Manager, IT Support

We’re looking for a Manager, IT Support to lead our Americas support team. IT Support is the front door for every employee technology need at Anthropic: our Claude-backed support assistant, the human ticket queue behind it, walk-ups and desk-side help, hardware swaps, conference room triage, and a dedicated white-glove channel for our executives and board.

This is first and foremost a people leadership role. You’ll manage a team of IT Support Engineers across San Francisco, New York, and Seattle-hiring them, coaching them, and growing them.

The role goes beyond running a queue, too. Our support model is being rebuilt this year, and much of what you’d normally inherit doesn’t exist yet-you’ll help shape the service levels this team is held to, and stand up the Americas leg of a follow-the-sun on-call rotation. You’ll also hold a tension we take seriously: our engineers build the automation that keeps requests from ever reaching a person, and they treat the queue as the first priority, always. You’ll partner closely with our specialist operations teams, IT Engineering, Security, People Operations, and Workplace to deliver an exceptional employee experience while maintaining the rigorous security posture our mission demands., * Lead, coach, and develop a team of IT Support Engineers across San Francisco, New York, and Seattle-1:1s, feedback, performance management, and career growth

• Hire IT Support Engineers, including for our executive and board support function, and raise the bar as the team grows
• Own in-office coverage and staffing across San Francisco, New York, and Seattle, and lead a team you aren’t always in the same room with
• Own queue health, service level attainment, and routing rules across the Americas
• Be accountable for how the Americas performs against our support metrics-first-touch resolution, time to first response, time to resolution, employee satisfaction-and drive the changes that move them
• Run and staff the Americas on-call rotation within the global follow-the-sun model
• Route escalations into specialist operations teams and IT Engineering, and hold your team to those boundaries
• Protect engineering time for automation and deflection work without letting the queue slip
• Collaborate with Workplace, People Ops, and other teams to support office operations and company events
• Travel regularly to San Francisco and occasionally to Seattle

• 7+ years of experience in IT support and operations, with 3+ years managing a support team
• A track record of managing and developing engineers: hiring, coaching, performance conversations that change behavior, and moving people into their next role
• Experience leading a frontline IT support team, including ownership of a queue, its service levels, and the people who work it
• Experience managing across multiple offices, including reports you don’t sit with, and a real answer for how you keep them developing
• Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle, and AV first-response
• A demonstrated ability to move a support function’s metrics
• A security-first mindset and excellent judgment about when user experience yields to security requirements
• Comfort with ambiguity and rapidly shifting priorities in a fast-paced environment
• Strong written communication-you can write a runbook, a postmortem, and a piece of hard feedback, and have each land

Strong candidates may also have

• Experience building support infrastructure rather than inheriting it: a queue structure, an on-call rotation, an escalation model, or SLAs that didn’t exist before you arrived
• Experience supporting executives or a board to a white-glove standard
• Experience building support automation, ticket deflection programs, or self-service platforms
• Experience supporting AI/ML research environments or highly technical user bases
• Background in companies with significant security or compliance requirements (e.g. SOC 2, FedRAMP), 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.

Pulled from the full job description

• Parental leave
• Flexible schedule, 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.

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., 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.