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Stripe

Solutions Engineer, AI Build Team

Stripe

. Own strategic proof-of-concept engagements end to end, from customer commitment through activation .

Posted 10/16/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing complex customer engagements from discovery to implementation, with a strong focus on solution design and prototyping using modern AI tools. Proven ability to navigate ambiguous environments and build trusted relationships with technical stakeholders.

Highest-signal resume keywords
Customer-Facing Technical DeliverySolutions EngineeringAPI IntegrationPrototyping Using AI ToolsComplex Engagement Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
APIIntegrationsApplication ArchitectureData FlowsPythonJavaScriptTypeScriptJavaRubyPrototyping
Soft Skills
Relationship BuildingInfluential LeadershipAdaptability
Tools & Technologies
CursorClaude CodeCodexSlack
Industry Keywords
AI IndustryStartup EnvironmentTechnical Product ManagementImplementationPost-Sales

Tech Stack

Tools & technologies
JavaJavaScriptPythonRubyTypeScript

About the role

Key responsibilities & impact
  • Own strategic proof-of-concept engagements end to end, from customer commitment through activation
  • Work with customer engineers and technical leaders to understand workflows and rapidly prototype solutions
  • Design solutions spanning multiple Stripe products
  • Determine whether blockers require configuration, integration work, custom development, or core product changes
  • Navigate incomplete products, evolving requirements, and interoperability gaps
  • Translate customer needs and deployment friction into product requirements
  • Partner with product and engineering teams to shape frontier products
  • Coordinate account teams, Solutions Architects, product and engineering, Professional Services, and post-sales resources
  • Turn successful customer work into reusable prototypes, reference architectures, implementation playbooks, and solution components
  • Stay current on emerging AI companies, products, business models, and technical developments

Requirements

What you’ll need
  • 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 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
  • 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
  • Ability to build trusted relationships with customer engineers, technical leaders, founders, and senior stakeholders
  • Ability to lead through influence across sales, product, engineering, implementation, and post-sales teams
  • Experience operating at startup speed and in Slack-first, rapidly changing environments
  • Active engagement in the broader AI industry