Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".
Experience: 3+ years as a Technical PO, within Insurtech or Fintech environments.
GenAI Proficiency: A deep understanding of generative AI technologies and Hands-on experience with LLMs, Agentic framework and building Agentic agents in B2B products.
Technical Depth: "Born-in-the-cloud" DNA. You must understand microservices, API-first design, and cloud-native infrastructure.
Agile Mastery: Proven track record in Scrum/Agile, managing complex backlogs in Jira.
Analytical Rigor: A data-driven mindset with the ability to measure AI success through clear KPIs and evaluation frameworks.
Experience with Agentic AI frameworks (e.g., Crew.ai, LangGraph, AutoGen).
A background in software development or architecture.
Experience building Low-Code/No-Code platforms or visual workflow designers.
