Lead Agentic AI Product Manager
About The Position
The Services team and solutions fuel growth for partners globally by providing cutting edge services in the areas of Customer Acquisition and Engagement, Security Solutions, Business and Market Insights, and Open Banking. Focused on thinking big and scaling fast, our agile sales team is responsible for end-to-end solutions for a diverse global customer base including retailers, airlines, hotels, tourism agencies, public sector entities, restaurants, consumer goods and telecom companies. The Business & Markets Insights (BMI) team builds global intelligence products, and the Operational Intelligence Program is expanding these with agentic AI, LLM-driven workflows, and autonomous operational agents. We are seeking a Lead Product Manager to define strategy, lead technical development, and bring these capabilities to scale.
Requirements
- Product Management experience building 0→1 SaaS or AI/ML products.
- Proven experience shipping products using Generative AI, Agentic AI, ML models, or Conversational AI at scale.
- Demonstrable experience with LLMs (GPT, Claude, Mistral), MCP, A2A orchestration, LangChain, LangGraph, AutoGen, Strands, OpenAI Agent SDK.
- Understanding of LLM agents, tool-use patterns, reasoning graphs, memory systems.
- Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks.
- Ability to translate advanced AI concepts into simple, testable product features.
- Experience in product discovery, problem framing, requirement writing, roadmap planning.
- Excellent execution discipline: backlog management, release planning, stakeholder alignment.
- Strong analytical mindset—comfortable with experimentation, A/B testing, and telemetry-driven decisions.
- Exceptional communication and cross-functional leadership.
- Master’s degree or equivalent professional work experience - Computer Science bachelor’s degree with MBA is a plus
Nice To Haves
- Background in payments, fintech, or operational workflows preferred.
- Experience with enterprise-grade, data-intensive, or compliance-sensitive systems is a plus.
Responsibilities
- Translate customer problems into clear technical requirements for LLMs, RAG pipelines, agent orchestration, and tool-use.
- Partner with AI/ML and engineering teams on architecture, grounding, retrieval, safety, and evaluation.
- Prototype using modern agent frameworks (e.g., LangGraph, AutoGen, Strands, OpenAI Agent SDK) to validate capabilities.
- Own strategy and roadmap for agentic AI features across Operational Intelligence.
- Drive 0→1 product development for new AI and SaaS capabilities.
- Define use cases for LLM agents, autonomous workflows, and A2A orchestration.
- Support go-to-market planning, pricing inputs, and customer enablement.
- Drive internal and external adoption through demos, onboarding, documentation, and training.
- Write concise PRDs, technical specs, and acceptance criteria.
- Lead backlog, prioritization, and sprint execution with engineering teams.
- Work with MLOps on model evaluation, drift monitoring, hallucination mitigation, and observability.
- Conduct discovery with issuers, acquirers, processors, and banks.
- Lead A/B tests, user studies, and trust/accuracy evaluations for AI agents.
- Convert insights into product decisions and KPI-based roadmaps.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
