Senior Product Owner Gen AI
Posted 22 days ago · 0 applicants
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The role in plain words
This role involves leading Generative AI initiatives within a B2B platform for financial institutions. You will define the GenAI roadmap, manage the product backlog, and write technical specifications for engineering and data science teams. Day-to-day tasks include running experiments to validate LLM performance and collaborating with architecture teams on microservices and API-first designs.
- 3+ years as a Technical Product Owner
- Deep understanding of generative AI technologies and hands-on experience with LLMs, Agentic frameworks, and building Agentic agents in B2B products
- Technical depth in microservices, API-first design, and cloud-native infrastructure
- Proven track record in Scrum/Agile, managing complex backlogs in Jira
- 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)
- Background in software development or architecture
- Experience building Low-Code/No-Code platforms or visual workflow designers
Extracted from the job description · kept up to date automatically
Who this suits
This role suits individuals with over three years of experience as a Technical Product Owner in Insurtech or Fintech who have hands-on experience building agentic frameworks and LLM-based products. It is less ideal for those without a strong technical background in cloud-native infrastructure, APIs, and microservices.
Full job description
Original listing · kept for referenceWe are looking for a technically-grounded, visionary Senior 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".
Must-Have Skills:
• 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.
Bonus Points For:
• 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.
Sapiens is an equal-opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 3+ years as a Technical Product Owner, Deep understanding of generative AI technologies and hands-on experience with LLMs, Agentic frameworks, and building Agentic agents in B2B products, Technical depth in microservices, API-first design, and cloud-native infrastructure, Proven track record in Scrum/Agile, managing complex backlogs in Jira, Data-driven mindset with the ability to measure AI success through clear KPIs and evaluation frameworks