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ANAnthropic logo

Anthropic

San Francisco, CA

Technical Program Manager, SOX Compliance.

PRODUCT

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 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.

We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. 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

  • Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control 

  • Track system migrations and scope changes, and make sure controls are updated as systems move

  • Build metrics and dashboards on control health, open findings, and remediation progress

  • Give regular updates on program status, risks, and remediation to technical leadership

  • Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly

You may be a good fit if you

  • Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls

  • Have run or supported a SOX program at a public or pre-IPO company

  • Have used automation or AI tools to make compliance work faster and more reliable

  • Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting

  • Have worked closely with external auditors

  • Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer

  • Can explain technical risks and control gaps clearly to executives and other non-technical audiences

  • Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you

Strong candidates may also have

  • A background in software, systems, or security engineering

  • Hands-on experience building with Claude Code or other AI tools

  • 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

  • Experience building or rebuilding a SOX program at a fast-growing company

  • Familiarity with other security and IT frameworks, such as NIST or ISO 27001

 

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:
$290,000—$365,000 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. 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.

Pay
Not stated
Where
San Francisco, CA · New York City, NY
Work
Not stated
Type
Not stated
Posted
15 Oct, 2026
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