Implementation Specialist

We’re building a team of Implementation Specialists to be the technical hands that switch Claude on inside our largest customers - the people who turn “we’ve signed the contract” into “our employees can log in, with the right access, under the right policies, the way our security team expects.” Before any CSM can drive adoption, before any Technical Specialist can run a workshop, before any champion can ship their first workflow, someone has to connect Claude to the customer’s identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That’s your work.

This is not an adoption or enablement role - those sit with our Customer Success Managers and Technical Specialists. Your job is technical deployment, security credibility, and clean handoffs. You’ll spend your time inside customer identity providers - Okta, Entra ID, Ping, Google Workspace - on working sessions with customer IT and IAM leads, debugging SAML assertions and SCIM attribute mappings, and authoring the runbooks that make every downstream hour of CS and Enablement investment compound instead of evaporate.

You should be the kind of person a customer’s security lead wants in the room - credible because you’ve shipped dozens of enterprise deployments, calm under pressure because you’ve debugged every flavor of IdP edge case, and trusted because when you say “we can do that” or “we won’t do that, here’s why,” your word holds.

What you’ll do:

You’ll typically run a portfolio of 5-10 concurrent enterprise deployments. A week looks roughly like:

• Configure and troubleshoot SSO (SAML, OIDC), SCIM/JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace observed as part of setup. Deliver informative transitions to Support for deeper issues that require investigation and/or engineering support
• Run technical working sessions with customer IT, IAM, and security leads - including CISOs at F500 scale - explaining our security model, shared-responsibility boundaries, and data-handling posture.
• Anticipate what a regulated customer’s security review will ask (SOC 2, ISO 27001, HIPAA, FedRAMP) and partner with our AI Security Specialist when needed.
• Diagnose identity edge cases live on calls: broken SAML assertions, misconfigured SCIM attribute maps, group-filtering issues, tenant-provisioning quirks.
• Author Deployment Runbooks that the CSM inherits at handoff - as-built environment, admin contacts, known issues, support tier - so adoption starts warm.
• Contribute to repeatable playbooks and admin documentation that shape how the IS function scales - you’ll be one of our first hires, so what you build becomes the template.

Do you have experience in Systems integration?, Do you have a Bachelor’s degree?, * 5-7+ years in a customer-facing technical role - Technical Account Managers, Technical Onboarding, Technical Support, Solution Architects or technical consulting.

• 4+ years of hands-on, sustained ownership of enterprise identity integration work - SAML, OIDC, SCIM v2, JIT provisioning, across at least two major IdPs (Okta, Entra ID, Ping, Google Workspace) and familiarity with Work OS. You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating.
• Senior candidates should have experience having led the Implementation Specialist function or built deployment playbooks from scratch at a prior company
• Proven track record running multiple concurrent enterprise deployments at F500 scale, with documented handoffs.
• Customer-facing technical communication skills that hold up under pressure. You can run a working session with a CISO and an IAM lead in the same room, explain trade-offs without jargon, and hold the line on scope without damaging the relationship.
• Working knowledge of enterprise security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP) sufficient to anticipate and answer customer security reviews.
• Experience in regulated industries: financial services, healthcare, pharma, public sector and with the security-review rigor they require.
• Portfolio discipline, you document as you go, you hit milestones you’ve committed to, and you don’t drop balls across 5-10 concurrent threads.
• Prior experience at an enterprise SaaS or AI/ LLM vendor with a heavy admin/IdP surface (e.g., identity, collaboration, security, or productivity platforms).
• Exposure to AI/LLM products or agentic systems.
• Familiarity with Claude specific concepts like Skills, MCP, and Plugins.
• Experience partnering with SI / GSI delivery partners in an ecosystem attach model., 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.

Pulled from the full job description

• Parental leave
• Flexible schedule, 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.

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., 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. 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.

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.