Executive Services Program 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.

We're looking for a personal security program manager to support a fast-growing GSIS (Global Safety, Intelligence & Security) function. Reporting to the Protective Service Senior Manager, and working within the broader direction the Protective Services Lead sets, this role sits at the intersection of corporate security fundamentals and program management execution. You'll execute a defined slice of the policies, processes, and reporting that let the function scale, working within scope your manager sets rather than defining that scope yourself, and you'll support cross-functional projects of low to moderate complexity.

This is not a purely administrative role. You'll need enough security domain grounding to work credibly alongside experienced practitioners, enough program discipline to execute reliably against a defined plan, and enough judgment to know when to flag something up rather than push forward on your own. Most of what you touch will already have a framework your manager has set; your job is to execute cleanly within it and surface what needs a decision above your level.

• Maintain the policy and procedure library for your assigned GSIS sub-domain, following the framework your manager sets, flagging gaps rather than resolving them unilaterally
• Support the GSIS metrics and reporting framework for your assigned scope: pull together operational health and status updates on a defined cadence
• Execute assigned tasks in the build-out of net-new capabilities, under close direction from the Senior Manager or Lead; contribute to documentation and training materials
• Act as first point of contact for lower-complexity stakeholder requests within your assigned domain, resolving directly where the answer is clear and routing everything else up with context
• Contribute to audit-ready documentation within your scope, following existing templates and standards
• Support cross-functional GSIS projects of low to moderate complexity, owning specific workstreams within a project rather than the project's overall scope, timeline, or stakeholder communication

• Have program management experience in or adjacent to the corporate/physical security domain: you understand what a personal security program looks like, even if you haven't run one independently
• Have contributed to a personal security program or capability build in a high-growth environment, including documentation, playbooks, or training materials
• Bring working familiarity with at least one or two GSIS domains, with the speed and willingness to build fluency in others
• Have supported the development of policies, procedures, or documentation that held up under review
• Write clearly and can document security concepts for both specialist and non-specialist audiences

Deadline to apply: None. Applications will be received on a rolling basis. 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.

• Worked at an AI-focused organization, frontier technology company, or similarly high-growth, high-scrutiny environment
• Some operational exposure to a GSIS discipline (intelligence analysis, threat assessment, investigations, executive protection, or security operations center work), even if not as the primary owner
• Supported an organization through a security audit, compliance exam, or diligence process
• Supported a security program with a regional or multi-site footprint

$195,000—$245,000 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.