Engineering Manager, Finance Engineering

Candidate; San Francisco (CA); On-site; USD 320,000 - 405,000; Full time

Job summary

Anthropic in San Francisco is hiring an Engineering Manager to lead the engineers building the finance platform that records every event and posts each one exactly once. You will hire, mentor, and set a high bar for production systems used by Claude agents and internal teams.

You’ll partner with Billing, Compute, Infra, and Finance Ops to define requirements, design data contracts, and enforce reliability and audit controls.

Qualifications

• Led teams that build and run high-volume backend systems where correctness matters.
• Built or run event-driven systems with idempotent processing, replay and backfill.
• Sound judgment on platform boundaries, data contracts and API design.
• Hired and grown engineers, and set engineering standards for platforms.
• Able to articulate trade-offs across functions and with non-engineering partners.

Responsibilities

• Lead and grow a team of engineers: hire, coach and maintain high engineering quality.
• Own delivery of the finance event front door, contracts, ledger and engine.
• Ensure production services are reliable and traceable to their source.
• Provide platform support for finance apps: SDKs, access controls, SOX guardrails.
• Define and enforce reliability and correctness bar with SLOs and tests.
• Align on design, data contracts and APIs with Billing, Compute and Infra.
• Drive faster finance support for new products and compute builds.

Skills

Led teams

Backend systems

Platform design

API design

Cross-functional collaboration

Audit/SOX experience

Education

Bachelor's degree

Tools

Go

Kafka

Pub/Sub

Job description

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

Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls.

We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people.

You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain.

Responsibilities

• Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality
• Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source
• Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow
• Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box
• Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books
• Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra
• Drive down the time it takes finance to support a new product, program or compute buildout

Minimum qualifications

• Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record
• Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production
• Have sound judgment on platform boundaries, data contracts and API design
• Have hired and grown engineers, and set engineering standards for platforms
• Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room

Preferred qualifications

• Have 3+ years of engineering management experience, with 8+ years total in the industry
• Built developer platforms or paved paths used by other builders
• Worked with Go and with streaming systems such as Pub/Sub or Kafka
• Built with LLMs and agents, including MCP
• Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting
• Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails
• Worked with ERP or financial systems, such as Workday Financials or Oracle Financials

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:$320,000—$405,000 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.

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.

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.