IT Operations Specialist
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.
Operations & Process Ownership
- Take ownership of IT workflow efficiency, documentation, and best practices
- Identify opportunities for process improvement and implement solutions independently, with stakeholder involvement
- Build and maintain comprehensive documentation systems for IT procedures and policies
- Design and implement effective ways to measure and improve service quality (IT as a Product)
Team Support & Coordination
- Serve as the operational backbone for the IT team
- Create and maintain efficient workflows for ticket handling and escalations
- Develop internal knowledge-sharing systems and practices
- Coordinate with team members to ensure smooth service delivery
- Act as a bridge between technical implementation and operational needs
Asset & Resource Management
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- Own the full lifecycle of IT asset management from procurement to retirement
- Develop and maintain vendor relationships
- Create and execute efficient procurement processes
- Track and manage IT inventory with high attention to detail
- Optimize resource allocation and utilization
- 3+ years of hands-on IT support or helpdesk experience
- Proven track record of taking ownership of processes and driving improvements
- Strong background in technical documentation and knowledge management
- Experience with IT asset management and procurement
- Demonstrated ability to work independently and manage multiple priorities
- 5+ years of hands-on IT support or helpdesk experience
- Experience transforming IT support functions into mature operations
- Background in IT service delivery and process optimization
- History of implementing successful documentation systems
- Experience with inventory management systems
- Track record of vendor relationship management
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
How we're differentWe 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.
Come work with us!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.