The opportunity
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
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
What they're looking for
- + 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
