AI & Data Science Senior Product Manager

Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.,Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows.,Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay.,Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, while upholding Responsible AI guardrails.,Collaborate with cross-functional teams, including data science, engineering and commercial teams, to bring products from conception to launch.,Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.,Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.,Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.,Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.,Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

Bachelor's degree or higher in Computer Science, Engineering, Business, or related field.,Minimum of 5 years of experience in product management, preferably in the fintech sector, and managing payment products.,Strong understanding of AI and machine learning technologies, including LLM and agents, and their application in solving business problems.,Proven track record of developing and launching successful products.,Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical teams.,Strong analytical and problem-solving skills, with a data-driven approach to decision making.,Ability to thrive in a fast-paced, dynamic environment, managing multiple projects and priorities.,Familiarity with Google AP2, Visa Trusted Agent Protocol, Mastercard Agent Pay, or adjacent standards (Nice to Have).,Familiarity with Databricks, feature stores, vector DBs, MLflow/MLOps, BI, real-time events and big data (Nice to Have).,Prior experience with payment stacks: knowledge of tokenization, card-present vs. card-not-present, 3DS2/SCA, network rules, APMs, and settlement/reconciliation basics (Nice to Have).,Prior experience with fraud stacks, dispute resolution, and model governance in regulated environments (Nice to Have).

Bachelor's Degree