Staff+ Software Engineer, Vertical AI Products (Multiple Roles)

Anthropics 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.

Anthropics 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 01 right now: youll be shaping the product and the architecture in markets where no one has done this well yet. Where were further along products are already live with enterprise customers and growing fast.

Were hiring Staff Software Engineers to build the products that bring Claude into financial services science healthcare and enterprise AI workflows. Youll 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.

Were hiring across all of these areas through this posting. Team placement happens during the interview process based on your background interests and organizational need if you have deep experience in one of these domains let us know in your application.

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 whats 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; youll help drive engineering through that growth.

Claude for Healthcare Were building for the entire industry payers providers pharma and beyond with a simple long-term measure of success: people living longer healthier lives because the system around them works better. Youll shape the product and the architecture from the ground up.

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 organizations 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 whats blocking adoption and building the capabilities that close those gaps.

• 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

• 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

• 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

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.