Solutions Engineer, AI Build Team

Job Overview

As a Solutions Engineer on the AI Build team at Stripe, you'll work directly with frontier AI companies on the payments, billing, and monetization infrastructure underlying their core businesses.

Responsibilities

• Own strategic proof-of-concept engagements end-to-end, from initial scoping through activation and handoff, combining customer discovery, solution design, rapid prototyping, and cross-functional leadership.
• Build with customers, working deeply with users' engineers and technical leaders to understand their workflows, rapidly prototype solutions, and establish credible paths to production.
• Design 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, navigating incomplete products, evolving requirements, and interoperability gaps while balancing immediate customer outcomes with reusable solutions.
• Influence the roadmap, translating customer needs and deployment friction into clear product requirements, and partnering with product and engineering teams to shape how Stripe's frontier products are built.
• Lead cross-functionally, coordinating 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.
• Create repeatable patterns, turning successful customer-specific work into reusable prototypes, reference architectures, implementation playbooks, and solution components.
• Stay close to the AI frontier, operating at the pace and in the working style of AI-native companies, and remaining current on emerging companies, products, business models, and technical developments across the industry.

Requirements

• 7+ 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.
• Experience operating at startup speed and in Slack-first, rapidly changing environments, along with active engagement in the broader AI industry.