Skip to main content
TryApplyNow logo
Anthropic logo

Staff+ Software Engineer, Enterprise AI Products

Anthropic
Be an Early ApplicantFull TimestaffVisa Sponsor
San Francisco, CA | New York City, NYPosted Today

Role Overview

Anthropic is hiring a Staff+ Software Engineer, Enterprise AI Products. This is a full-time role in San Francisco, CA | New York City. posted today. the employer indicates they sponsor work visas; applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

GoB2BORLeanLogisticsCompensationBenefitsBar

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

Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet.

You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next.

What you'll do

  • Own technical design and delivery for enterprise-facing core products, end-to-end across the stack
  • Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec
  • Set technical direction and standards for your team: architecture, code quality, and how the team builds
  • Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities
  • Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development
  • Mentor other engineers and raise the technical bar across the team, working with influence rather than authority
  • Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing

You may be a good fit if you

  • Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
  • Have led the design and delivery of complex enterprise or B2B products across the full stack
  • Have built AI products and know what it takes to turn model capabilities into applications people actually use
  • Are comfortable working directly with enterprise customers and translating what you learn into technical decisions
  • Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
  • Drive cross-team alignment to ship impactful work, with influence over authority

Strong candidates may also have

  • Experience working with research to improve domain-specific model capabilities, including evaluation frameworks
  • Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on
  • Exposure to both product-led growth and direct enterprise sales

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:
$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.

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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.

About Anthropic

Anthropic logo

Anthropic

anthropic.com

Sponsors visaOn-site

191 other open roles at Anthropic on TryApplyNow.

Frequently Asked Questions

How do I apply for the Staff+ Software Engineer, Enterprise AI Products position at Anthropic?

Use the Apply button above to submit your application directly to Anthropic. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Staff+ Software Engineer, Enterprise AI Products position at Anthropic located?

This position is based in San Francisco, CA | New York City. Anthropic has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Staff+ Software Engineer, Enterprise AI Products at Anthropic earn?

Anthropic has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Staff+ Software Engineer, Enterprise AI Products role at Anthropic posted?

This role was posted on July 22, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Does Anthropic sponsor work visas for this role?

Yes. Anthropic has indicated that this position is open to candidates requiring work visa sponsorship. Confirm specifics (H-1B, OPT, country eligibility, etc.) during the recruiter screen.

AI-powered job search

Get every job scored to your resume

Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.

Get started free

No credit card to start