[Pipeline] Staff+ Software Engineer, Developer Acceleration

Anthropic$405K — $485K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years building large-scale distributed systems
  • 3+ years leading complex projects or teams
  • Extensive experience with productivity agents
  • Strong background in scalable platform development
  • Excellent communication skills in collaborative environments

Responsibilities

  • Define future agentic productivity at scale
  • Own technical strategy and roadmap
  • Establish quality standards for agent-driven engineering
  • Build and deploy the runtime platform and tooling
  • Experiment with context management for agent performance
  • Write benchmarks for evaluating agent behaviors
  • Collaborate cross-team to deliver significant impact
  • Ensure infrastructure scalability and operational excellence

Benefits

  • Visa sponsorship available
  • Hybrid work policy with on-site expectations
  • Encouragement to apply despite meeting all qualifications
  • Commitment to diversity and inclusion in hiring
  • Focus on ethical implications of AI development
Full Job Description
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 [redacted].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.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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