[Pipeline] Staff+ Software Engineer, Developer Acceleration

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. Staff+ Software Engineer, Developer Acceleration About the Role Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity. Some things that the team owns: - Agent Runtime Platform for provisioning and running agents - Knowledge for providing relevant internal context to agents and humans Some of our work is mentioned in When AI Builds itself and Building effective human-agent teams. Responsibilities - Define the future of agentic productivity at scale and at the frontier - Own the technical strategy and roadmap for your area, translating goals into concrete execution - Define what quality means for agent-driven engineering work, and hold that line across the company - Stay hands-on: build and ship the runtime platform and tooling - Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness - Write evals to benchmark agent behaviors - Deliver impact by collaborating cross-team - Own infrastructure scalability and reliability, and establish operational excellence practices You May Be a Good Fit If You: - Have 10+ years building and operating large-scale distributed systems - Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead - Have a lot of experience with agents, eg. agents doing technical/knowledge work - Are obsessed with productivity and transforming how we work - Have experience building scalable platforms - Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: - Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition - Experience with container or VM orchestration at scale - Experience working with researchers and engineers - Developer productivity or infrastructure experience, such as CI/CD, builds, etc. - Experience building widely adopted CLI tools and services Deadline to apply: None. Applications will be reviewed on a rolling basis. 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. L

10+ years building and operating large-scale distributed systems; 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead; extensive experience with agents (agents performing technical/knowledge work); proven ability to build scalable platforms; experience with container or VM orchestration at scale; experience working with researchers and engineers; developer productivity or infrastructure experience (CI/CD, builds, etc.); experience building widely adopted CLI tools and services; excellent communication skills and ability to support internal partners.

Define the future of agentic productivity at scale and at the frontier. Own the technical strategy and roadmap for your area, translating goals into concrete execution. Define what quality means for agent-driven engineering work, and uphold that standard across the company. Stay hands-on: build and ship the runtime platform and tooling. Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness. Write evaluations to benchmark agent behaviors. Deliver impact by collaborating cross-team. Own infrastructure scalability and reliability, and establish operational excellence practices.