Role at a glance
- Job function
-
Software Engineering & IT Full-Stack Engineering
- Salary
- $405K – $485K/yr
- Location
- CA | New York City, New York, United States San Francisco, California, United States
- Work arrangement
- Hybrid
- Visa support
- “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...
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Role Summary
This role builds enterprise-facing products that make Claude ready for deployment at scale, including admin, governance, and management experiences for large organizations. The engineer owns work across the full stack, shaping product decisions as well as technical architecture and delivery.
What You'll Do
- Own technical design and end-to-end delivery across the stack, from admin consoles and governance surfaces to APIs and data models.
- Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product.
- Set technical direction and standards for the team, including architecture, code quality, and development practices.
- Work with enterprise customers, admins, and sales, translating conversations into engineering priorities.
- Build primitives that help large organizations deploy, govern, and get value from Claude at scale.
- Mentor engineers and raise the technical bar across the team.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Has 8+ years of software engineering experience, ideally including 2+ years at Staff or equivalent technical leadership level; has led complex customer-facing full-stack product design and delivery; has built enterprise SaaS and understands IT admin, security review, and procurement needs; can work directly with enterprise customers, build products from 0 to 1, set technical direction amid limited precedent, and align teams through influence.
Required
- 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level.
- Has led the design and delivery of complex customer-facing products across the full stack.
- Has built enterprise SaaS products and understands what IT admins, security reviewers, and procurement teams need to say yes.
- Is comfortable working directly with enterprise customers and translating what they learn into technical decisions.
- Has built products from 0 to 1 in fast-moving environments and can set technical direction with limited precedent.
- Drives cross-team alignment to ship impactful work, with influence over authority.
Preferred
- Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility).
- Experience building AI products and turning model capabilities into applications people actually use.
- Experience as startup founders or early-stage employees.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly.
We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises.
What you'll do
- Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them
- 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, admins, and sales during key conversations, translating what you learn into engineering priorities
- Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale
- Mentor other engineers and raise the technical bar across the team, working with influence rather than authority
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 customer-facing products across the full stack
- Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes
- 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 with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility)
- Experience building AI products and turning model capabilities into applications people actually use
- Experience as startup founders or early-stage employees
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.
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 the company
Anthropic
Startup
Anthropic is an artificial intelligence safety and research company founded in 2020, dedicated to advancing AI technology while prioritizing ethical considerations and safety measures. The organization focuses on developing AI systems that are interpretable, reliable, and aligned with human values. With a team of experts in machine learning, philosophy, and policy, Anthropic aims to address the challenges posed by increasingly sophisticated AI, fostering a responsible approach to technology that can benefit society as a whole.