Staff+ Software Engineer, Enterprise AI Products

Anthropic; New York (NY); Hybrid; USD 405.000 - 485.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Equity donation matching (optional)

Generous vacation & parental leave

Flexible working hours

Office space

Zusammenfassung

Anthropic is seeking a technical leader to own enterprise-facing core products within our Enterprise AI Products team. You will shape end-to-end design, coordinate with research, product, design, and go-to-market, and translate customer feedback into engineering priorities.

You have 8+ years of software engineering, a track record leading complex B2B products, and experience delivering 0→1 initiatives in fast-moving environments. Strong collaboration and communication are essential.

Qualifikationen

• Bachelor's degree or equivalent required.
• 8+ years of software engineering experience, with leadership at Staff level preferred.
• Experience delivering complex enterprise/B2B products end-to-end.
• Experience building AI-enabled products and translating model capabilities into user value.
• Comfortable working directly with enterprise customers and translating insights into engineering priorities.

Aufgaben

• 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 ship enterprise workflows.
• Set technical direction and standards for the team, including architecture and code quality.
• Engage with enterprise customers and sales to prioritize engineering work.
• Collaborate with research to improve domain-specific model capabilities and evaluation frameworks.
• Mentor engineers and raise the technical bar across the team.
• Build multi-player, asynchronous agents and webhook-driven processes.

Kenntnisse

Enterprise leadership

Staff-level experience

Full-stack delivery

AI product experience

Customer-facing work

Fast-moving environment

Cross-team alignment

Strategic decision making

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

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 will 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

• 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.

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.