{"id":1931480,"url":"https://alion.io/job/anthropic-av-engineer-platform-automation","title":"AV Engineer, Platform & Automation","company":{"id":5,"name":"Anthropic","domain":"anthropic.com","url":"https://alion.io/company/anthropic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":164,"ghost_share":0,"stale_share":0.878,"repost_share":0.006,"time_to_fill_p50_days":49,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Operations","role_family":"Operations","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":285000,"max":325000,"currency":"USD","period":"year","gross":null,"usd_annual":325000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google Workspace","optional":false},{"name":"Grafana","optional":false},{"name":"Interpretability","optional":false},{"name":"Jira","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Lua","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PagerDuty","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Slack","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-05T20:05:29Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-11T01:11:06Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Anthropic\nAnthropic’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.\nAbout the Role\nAs an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems - the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it.\nYou can expect a lot of your time writing, shipping, and operating code - fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. \nResponsibilities\nDesign, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office\nDevelop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically\nBuild integrations across device and platform APIs - Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace\nAutomate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data - with code others can read, test, and maintain\nOwn administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans\nOperate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person\nEstablish the team's engineering practices: source control, code review, testing, CI/CD, and release - and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land\nEnable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers\nPartner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards\nGather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap\nYou May Be a Good Fit If You:\nHave 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on\nAre fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar - and comfortable with shell scripting\nPractice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability\nUnderstand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP - well enough to build reliable tools on top of them\nHave built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure\nHave owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly\nHave defined engineering practices for a team, especially one where most contributors aren't developers\nTurn operational pain into well-scoped tooling, and can say no to work that shouldn't be built\nThrive in a fast-moving environment where standards are being written rather than inherited\nStrong Candidates May Also Have Experience With:\nQ-SYS Lua scripting and plugin development\nLogitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK\nGoogle Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code\nJira, Slack, and PagerDuty APIs and automation\nCrestron, Extron, or other control system programming\nDante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS\nBuilding with LLMs - agentic automation, LLM-assisted internal tools, or MCP integrations\nMonitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment\nQ-SYS Level 2, CTS, or equivalent demonstrated capability\nRole Specific Location Policy:\nThis role will be based in our San Francisco or New York City office\nThis role is expected to be in office 50% of the time\nUp to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing\nBusiness-hours escalation coverage for the tools and platforms this role owns\nDeadline to apply: None. Applications will be received on a rolling basis.\nThe annual compensation range for this role is listed below. \nFor 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.\nAnnual Salary:\n$285,000—$325,000 USD\nLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\nLocation-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.\nVisa 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.\nWe 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.\nYour 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.\nHow we're different\nWe 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.\nThe 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.\nCome work with us!\nAnthropic 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. 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