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Overview
Mid-Level

IT Systems Engineer, Enterprise SaaS

Confirmed live in the last 24 hours

Anthropic

Anthropic

Compensation

$275,000 - $325,000/year

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Hybrid
Posted March 24, 2026

Job 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

The Enterprise SaaS team owns the collaboration and productivity platforms every person at Anthropic touches every day — Google Workspace, Slack, and the surrounding ecosystem of enterprise tools. We're responsible for tenant-wide architecture, API-level integration, and the governance that keeps these platforms secure and scalable as the company doubles and doubles again.

You'll make the architecture decisions that shape how thousands of people work: data governance for collaboration content, the application side of SSO and SCIM provisioning, and the integrations that fill gaps the vendors left open. You'll write Python against SaaS APIs where the admin console stops, and you'll be the final escalation tier when the vendor docs stop helping. The scope is the full collaboration stack — cloud infrastructure and endpoints live with separate teams, so this role goes deep rather than wide.

If you've hit the ceiling of what the admin console can do and started solving problems in code, this is that job. You'll partner closely with IT Operations, Security, and the IAM team on the identity and access layer everything else depends on. This role is high-autonomy: you'll define tenant architecture, write the integrations, and represent the SaaS platform across IT. Your work will directly shape how we scale to AI Safety Level 4 and beyond.

Responsibilities

  • Own tenant-wide architecture for Google Workspace, Slack, and core collaboration platforms
  • Design compartmentalization and data-governance models that scale with the company
  • Build integrations and automation against SaaS APIs to automate provisioning and catch drift
  • Configure the application side of SSO connections and SCIM attribute mappings
  • Serve as the final escalation tier for platform issues Support can't resolve
  • Lead vendor relationships — roadmap influence, escalation paths, engineering-level dialogue
  • Partner with Corporate Security on SaaS hardening, third-party app governance, and compliance controls
  • Own platform configuration as code — auditable, repeatable, and version-controlled

You may be a good fit if you

  • Have 8+ years building secure IT systems in complex environments
  • Excel at solving ambiguous problems with multiple stakeholders
  • Communicate technical concepts clearly to any audience
  • View IT Engineering as requiring product engineering rigor
  • Successfully deliver complex projects from conception to production
  • Write clear documentation as a natural part of your workflow
  • Have deep, hands-on experience with enterprise administration of Google Workspace and Slack
  • Have built integrations against SaaS APIs, not just configured through consoles
  • Have been the final escalation tier

Strong candidates may also

  • Have transformed traditional IT operations into engineering-driven organizations
  • Have built strong partnerships with Security and Engineering teams
  • Practice modern development methods (code reviews, testing, CI/CD)
  • Work effectively in distributed teams
  • Have experience with Infrastructure as Code approaches to SaaS configuration
  • Have designed data governance or access controls for collaboration platforms
  • Have experience with SCIM provisioning and SSO federation from the application side
  • Have participated in M&A initiatives and led post-acquisition tenant consolidation — merging collaboration platforms, reconciling identity, migrating data

Technical Skills

Deep, hands-on experience with:

  • Programming against SaaS APIs and SaaS API integrations
  • Google Workspace administration
  • Slack administration and APIs
  • Identity protocols (SAML, OAuth, OIDC, SCIM)
  • Enterprise collaboration platform architect
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