Technical Program Manager, Enterprise Data Infrastructure & Revenue Systems

About Anthropic

Anthropic’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

Anthropic is building the foundation for sustainable long-term growth, and data integrity is mission-critical to that vision. We're seeking an exceptional Technical Program Manager to drive hardening and scaling of our revenue data infrastructure in support of our enterprise readiness initiatives.

In this role, you'll partner closely with Data Infrastructure, Finance Analytics & BI, Accounting, and Product Engineering teams to ensure our revenue data pipelines are accurate, auditable, and enterprise-grade. You'll own the end-to-end program for revenue data quality, financial reporting infrastructure, and the systems that power our go-to-market operations at scale.

This is a high-visibility, high-impact role that sits at the intersection of infrastructure, finance, and product engineering. You'll be working on systems that directly enable our hypergrowth while building the operational excellence required of a mature company.

Responsibilities:

• Own the comprehensive program to scale and harden revenue data pipelines across billing, usage tracking, revenue recognition, and financial reporting systems

• Partner with billing, infrastructure, analytics, and business teams to define and implement SOX-compliant data controls, monitoring, and validation frameworks

• Ensure revenue data flows support accurate and timely financial reporting, including daily revenue recognition, AR/UR reconciliation, and monthly close processes

• Coordinate systematic improvement in data timeliness and quality SLOs for critical revenue data pipelines

• Build audit readiness through documentation, control testing, and process standardization

• Drive integration and automation projects spanning ERP systems, billing platforms, payment processors, and internal financial data infrastructure

• Create measurement frameworks to track program impact and system reliability

You may be a good fit if you have:

• 5+ years of technical program management experience, with at least 2 years focused on data infrastructure, business intelligence, or financial systems

• Deep technical understanding of modern data infrastructure: data pipelines, cloud data warehouses, ETL/ELT architectures, and data modeling

• Experience with financial systems integration and revenue data flows (billing systems, revenue recognition, financial close processes)

• Strong systems thinking: ability to understand complex data flows, identify failure modes, and design robust solutions

• Understanding of data governance, access controls, and compliance frameworks (SOX, security controls)

• Track record of delivering complex, multi-quarter infrastructure programs with many stakeholders

Deadline to apply: None, applications will be received on a rolling basis.

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:
$290,000—$365,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

We encourage you to apply even if you do not believe you meet every single qualification. 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 Anthropic 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 to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is 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 about our policy for using AI in our application process