Anthropic

Anthropic

Technical Program Manager, SOX Compliance

San Francisco, CA | New York City, NY · Senior

H1B sponsorship available$290k-$365kDetected 1 day ago
Code ReviewCloud PlatformsCI/CDNLPCybersecurityComplianceFinancial AnalysisAuditingLogisticsERPResearchLeadershipCommunicationSarbanes-OxleyFinancial ReportingInternal Audit

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Anthropic is growing fast, and our SOX program needs to keep up.
  • Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed.
  • You'll also use Claude to automate evidence collection and control testing, so the program scales without more manual work.

Responsibilities

  • Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting
  • Work with engineering teams to design and roll out IT general controls and IT application controls
  • Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them
  • Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates
  • Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship
  • Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start
  • Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests
  • Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested
  • We think AI systems like the ones we're building have enormous social and ethical implications.

Requirements

  • Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls
  • Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering
  • Experience with financial systems such as ERP and billing platforms, and the controls around them
  • 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
  • Years of experience required will correlate with the internal job level requirements for the position

Compensation

  • $290,000 - $365,000 USD

Company info

  • We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
  • At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
  • 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.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.