Remote IT Systems Engineer, Enterprise SaaS

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. Were 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.

Youll 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. Youll write Python against SaaS APIs where the admin console stops, and youll 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 youve hit the ceiling of what the admin console can do and started solving problems in code, this is that job. Youll 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: youll 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 cant 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 architecture

Security and compliance frameworks

Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.

For 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.
Annual Salary:
$275,000 - $325,000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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.

We 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 youre interested in this work. We think AI systems like the ones were 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.

Your 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 youre ever unsure about a communication, dont click any links—visit anthropic.com/careers directly for confirmed position openings.

How were different
We 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. Were 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.

The 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.

Come work with us!
Anthropic 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. Guidance on Candidates AI Usage: Learn about our policy for using AI in our application process