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 looking for an experienced software engineer with deep expertise in SaaS billing systems to join our Accounts Platform team. You will lead the design and implementation of our billing infrastructure, working at the intersection of our core product, financial systems, and customer-facing features. This role is crucial for scaling our revenue operations and ensuring a seamless customer experience.
Responsibilities:
- Architect and implement robust billing systems that handle complex pricing models, usage-based billing, subscription management, and commitments spanning multiple products
- Design and maintain integrations with payment processors, accounting systems, and financial reporting tools
- Enable scalable usage tracking and metering for API consumption
- Implement compliant tax calculation and reporting systems for global markets
- Create self-service billing interfaces for customer account management
- Develop automated systems for invoicing, revenue recognition, and financial reconciliation
- Lead technical discussions with stakeholders to define billing requirements and solutions
You might be a good fit if you:
- Have 7+ years of software engineering experience, with at least 3 years focused on billing systems
- Have extensive experience implementing and maintaining production billing systems using platforms like Stripe, Metronome, or similar
- Are well-versed in handling complex pricing models, usage-based billing, and subscription management
- Have strong experience with payment processing, financial compliance, and security requirements
- Are experienced with SQL and database design for financial systems
- Have a track record of building resilient systems with strict consistency requirements
Strong candidates may also:
- Have experience with international payment systems and multi-currency billing
- Have worked with financial reporting and revenue recognition systems
- Have a strong handle on real-time usage tracking and metering systems
- Are familiar with tax compliance systems and regulations
- Have experience with financial audit requirements and SOC compliance
- Have built integrations with enterprise billing systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:Annual Salary:$300,000—$405,000 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.
