Senior Manager, Order-to-Cash Assurance

anthropic; San Francisco, Seattle (CA, WA); Hybrid; USD 230.000 - 300.000; Vollzeit

Benefits dieser Stelle

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Office space

Zusammenfassung

Anthropic is seeking a Director of Order-to-Cash Assurance to ensure every order is priced, billed, collected, and recorded accurately. You’ll design pricing audits, drive root-cause fixes, and act as the compliance advocate for global O2C.

This role emphasizes accuracy as a design problem and collaboration with cross-functional teams. You’ll lead audit programs across the O2C lifecycle, define metrics, and partner with Billing, Revenue Accounting, Tax, and Legal.

Qualifikationen

• Bachelor’s degree in Accounting, Finance, Business, Engineering, or related field.
• CPA, CIA, CISA, or CRISC certification.
• Experience with SOX program readiness and public-company reporting requirements.
• Experience with global, multi-entity operations and statutory invoicing/tax considerations.
• Experience with consumption-based and subscription billing models through to collections.
• Strong cross-functional communication and collaboration across GTM, Finance, and Legal.

Aufgaben

• Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application.
• Define accuracy metrics with baselines and targets, such as pricing/invoice error rates, first-pass yield, rework, and revenue leakage.
• Trace findings to root cause and drive fixes with the owning team (process, system, or policy).
• Move from sampling to continuous, system-driven monitoring as volume grows.
• Partner with Order Management, AR, GTM, and Legal to publish guidance for accurate and compliant processes.
• Review new processes and contracts against policy and control requirements with clear decision rights and SLAs.
• Own O2C policies, control ownership, and segregation of duties.
• Collaborate with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal to ensure smooth audit cycles.
• Perform independent reviews to preserve independence during month-end close.
• Create reusable process patterns and guardrails to harmonize globally.

Kenntnisse

Revenue operations

Audit compliance

Stakeholder management

SQL

AI automation

Ausbildung

Bachelor's degree in Accounting/Finance/related field

CPA/CIA/CISA/CRISC certification

Tools

Salesforce

Stripe

Workday Financials

ERP

Jobbeschreibung

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's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Director, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it.

You’ll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You’ll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You’ll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them.

You’ll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn’t, and able to explain the difference. If you’re energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we’d like to hear from you.

Key responsibilities

Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application

Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on

Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards

Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows

Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes

Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels

Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end

Own O2C policies, control ownership, and segregation of duties

Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause

Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved

Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires

Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume

Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection

Hands‑on experience designing and running audit, quality, or revenue assurance programs within order‑to‑cash, billing operations, or quote‑to‑cash

Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors

Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials)

Proficiency with SQL or similar tools for analyzing and testing transactional data

Experience using automation or AI for monitoring, testing, or reporting

Preferred qualifications

10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order‑to‑cash at a public company

A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment

A degree in Accounting, Finance, Business, Engineering, or a related field

CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification

Experience building or scaling a SOX program, including readiness for public‑company reporting requirements

Experience with global, multi‑entity operations, including statutory invoicing and tax considerations

Experience serving both B2C and B2B customers, especially with consumption‑based and subscription billing models through to collections

Experience working with go‑to‑market, deal desk, and revenue operations organizations

Strong cross‑functional influence and clear communication about issues and decisions

Understanding of AI industry business models and enterprise customer needs

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.

$230,000 - $300,000 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.

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 candidation, 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.