Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 7
Claude Code @ 6
Codex @ 6
Java @ 6
JavaScript @ 6
Payments
Product Management @ 7
Python @ 6
Ruby @ 6
Slack @ 4
TypeScript @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Who We Are
About Stripe
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. Stripe’s mission is to increase the GDP of the internet.
About the Team
The AI Build team is an industry-focused team dedicated to building with leading and fast-scaling AI companies. The team works alongside Stripe’s AI Solutions Architecture and go-to-market teams, and across Stripe’s product suite, to help customers adopt emerging products, close interoperability and 0→1 solution gaps, and bring field learning into Stripe’s product roadmap. The team owns strategic proof-of-concept engagements across the pre- and post-sales lifecycle.
Responsibilities
- Own strategic proof-of-concept engagements end to end, from initial customer commitment through activation.
- Work with customer engineers and technical leaders to understand workflows, rapidly prototype solutions, and establish credible paths to production.
- Design solutions spanning multiple Stripe products, determining whether blockers require configuration, integration work, custom development, or a core product change.
- Navigate incomplete products, evolving requirements, and interoperability gaps while balancing immediate customer outcomes with reusable solutions.
- Translate customer needs and deployment friction into product requirements and partner with product and engineering teams to influence the roadmap.
- Coordinate AI account teams, AI and specialist Solutions Architects, product and engineering teams, Professional Services, and post-sales technical resources throughout new builds and deployments.
- Turn successful customer-specific work into reusable prototypes, reference architectures, implementation playbooks, and solution components.
- Stay current on emerging AI companies, products, business models, and technical developments.
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 pre- and post-sales work.
- 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 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.
Additional Information
This role offers the opportunity to partner directly with leading AI companies and work on the financial infrastructure that powers their businesses. As an early member of Stripe’s AI industry team, the successful candidate will help shape how Stripe partners with frontier companies, brings emerging products to market, and translates customer insights into product direction.