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.
Your primary mission is network operations: deploying and maintaining network infrastructure, overseeing smarthands vendors, and owning the physical infrastructure lifecycle from install through decommission. You’ll also flex into other site work as the network infrastructure team needs you.
This isn’t a maintenance gig; you’ll be building the processes, playbooks, and operational discipline that the team scales on. You’ll work across sites, travel regularly, and have a direct impact on the infrastructure that powers Claude.
Own network infrastructure deployment, maintenance, and bringup across sites
Oversee outside plant and long-haul fiber optic repair vendors: manage dispatches, validate work quality, and ensure SLA compliance
Execute network device installation, configuration validation, and commissioning support
Own RMA processes end-to-end: triage, swap, ship, track, close
Manage spares inventory and coordinate logistics across sites
Conduct physical asset auditing and cradle-to-grave lifecycle tracking
Coordinate with vendors for outsourced work and hold them accountable
Build repeatable processes and playbooks that scale with the team
Support various site deployments like: rack-and-stack, commissioning, forklift, decommissioning as needed
Travel up to 40 - 60% to sites across the U.S.
Have 5+ years (3+ considered for the right candidate) of hands-on experience in field engineering, network operations, or telecom infrastructure
Understand fiber optic systems well enough to oversee vendor work: you can validate splicing, testing, and repair quality without necessarily doing it yourself
Are familiar with network hardware deployment (switches, routers, optics)
Have managed RMA workflows and spares logistics across multiple sites
Hold relevant certifications or are willing to obtain them (OSHA 10/30, BICSI, fiber certifications, confined space)
Can work independently in the field with minimal supervision: you know how to figure it out, and are not afraid to reach out and ask questions when needed
Have experience building processes from scratch, not just following them
Thrive in ambiguity and move fast without waiting for perfect information
Have a bias toward action: you’d rather do than talk about doing
Communicate clearly and directly, especially when flagging risks or blockers
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.
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.
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.
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