# DevOps / AgentOps Engineer, GTM Systems **Company**: Anthropic **Location**: San Francisco, CA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $320,000-$405,000 USD **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q116758847 **Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5392856008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_07fb187c-db4 ## Description ## 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 We are hiring a DevOps / AgentOps engineer to build and run an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought. ## Key responsibilities - Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback. - Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes. - Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised. - Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see. - Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes. - Produce the audit trail and evidence a SOX-scoped platform needs. - Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing. - Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults. ## Minimum qualifications - Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change. - Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform. - Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are. - Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path. - Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together. - Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept. ## Preferred qualifications - Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave. - Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires. - Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins. - Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it. - Have built approval or notification workflows in Slack or a comparable tool that people actually used. The annual compensation range for this role is $320,000-$405,000 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. ## Skills ### Required - CI/CD pipeline - Salesforce deployment - AI coding tools - agentic workflows - GitHub Actions - infrastructure as code - scripting ### Nice to have - agents or automation - SOX audit regime - Salesforce DevOps tooling - migration to governed pipeline - approval or notification workflows --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5392856008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)