Anthropic is seeking an experienced engineering leader to oversee our corporate engineering and IT functions in a high-security environment as we continue to scale. As our Head of Corporate Engineering, you will own the strategy and execution of our software engineering of internal systems, IT infrastructure, and technical integrations to enable the security of Anthropic and smooth business operations.
About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.
Responsibilities:
- Recruit, develop, and mentor excellent software, systems, and reliability engineering and IT talent and promote best practices in software engineering, systems administration, and operations.
- Design and implement security policies in service of Anthropic's mission to deploy AI securely.
- Develop and drive the strategic vision for Anthropic's IT environment and corporate engineering needs.
- Lead a high-performing engineering team responsible for managing infrastructure, access, security, communications, collaboration tools, business applications, data integrations, and workflows.
- Partner with departmental leaders across the company to understand their systems and integration needs and ensure optimal solutions.
- Oversee complex integrations across our stack - from infrastructure to applications - to create seamless systems.
- Continuously monitor the health of infrastructure and applications, optimize performance, and develop capacity plans.
- Maintain 99.9% uptime and high availability of critical systems.
- Ensure all IT solutions meet security and compliance requirements.
- Manage relationships with key vendors and negotiate contracts. Control costs through prudent decision-making.
You may be a good fit if you:
- Have 15+ years managing software or security engineering teams and enterprise IT environments.
- Have experience earlier in your career as a software engineer or security engineer.
- Have experience in an executive role.
- Have expertise overseeing complex infrastructure and application stacks, integrations, and data pipelines.
- Have experience with cloud platforms like AWS, GCP, or Azure.
- Possess leadership skills to collaborate, influence, and drive consensus across the organization.
Strong candidates may also:
- Have excellent communication, presentation, and relationship-building skills.
- Be a creative problem-solver able to balance business needs with system constraints.
- Have budget management skills and sound judgment optimizing value.
- Be obsessed with system stability, scalability, efficiency, and security.
- Have experience scaling from a small to large scale company.
Annual Salary (USD):
- The expected salary range for this position is $560k.
Logistics:
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits:
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity: On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size and communicate equity amounts at the time of offer issuance.
US Benefits: The following benefits are for our US-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits: The following benefits are for our UK-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
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.
#J-18808-Ljbffr