Partner Solutions Architect, AI Partnerships
- Location
- N/A
- Posted
- July 23, 2026
- Source
- Greenhouse
Job description
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 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