Position Overview

We are seeking a Technical Product Manager (TPM) to own the domain-specific foundational AI model powering signals and capabilities for our Merchant Services and Treasurer Services businesses. As TPM, you will ensure LPM is built with technical excellence, scalability, and alignment to downstream needs, enabling seamless integration into business applications and models. This role demands deep technical expertise in AI/ML, payments domain knowledge, and agile product leadership to drive innovation across our ecosystem.

Key Responsibilities

• Own the full product lifecycle of LPM: define vision, roadmap, and KPIs; gather/prioritize technical requirements; and manage backlog with user stories for foundational model development

• Collaborate closely with downstream / business Product Owners (e.g., Fraud, Payments) to develop deep understanding of use cases (e.g., fraud detection, transaction optimization), translating them into LPM signals, APIs, and capabilities for easy adoption.

• Partner with engineering, data science, and ML teams to oversee model architecture, training, evaluation, feasibility, prototypes, and deployment—ensuring technical debt is minimized and scalability meets enterprise payments volume.

• Conduct technical oversight: benchmark against industry ML standards, monitor competitive foundational models, and iterate based on performance metrics, feedback, and business impact.

• Drive cross-functional alignment: communicate complex technical roadmaps to stakeholders, facilitate sprint planning, resolve blockers, and lead go-to-market for integrations.

• Analyze data signals from model usage, perform market/competitive research in payments AI, and optimize for downstream value (e.g., accuracy, latency, cost).

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, AI/ML, or related field; Master's or MBA preferred.25

• 5+; years as TPM/Technical Product Owner in AI/ML, fintech, or foundational models, with proven delivery of complex technical products.

• Deep technical expertise: ML frameworks on the large language/foundational models, data pipelines, APIs, cloud (AWS), software architecture, SDLC

• Strong Agile/Scrum experience: backlog management, user stories, sprint planning

• Payments/fintech domain knowledge: transaction processing, merchant/treasury services, risk signals

Preferred Skills

• Analytical/Problem-Solving: Data analysis tools (SQL/Python), A/B testing, KPI definition for model performance

• Soft Skills: Exceptional communication to bridge technical/business teams; decision-making under ambiguity; stakeholder influence