Partner Solutions Architect, AI Partnerships

Job Overview

As a Partner Solutions Architect, AI Partnerships at Stripe, you will provide technical guidance to Stripe's partners. Your goal will be to drive growth through co-solutioning, education, and enablement with partner organisations.

Responsibilities

• Work with key AI partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth
• Develop and execute enablement plans
• Be at the forefront of technical discussions and solution deep dives with partners on the value Stripe provides to their clients
• Engage with CTOs, engineering, and other technical leads at key partners to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to expand the partnership revenue
• Communicate success internally through QBRs, etc.
• Provide oversight, guidance, and assistance during the partners' sales process to ensure mutual success in joint opportunities
• Educate the Stripe sales team on key partner solutions and capabilities
• Collaborate on technical content (sample code, demos, etc.) to show partners how to implement specific use cases or best practices

Requirements

• 8+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise
• Experience co-selling and co-solutioning with go-to-market partners
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities
• Thorough understanding of the software development lifecycle and API architecture
• Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in an enterprise technology ecosystem
• Practical, hands-on experience building with top LLMs (OpenAI, Claude, Gemini) and leverage modern AI development tools like Cursor, Vercel, and Replit to move fast
• Comfortable working with scalable data platforms (Databricks, Snowflake) or major cloud ecosystems (AWS, GCP, Azure)
• Ability to continuously learn and adapt in the current AI market
• Ability to define tech strategy and focused initiatives in a highly ambiguous and fast-evolving domain
• Hands-on prototyping, demo, and customer-facing experience

Preferred Qualifications

• A background in payments systems and e-commerce solutions is a plus but not a requirement