Partner Solutions Architect building consultative relationships with AI partners and their executives. Architect solutions, enablement plans, co-sell, prototype demos, and drive partnership revenue using Stripe's platform with LLMs and modern AI tools.
Salary not listed
Remote8+ YOESolutions Architecture
About the role
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 & 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
Minimum 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
Has 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 - additionally, you are comfortable working with scalable data platforms (Databricks, Snowflake) or major cloud ecosystems (AWS, GCP, Azure)
Ability to continuously learn and adapt in 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 (like an FDE) experience
Preferred Qualifications
A background in payments systems and e-commerce solutions is a plus but not a requirement
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