Define and execute a comprehensive AI strategy aligned with the Platform, AI & Value-Added Services vision.
Identify and prioritize opportunities where AI can drive measurable business outcomes across the product portfolio.
Serve as the AI thought leader for the organization — educating internal teams and customers on the impact of generative and predictive AI in payments and commerce.
Partner with the Data Platform team to convert AI research and data pipelines into production-grade product features.
Build and scale AI-infused capabilities in existing products to drive incremental value.
Drive end-to-end product delivery — from ideation and prototyping through launch, commercialization, and continuous improvement.
Conceptualize and launch AI-powered value-added services (e.g., AI merchant insights, automated reconciliation, agentic commerce assistants).
Partner with Marketing, Sales, and Partner teams to position AI offerings as a core differentiator in the market.
Ensure AI applications adhere to responsible AI principles, regulatory frameworks, and bank-grade compliance standards.
Collaborate with Legal, Risk, and Compliance teams to implement AI governance, transparency, and auditability practices.
Build and lead a small, high-performing AI product team of product managers and data product specialists.
Foster a culture of innovation, experimentation, and measurable impact across product and engineering teams.
Represent the company in external forums, partnerships, and thought leadership opportunities related to AI in payments.

Requirements

10+ years of product management experience
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or equivalent experience
Minimum 4+ years leading AI/ML or data-driven products.
Proven track record of shipping AI-based products that deliver commercial or operational impact at scale.
Deep understanding of machine learning, LLMs, and applied AI frameworks (e.g., data pipelines, model lifecycle, inference APIs).
Experience working with data platform teams and modern cloud technologies (Azure, AWS, or GCP).
Familiarity with financial services, payments, or commerce ecosystems strongly preferred.
Demonstrated skills leading cross-functional teams and convening stakeholders across functions to ship products in regulated industries.
Experience identifying sources of AI risk, designing mitigations, working with stakeholders across the enterprise to build consensus and develop guardrails, and partnering with delivery teams to ensure AI products are delivered responsibly and meet regulatory obligations.
Excellent communication and executive influence skills; ability to translate AI concepts into business value.

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI strategymachine learningLLMsdata pipelinesmodel lifecycleinference APIsAI-based productsproduct managementcloud technologiesAI governance

Soft Skills

leadershipcommunicationcollaborationinnovationstakeholder managementexecutive influencecross-functional team leadershipeducational skillsproblem-solvingstrategic thinking

Certifications

Bachelor’s in Computer ScienceMaster’s in Computer ScienceBachelor’s in EngineeringMaster’s in EngineeringBachelor’s in Data ScienceMaster’s in Data Science