Responsibilities
Act as a subject matter expert on Stripe's Data products (data pipelines/export, revenue and reconciliation reporting, and analytics tooling) to accelerate opportunities
Demonstrate a deep understanding of how businesses warehouse and model payments and revenue data — data pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; and how that data feeds financial reporting, reconciliation, and BI
Conduct deep discovery of customers' existing data architecture, warehouse, and reporting stack to architect solutions that align Stripe's Data capabilities with their analytics and finance requirements
Advise customers on how to design for complexity: multi-entity and multi-currency reporting, custom data models, integration with existing BI tools (Looker, Tableau, Sigma, Metabase) and ERP/GL systems, and data freshness/latency requirements
Create and share best practices and reusable assets such as reference architectures to enhance the quality and efficiency of the broader sales and pre-sales organizations
Partner closely with the Data product sales team and actively drive opportunities for Stripe's largest customers, leading solution strategy and owning key customer relationships
Serve as a "Voice of the Customer" to drive product and feature request prioritization
Identify product, industry, implementation, and competitive trends, and provide actionable insights to product stakeholders and sales to influence Stripe's Data product roadmap
Act as an escalation point to drive complex technical issues to resolution with Stripe's engineering team
Represent the technical health of the business on quarterly sales forecast calls and highlight deal blockers with proposed solutions
Support marketing events including executive briefings, conferences, user groups, and trade shows
Who You Are
You're capable of engaging in both business-level and technical conversations at multiple levels of a customer organization, including finance, data, and engineering leadership. You enjoy working on products that require deep technical understanding combined with business context, and you're as comfortable in a warehouse schema as you are in a revenue conversation with a CFO. You're excited to become an expert and to share that knowledge broadly.
If you meet the minimum requirements below, we encourage you to apply — the preferred qualifications are a bonus, not a requirement.
Minimum Requirements
7+ years of experience in a technical sales, pre-sales, or solutions architecture role, with a focus on data platforms, analytics, or financial reporting
3+ years of hands-on experience with data warehousing and pipeline architecture (e.g., Snowflake, BigQuery, Redshift, Databricks) and ETL/ELT tooling
Strong understanding of how payments and revenue data maps to financial reporting and reconciliation workflows
Experience working with or implementing BI/analytics platforms (Looker, Tableau, Sigma, Metabase, or similar)
Strong knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained
Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex technical concepts to both technical and non-technical audiences
A proven ability to build strong collaborative working relationships with business partners
Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment
Preferred Qualifications
Experience integrating Stripe or other RESTful APIs into data pipelines or web applications
Familiarity with complex reporting scenarios: multi-entity consolidation, revenue recognition data models, or usage-based billing data
Experience with SQL at an advanced level and comfort working directly in a customer's data warehouse during discovery
Experience as a subject matter expert in financial services, fintech, or a data/analytics vertical
Pre-sales experience with Enterprise customers
