Anthropic’s mission is to create reliable, interpretable, and steerable AI systems
Team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems
Responsibilities
Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office
Develop fleet health monitoring and automated room testing that catch failures before users report them
Build integrations across device and platform APIs — Q-SYS, Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace
Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data
Own administration and lifecycle of the software platforms behind the AV estate
Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks
Establish the team's engineering practices: source control, code review, testing, CI/CD, and release
Enable AV Engineers, Operations Specialists, and Production staff to contribute safely
Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management
Gather requirements from AV Operations, Events, and AV Engineering
Requirements
10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code
Fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting
Practice engineering fundamentals: Git-based workflows, code review, automated testing, CI/CD, logging, and observability
Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP
Have built integrations against REST APIs, webhooks, and vendor SDKs
Have owned a tool or service in production over time
Have defined engineering practices for a team
Strong candidates may also have experience with: Q-SYS Lua scripting, Logitech Sync and CollabOS, Google Workspace APIs, GCP, Terraform, Jira/Slack/PagerDuty APIs, Crestron/Extron, Dante/AES67/NDI, LLMs, Prometheus/Grafana
Conditions
Based in San Francisco or New York City office
Expected to be in office 50% of the time
Up to 4 weeks of domestic and international travel annually
Business-hours escalation coverage for the tools and platforms this role owns