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DevOps / AgentOps Engineer, GTM Systems

Anthropic
Hybrid - San Francisco, CA (at least 25% in office)Updated 1d ago
Compensation
$320k–$405k
Published range · Top quartile for Engineering (519 listings)
Location
Hybrid - San Francisco, CA (at least 25% in office)
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
Apply on job-boards.greenhouse.io
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About the job

About the role

GTM Systems builds and runs the platform that Sales and contracting operate on — a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual. We are hiring a DevOps / AgentOps engineer to build and run that path: an AI-first CI/CD pipeline covering both Salesforce and custom application code, supporting three modes — fully agentic, human-in-the-loop, and AI-assisted. The pipeline is the one path to production for a system under audit, so guardrails, approvals, and audit trail are part of the product.

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.

Qualifications

Minimum: have built and run a CI/CD pipeline for a team, including branching model, merge gating, and rollback path; 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; design for the failure case (blast radius, sandboxing, permissions); comfortable across GitHub Actions or a comparable CI system, infrastructure as code, and scripting; write clear design documents. Preferred: shipped agents or automation that operate inside a production system of record; operated a platform under SOX or a similar audit regime; experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines); run a migration from ad hoc or manual deploys to a governed pipeline; built approval or notification workflows in Slack or a comparable tool.

Compensation

Annual Salary: $320,000—$405,000 USD.

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Location-based hybrid policy: currently we expect all staff to be in one of our offices at least 25% of the time; some roles may require more. Visa sponsorship: we do sponsor visas and will make every reasonable effort to get you a visa if we make an offer. Apply via the Greenhouse posting.

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