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IT Operations Engineer, Asset Management

San Francisco, CA | New York City, NY

About Anthropic

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.

About the role

The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations.

You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled.

Responsibilities

Strategy and Tooling

  • Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it
  • Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access
  • Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process
  • Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship

Inventory and Assignment

  • Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it
  • Run audits of who-has-what and reconcile physical counts against the system of record
  • Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments 
  • Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels

Procurement and Refresh

  • Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar 
  • Build out the refresh calendar and advance it across offices
  • Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up

Collection, E-waste and Disposal

  • Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them
  • Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate
  • Handle equipment under legal hold or other chain-of-custody requirements

BPO and Contingent Fleet

  • Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors

Corporate Mobile

  • Run day-to-day operations for the corporate mobile program and write its runbook
  • Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet

Automation

  • Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools)

You may be a good fit if you

  • Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment
  • Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model
  • Have run an e-waste or secure disposal program with certified partners and chain-of-custody records
  • Have managed reseller or vendor relationships for hardware purchasing and asset disposal
  • Write things down: runbooks, how-to guides and knowledge base articles
  • Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance

Strong candidates may also

  • Have supported a corporate mobile program or carrier account
  • Have basic scripting experience (Bash or Python) for inventory or reporting automation
  • Have experience using AI tools to improve personal or team productivity
  • Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets

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.

Annual Salary:

$180,000 - $230,000 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.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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