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Build and deploy production-quality AI/LLM agents, internal tools, and automated workflows to boost Solutions Architecture productivity; collaborate with SAs and cross-functional teams, harden prototypes into scalable systems, and maintain backend systems and demo assets.

The Solutions Architect works with clients to design and implement Stripe solutions, foster C-level relationships, and drive business growth through technical integration. Key responsibilities include strategy engagement, solution design, and customer interaction, requiring strong communication and leadership skills.

The Product Marketing Manager will lead positioning, messaging, and strategies for Stripe Apps and its partner ecosystem, collaborating with various teams to drive growth and product adoption.

The Commercial Solutions Program Manager will lead large-scale commercial launch programs, drive cross-organizational alignment, and manage complex functions to enhance revenue for Stripe.

The Program Manager will lead large-scale projects, manage stakeholder communications, create project plans, and drive sales strategy alignment while improving processes and tools.

Lead data strategy for Stripe's risk product, design metrics and frameworks, manage data reliability, mentor analysts, and evaluate risk experimentations.

The Growth Product Marketing Manager defines user journeys for self-serve customers, driving product adoption through data analysis, compelling messaging, and cross-functional teamwork.

Manage and lead a team of Account Executives focusing on acquiring new SMB customers, driving revenue growth, and building customer relationships.

Manage technical relationships with financial partners, drive and deliver integrations, track partner SLAs and performance, coordinate cross-functional teams, and assist incident resolution to ensure partner success.

The Data Science Manager will lead and mentor a team of data scientists, drive data-driven decision-making across Stripe, and collaborate with various stakeholders. Responsibilities include managing projects, recruiting, and contributing to broader data science initiatives.