Director, Finance Systems - Revenue Systems Engineering

Director, Finance Systems - Revenue Systems Engineering

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’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at . You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.

Responsibilities

Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries

Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations

Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models

Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams

Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements

Systems Integration & Technical Leadership

Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth

Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort

Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes

Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics

Evaluate and implement emerging technologies to modernize integration architecture

Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards

Mentor team members on technical best practices, code reviews, and documentation standards

Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)

Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)

Demonstrate 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

Track record of leading technical workstreams during ERP transformations or major system migrations

Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions

Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards

Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing

Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability

Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams

Preferred qualifications

• Have 12+ years of experience in revenue systems engineering, with deep hands‑on expertise in Order-to-Cash (OTC) implementations

Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes

Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios

Hands‑on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems

Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials

Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third‑party transaction data

Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event‑driven architectures)

Experience leveraging agentic development workflows

Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation

Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams

Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field

Hands‑on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks

Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation

Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:$270,000—$315,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior, including: GPT‑3, Circuit‑Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

We are a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn aboutour policy for using AI in our application process.

Contract Remote Remote-Friendly (Travel-Required) | Washington +3