Stripe is hiring a Partner Solutions Architect, AI Partnerships in 1160 Partner Solution Engineering — N/A. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who we are
About Stripe
Company context from the listing:
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.
About the team
Company context from the listing:
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.
What you’ll do
Day-to-day scope for the Partner Solutions Architect, AI Partnerships as described in the posting:
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
Day-to-day scope for the Partner Solutions Architect, AI Partnerships as described in the posting:
- 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
Who you are
Experience and skills the team lists as required:
The listing frames the Partner Solutions Architect, AI Partnerships at Stripe as a hands-on product role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Experience and skills the team lists as required:
- 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
Experience and skills the team lists as required:
- A background in payments systems and e-commerce solutions is a plus but not a requirement