Staff+ Software Engineer, Enterprise Connectivity

Anthropic

San Francisco, New York (CA, NY)

On-site

USD 405,000 - 485,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Equity donation matching
Generous vacation
Parental leave
Flexible working hours
Office in San Francisco

Job summary

Anthropic Limited in San Francisco is seeking a Staff+ Software Engineer, Enterprise Connectivity to lead activation of connectors and shape the enterprise connectivity platform. You will own activation end‑to‑end, collaborate with product, design and data science, and set technical direction for the connector ecosystem.

You will build scalable API surfaces, drive zero‑touch setup, and ensure security and governance align with enterprise needs while mentoring other engineers and championing

Qualifications

  • Shipped growth or activation work: onboarding flows, funnels, experiments.
  • Familiar with authorization and identity (OAuth 2.0, OIDC, SSO).
  • Experience with large platform APIs and debugging across boundaries.
  • Built platform or ecosystem surfaces relied on by others.
  • Understanding enterprise policy, permissions and governance at scale.
  • Use data and user research to decide what to build and explain tradeoffs.
  • Drive cross-team alignment to ship with influential leadership.

Responsibilities

  • Own connector activation end to end from discovery to first use.
  • Build and run experiments on connectors, onboarding flows, and suggestions.
  • Make setup near zero-touch using open standards for enterprise adoption.
  • Improve top-used connectors and ensure a smooth first experience.
  • Lay platform foundations to enable new connectors to launch easily.
  • Develop enterprise governance controls and admin features.
  • Collaborate with product, design, data science and sales on priorities.
  • Set technical direction and mentor engineers, leading with influence.

Skills

Growth activation
Authorization & identity
Platform APIs
Ecosystem surfaces
Security governance
Data-driven decisions
Cross-team influence

Education

Bachelor's degree

Tools

Microsoft Graph
Google Workspace

Job description

Staff+ Software Engineer, Enterprise Connectivity
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

A connected Claude is the difference between a general‑purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero‑touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one‑click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once.

You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next.

What you'll do
  • Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them
  • Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows
  • Make setup close to zero‑touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone
  • Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working
  • Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate
  • Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout
  • Partner with product, design, data science and sales to turn usage data and customer feedback into priorities
  • Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority
Minimum Qualifications
  • Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage
  • Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners
  • Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary
  • Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well‑designed APIs
  • Understand what enterprise admins and security teams need from policy, permissions and governance at scale
  • Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners
  • Drive cross-team and cross-company alignment to ship, with influence over authority
Preferred Qualifications
  • Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
  • Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization)
  • Experience with data governance or information protection (sensitivity labels, DLP)
  • Built admin consoles or policy engines for multi‑tenant SaaS
  • Run growth experiments on activation funnels
  • Built AI products or agent tool integrations (MCP)
  • Helped grow a developer or partner ecosystem around a platform

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.

$405,000 - $485,000 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. 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 you're interested in this work. We think AI systems like the ones we're 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.

How we're 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. 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.

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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