Senior Payroll Manager

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.

You'll own US and Canada payroll operations end-to-end — hands-on in Workday, close to the details — while also managing and developing 1–2 direct reports on the US team. You'll report directly to the Head of Global Payroll and be a key leader in making sure North American payroll keeps pace with Anthropic's growth.

Strategic importance: You'll be a key contributor to our compliance initiative — our framework for managing payroll tax obligations across US & Canada. You'll also be part of the team driving AI adoption within payroll: we're actively building out how AI tools can improve reconciliation accuracy, error detection, and reporting workflows. This isn't a future initiative — it's happening now.

US Payroll Operations

Canada Payroll Management

Team Leadership & Development

Cross-Functional Partnership & Compliance

AI Adoption & Process Improvement

You may be a good fit if you have

Strong candidates may also have

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.

• Own full-cycle payroll processing for all US entities — multi-state, multi-frequency, exempt and non-exempt populations
• Process complex equity compensation including RSUs, ISOs, and NSOs, ensuring accurate tax withholding and timely reporting
• Manage high-volume payments: bonuses, commissions, severance, and equity events
• Oversee quarter-end, W-2 preparation, year-end reconciliations, and resolution of federal and state tax notices
• Maintain and continuously improve Workday payroll configuration — identify automation opportunities and lead optimization initiatives

$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 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.