The opportunity
The AI Build team is a new, industry-focused team dedicated to building with the world’s leading and fastest-scaling AI companies. We work alongside Stripe’s AI Solutions Architecture and GTM teams, and across Stripe’s product suite to help customers adopt emerging products,…
What you'll do
Own strategic POCs end to end: Sell, scope, and lead proof-of-concept engagements from initial customer commitment through activation.
Build with customers: Work deeply with users’ engineers and technical leaders to understand their workflows, rapidly prototype solutions, and establish credible paths to production.
Design across Stripe: Create solutions that span multiple Stripe products and determine whether blockers require configuration, integration work, custom development, or a core product change.
Close 0→1 gaps: Navigate incomplete products, evolving requirements, and interoperability gaps while balancing immediate customer outcomes with reusable solutions.
Influence the roadmap: Translate customer needs and deployment friction into clear product requirements, and partner with product and engineering teams to shape how Stripe’s frontier products are built.
Lead cross-functionally: Coordinate AI account teams, AI and specialist Solutions Architects, product and engineering teams, Professional Services, and post-sales technical resources across the engagement lifecycle of new builds and deployments.
What they're looking for
- + years of relevant experience in customer-facing technical delivery,: solutions engineering, implementation, technical product management, or a related field
- Experience owning complex customer engagements from discovery and solution: design through implementation or activation, including work across both pre- and post-sales phases
- Demonstrated success in ambiguous, 0→1 environments where the standard: product, integration, or implementation pattern did not yet exist
- Strong understanding of APIs, integrations, application architecture, and: data flows, with the judgment to distinguish implementation gaps from core product gaps
- Ability to prototype rapidly using modern AI coding harnesses and development: tools such as Cursor, Claude Code, or Codex
- Working proficiency in one or more relevant languages, such as Python,: JavaScript/TypeScript, Java, or Ruby; depth in a particular language is less important than the ability to learn quickly and build credible prototypes
- Ability to build trusted relationships with customer engineers, technical: leaders, founders, and other senior stakeholders
- Ability to lead through influence across sales, product, engineering,: implementation, and post-sales teams while maintaining clear ownership of the customer outcome