Product Owner Gen AI

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

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. You’ll 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, ideally 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.