26 days ago
Base Salary
$149k - $254k/yr
Responsibilities
- Own canonical data models for payments, billing, and subscriptions across Scribd, Everand, and Fable.
- Own KPI definitions and the semantic layer for payments and identity, supporting self-service dashboards and AI tools.
- Build models and metrics for trust and safety prevalence and exposure, including evaluation of AI-generated moderation labels.
- Drive data quality, observability, lineage, root-cause analysis, and reliable handling of migrations and source-system changes.
- Build AI tools grounded in certified metrics and tables and validate them with evaluation sets.
- Set modeling and metric conventions, influence source-system changes, and mentor analysts and analytics engineers.
- Translate payment economics and complex data issues into clear trade-offs for senior product and engineering leaders.
Requirements
- 8+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related discipline.
- Deep hands-on payments expertise, including direct experience with processor data from Stripe, Adyen, Braintree, PayPal, or similar platforms.
- Practical experience with identity and authentication data.
- Strong experience with governed canonical data models, semantic layers, metric definition, metric defense, and versioning.
- Advanced SQL and production experience with Databricks, AWS, Looker, Airbyte, Fivetran, or comparable platforms, including orchestration, transformation frameworks, and automated testing.
- Experience making data reliable for AI consumption.
- Advanced Python and experience building AI agents or LLM-based pipelines are preferred.
- Experience with trust and safety or integrity measurement is preferred.
- Experience with local payment methods in LATAM, APAC, or EU markets and stored-credential and network compliance frameworks is preferred.
- Experience with on-call rotations and incident response for production data systems is preferred.
Benefits
- Flexible Scribd Flex work model with occasional in-person attendance required and residence near an approved city.
- Comprehensive health, dental, vision, mental health, disability, paid leave, parental leave, family support, retirement matching, and employee equity benefits.
- Learning and development programs, wellness and home office stipends, complimentary access to Scribd products, and enterprise access to leading AI tools.
- The role is available in specified metropolitan areas in the United States, Canada, and Mexico.
