Posted today
Pay
USD 190,000–230,000 a year
From the description
Location
San Francisco, CA | Seattle, WA
On site
H-1B approvals FY2025: 25 (USCIS)
Initial H-1B petitions USCIS approved for ANTHROPIC PBC (CA) in fiscal year 2025, from the H-1B Employer Data Hub. It says what the employer has done, not whether a given role will be sponsored.
Official sourceJobs at employers with H-1B approvals in the United States
Skills this role screens for
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Still studying?SQL internships in the United States open nowAbout the role
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.
The work
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 Senior Manager, 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.
The work
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Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application
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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
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Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards
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Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows
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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
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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
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Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end
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Own O2C policies, control ownership, and segregation of duties
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Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause
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Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved
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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
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Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume
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Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection
Who they want
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Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash
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Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors
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Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials)
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Proficiency with SQL or similar tools for analyzing and testing transactional data
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Experience using automation or AI for monitoring, testing, or reporting
Nice to have
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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
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A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment
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A degree in Accounting, Finance, Business, Engineering, or a related field
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CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification
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Experience building or scaling a SOX program, including readiness for public-company reporting requirements
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Experience with global, multi-entity operations, including statutory invoicing and tax considerations
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Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections
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Experience working with go-to-market, deal desk, and revenue operations organizations
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Strong cross-functional influence and clear communication about issues and decisions
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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.
What you get
$190,000—$230,000 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 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.…
From Anthropic's own careers system (Greenhouse).
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