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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
