合作伙伴解决方案架构师，AI 合作伙伴关系

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

As a member of the Partner Solutions Architecture (PSA) team, you'll be responsible for providing technical guidance to Stripe’s partners. Our goal is to drive growth through co-solutioning, education and enablement with our partner organisation. The right candidate will be a critical technical liaison to the Stripe Partner Development Manager. This will involve creating comprehensive technical business plans for partners, including identifying, incubating and bringing to market service/solution offerings built on or with Stripe. A Partner Solution Architect is someone who is intellectually curious, motivated to win, open, and entrepreneurial.

What you’ll do

As a member of the team, PSAs build highly consultative trusted relationships with executives and technical decision makers in the customers' organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they drive new monetization opportunities and growth.

Responsibilities

• Work with key AI partners to build out their Stripe capabilities and solutions

As a member of the team, PSAs build highly consultative trusted relationships with executives and technical decision makers in the customers' organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they drive new monetization opportunities and growth.

• 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

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

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

• 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

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