Incident Response Manager - Privacy

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.

Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial.

We’re looking for an experienced Incident Response Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers.

You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through.

You won’t just manage incidents: you’ll make sure we get meaningfully better after each one.

Key responsibilities

Minimum qualifications

• Own the end-to-end privacy incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking.
• Serve as incident commander for privacy incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders.
• Establish and run incident commander rotations within privacy, ensuring clear ownership and effective coordination during incidents of varying severity.
• Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams, ensuring follow-through on both tactical fixes and strategic improvements.
• Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable.
• Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms.
• Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization.
• Partner with Privacy Legal on breach and notifiability assessments against regulatory timelines, coordinate customer and regulator communications when required, and keep privileged and non-privileged records appropriately separated.
• Develop and maintain privacy incident response documentation, playbooks, runbooks, and training materials; keep them current as our products, data flows and obligations evolve.
• Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for privacy events.
• Define, develop, and track incident management KPIs and report regularly to leadership.
• Support broad cross-functional training and initiatives to uplevel privacy awareness across the company (e.g. Tabletop exercises, training, talks).
• Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment.
• Have a demonstrated track record of turning incident data into organizational improvements: not just writing post-mortems, but driving the cross-functional work to implement systemic fixes.
• Are comfortable participating in on-call responsibilities and leading incident response during high-severity privacy events, including off-hours.
• Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist.
• Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop.
• Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization.
• Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations.
• Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership.
• Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information.

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.

• Have 7+ years of experience in technical program management, incident management, or security/privacy operations, with significant time spent in an incident response context.
• Are familiar with privacy regulation and breach-notification obligations (GDPR, CCPA, HIPAA or similar) and comfortable working with legal counsel under privilege, or have a legal background.

$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.