Staff+ Software Engineer, Public Sector

About Anthropic

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.

About the Role

Anthropic is bringing Claude to democracies worldwide and were looking for startup-minded engineers to build out our public sector engineering team. Engineers in this role will be working across the stack to scale our products from 0 to 1 and beyond.

While were looking for candidates with prior public sector experience we are also excited about hiring product-minded engineers with a track record of building and scaling products. Theres no shortage of things to build so startup experience will help in maintaining a sharp focus and plotting an optimal path forward. This role is full-stack and entrepreneurial: youll own projects such as building out deployments for new government customers implementing products to better surface critical information and working directly with customers to understand how we can best leverage and adapt Claude to power their workflows.

Youd be joining at an exciting inflection point where we are evolving past deployments of basic Claude access for the public sector and toward cutting-edge AI capabilities and a comprehensive public sector experience. The projects the team tackles enables governments to deploy AI applications for their most critical operationsfrom national security to public services. As the team continues to grow our focus includes delivering solutions that directly influence how democratic institutions deploy and use advanced AI systems.

Core Responsibilities

• Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows

• Take ownership of architecting new deployments and designing public sector specific features

• Collaborate closely with research on AI models for government applications and workflows

• Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps

• Design and build scalable systems for deployment user management and administrative controls

• Create clarity and technical direction in a fast-moving environment with unique constraints

You Might Be a Good Fit If You:

• Have 8 years of experience as a full stack software engineer

• Experience integrating and working with AI/ML models and understanding their capabilities

• Strong technical background with proven success building and shipping enterprise or government-grade products

• Have excellent collaboration skills with ability to work effectively across functions

Strong Candidates May Also Have:

• Startup experience particularly in scaling products from zero to one

• Experience partnering with sales customer success and professional services teams to drive product adoption

• Experience delivering software to government networks

• Active federal security clearance (Secret or above)

This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically this position supports a United States federal state and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement citizenship will be verified via a valid passport or other approved documents or verified US government clearance.

Logistics

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.

How were 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. 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.

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 aboutour policyfor using AI in our application process