ll partner with engineering teams building AI agents, our Transform product (an AI‑powered workflow automation tool), and other product teams to identify common AI capabilities, build reusable platform components, and democratize AI development across the organization. Think of this role as building the "Airflow for AI"—creating the orchestration layer, monitoring systems, and developer‑friendly APIs that make sophisticated AI functionality accessible to any engineering team.

• Own the vision, strategy, and roadmap for Flo Qast's Core AI Platform, establishing it as the foundational layer for all AI initiatives across the company
• Partner closely with senior Product and Engineering leadership to align the platform roadmap with company‑wide AI goals and emerging customer needs
• Identify opportunities to consolidate redundant AI work (e.g., Document parsing, RAG implementations) into shared platform capabilities
• Serve as the AI infrastructure partner for product teams across Flo Qast, understanding their AI use cases and translating them into platform requirements. Conduct discovery sessions with internal teams to identify common AI patterns, pain points, and opportunities for shared solutions.
• Build a platform that enables non‑AI engineers to leverage sophisticated AI capabilities through intuitive APIs and templates.
• Create the "paved road" for AI development—making it easier to do AI the right way than to build custom solutions
• Design and prioritize platform components including RAG frameworks, agent orchestration systems, model evaluation pipelines, state management, and monitoring tools
• Ensure the platform supports enterprise‑grade requirements: audibility, explainability, reliability, and security
• Define success metrics for platform adoption and AI feature quality across the organization
• Bring deep technical understanding of AI systems—their capabilities, limitations, and operational challenges—to guide platform architecture decisions
• Establish evaluation frameworks and quality standards for AI features built on the platform
• Partner with Engineering to make sound long‑term technical investments while delivering near‑term value
• Champion AI best practices including prompt engineering, model evaluation, human‑in‑the‑loop workflows, and responsible AI principles
• Act as the primary evangelist for the Core AI Platform, building internal awareness and driving adoption across product teams
• Develop documentation, tutorials, and enablement materials that make the platform accessible to diverse technical audiences
• Measure and communicate platform impact through metrics like reduction in time‑to‑market for AI features, consistency of AI quality, and engineering efficiency gains

• 3+ years of hands‑on experience with AI/ML systems, including production experience with LLMs, RAG architectures, or agentic AI systems
• Understanding of prompt engineering, model evaluation, and AI system observability
• Knowledge of AI infrastructure challenges: latency, cost optimization, reliability, and quality control
• Familiarity with AI development frameworks and tools (Lang Chain, Llama Index, or similar)
• 5+ years in B2B SaaS product management, with at least 2 years building developer‑facing platforms, infrastructure products, or internal tooling
• Experience defining platform abstractions that balance flexibility and ease‑of‑use
• Track record of driving adoption of internal platforms across multiple teams, including partnering on product requirements discovery
• Understanding of API design principles and developer experience considerations
• Ability to engage deeply with…