Is the Staff+ Software Engineer, Enterprise AI Products role remote?

It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.

What's the salary range?

Anthropic lists $405,000–$485,000 for this role.

How much experience is required?

At least 8 years of relevant experience for this Staff+ Software Engineer, Enterprise AI Products role.

Where is the role based?

Anthropic is hiring for this position in San Francisco, CA | New York City, NY.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML.

Does Anthropic sponsor work visas for this role?

Yes — the posting indicates visa sponsorship is available for the right candidate.

What seniority level is this role?

Anthropic targets staff-level candidates for this position.

Staff+ Software Engineer, Enterprise AI Products at Anthropic

Joblaze summary

In this role, the Staff+ Software Engineer will lead the technical design and delivery of enterprise AI products, focusing on enhancing customer workflows and addressing adoption barriers. The position requires expertise in full-stack development, particularly in building AI applications that are user-friendly and effective. Ideal candidates will have significant experience in software engineering, particularly in enterprise environments, and a proven track record of driving product development from inception to launch. Anthropic's collaborative culture emphasizes impactful AI research, making this role suitable for those who thrive in fast-paced, innovative settings.

Joblaze insights

Listed 5 days ago on Joblaze — tracked directly from Anthropic's career page.
Anthropic has 440 other open roles including Technical Documentation and Content Engineer, Claude Docs, Staff Software Engineer, Environments Infrastructure, Regional State and Local Affairs Lead, Southern States.
1835 active AI/ML roles on Joblaze right now.
Salary band is above the typical range for AI/ML roles (median ~$194,500).
Pays more than 98% of the 1064 salaried AI/ML roles we track (median $190,000).

Quick facts

Is the Staff+ Software Engineer, Enterprise AI Products role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.
What's the salary range?: Anthropic lists $405,000–$485,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff+ Software Engineer, Enterprise AI Products role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff+ Software Engineer, Enterprise AI Products role at Anthropic.

From the original posting

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.