Staff+ Software Engineer, Enterprise Knowledge Work

Anthropic; San Francisco (CA); On-site; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking a Staff+ Software Engineer to lead the development of AI products tailored for industries such as financial services and healthcare. In this role, you will own the technical design across the stack, collaborate with research, and engage directly with enterprise customers to shape impactful products.

Ideal candidates will have over 8 years of software engineering experience and a strong background in enterprise product design. A hybrid work model applies, with a salary range of $405,000 to $485,000.

Qualifications

• 8+ years of software engineering experience, ideally with 2+ years at a Staff level.
• Experience designing and delivering complex enterprise products.
• Ability to translate customer needs into technical decisions.

Responsibilities

• Own technical design and delivery for a core piece of a vertical or enterprise product.
• Work closely with research to improve model capabilities in your domain.
• Partner with product and design to develop enterprise customer workflows.

Skills

Software engineering experience

Technical leadership

Enterprise product design

Cross-team alignment

Education

Bachelor’s degree or equivalent

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 Verticals team builds AI products purpose‑built for specific industries — financial services, science, healthcare, and the broader enterprise. Most of these teams are being built 0→1 right now: you’ll be shaping the product and the architecture in markets where no one has done this well yet. Where we’re further along, products are already live with enterprise customers and growing fast.

We’re hiring Staff+ Software Engineers to build the products that bring Claude into financial services, science, healthcare, and enterprise AI workflows. 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.

About The Teams

Claude for Financial Services

Builds products for customers in investment banking, asset management, insurance, and corporate finance. Near‑term work centers on deeply integrated experiences inside the tools these teams already use, with a roadmap expanding as we learn what’s most useful. The team operates close to enterprise customers and close to research.

Claude Science

We just launched Claude Science, an AI workbench for scientists that brings fragmented research tools into a single environment. The product is live and expanding fast; you’ll help drive engineering through that growth.

Claude for Healthcare

The focus is payer workflows (claims, prior authorization, utilization management, member communications), with groundwork for clinical applications over time. You’ll be shaping the product and the architecture at the same time.

Enterprise AI Products

Building what makes Claude a daily‑use tool for enterprise customers across industries: plugins, skills, and shared organizational context — the connective tissue that lets Claude operate across an organization’s workflows — plus the foundational systems large organizations require to deploy AI at scale, like user and permissions management, security and compliance features, and analytics infrastructure. A big part of this work is understanding what’s blocking adoption and building the capabilities that close those gaps.

What You’ll Do

• Own technical design and delivery for a core piece of one of these vertical or enterprise products, end-to-end across the stack
• 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
• 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
• 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 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
• Deep domain knowledge in one of these areas: investment banking, asset management, insurance, or corporate finance; scientific research or computational biology; clinical operations, health systems, or payers; or enterprise platform work
• Exposure to both product-led growth and direct enterprise sales

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

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.