Anthropic9 дней назад
Директор, Финансовые Системы - Инженерия Выручки
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РЫНОК
16 250 ₽медиана по профессии
Data Scientist · 212 вакансий с указанной зарплатой
5 000половина предложений: 13 084–21 768120 000
Работодатель не указал зарплату — сравните с рынком сами.
San Francisco
Обязанности
- 01Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries
- 02Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations
- 03Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models
- 04Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams
- 05Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements
- 06Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth
- 07Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort
- 08Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes
- 09Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics
- 10Evaluate and implement emerging technologies to modernize integration architecture
- 11Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards
- 12Mentor team members on technical best practices, code reviews, and documentation standards
Требования
- 01Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)
- 02Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)
- 03Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development
- 04Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions
- 05Track record of leading technical workstreams during ERP transformations or major system migrations
- 06Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions
- 07Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards
- 08Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing
- 09Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability
- 10Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams
- 11Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations
- 12Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes
- 13Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios
- 14Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems
- 15Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing, Workday Financials
- 16Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data
- 17Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures)
- 18Experience leveraging agentic development workflows
- 19Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation
- 20Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams
- 21Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems
- 22Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field
- 23Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks
- 24Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation
- 25Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards