Role Description & Responsibilities
Data Engineering
About Stripe
Stripe is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Engineering role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
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, close interoperability and 0→1 solution gaps, and bring field learning directly into Stripe’s product roadmap. The team owns strategic proof-of-concept engagements across the pre- and post-sales lifecycle, complementing Stripe’s AI account teams and the product depth of Stripe’s specialist teams.
Key Responsibilities & Day-to-Day Scope
- ✓ 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.
- ✓ Create repeatable patterns: Turn successful customer-specific work into reusable prototypes, reference architectures, implementation playbooks, and solution components.
- ✓ Stay close to the AI frontier: Operate at the pace and in the working style of AI-native companies, and remain current on emerging companies, products, business models, and technical developments across the industry.
- ✓ 7+ years of relevant experience in customer-facing technical delivery, solutions engineering, implementation, technical product management, or a related field
Official Qualifications & Technical Requirements
- • 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
Preferred Skills & Technology Stack
- + Experience with big data tools (Apache Spark, Kafka, Flink) and cloud platforms (AWS, Azure, GCP).
- + Familiarity with dbt (data build tool) for SQL transformations.
- + Hands-on experience with Docker and Linux system administration.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Stripe
Verified EmployerStripe champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.