Anthropic

Anthropic

Posted via Greenhouse

Staff+ Software Engineer, Developer Acceleration

Posted Aug 5, 2026

Role at a glance

Salary
$405K/yr
Location
CA | Seattle, Washington, United States New York, New York, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
Have 10+ years building and operating large-scale distributed systems
Education
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Visa support
We do sponsor visas!

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Role Summary

AI-generated

The Developer Acceleration team within Anthropic’s Developer Productivity organization builds infrastructure that enables employees to work productively via agents. This role defines agentic productivity strategy and builds agent runtime platforms, harnesses, tooling, and evaluations to improve engineering work at scale.

What You'll Do

  • Define the future of agentic productivity at scale and at the frontier
  • Own the technical strategy and roadmap for the area
  • Build and ship the runtime platform and tooling
  • Build agent harnesses and experiment with context management strategies
  • Write evaluations to benchmark agent behaviors
  • Own infrastructure scalability and reliability and establish operational excellence practices

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required qualifications include 10+ years building and operating large-scale distributed systems, 3+ years leading large-scale complex projects or teams, experience with agents and scalable platforms, and excellent communication skills.

Required

  • 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
  • Experience with agents, eg. agents doing technical/knowledge work
  • Experience building scalable platforms
  • Excellent communication skills
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • A field relevant to the role as demonstrated through coursework, training, or professional experience

Preferred

  • Deep understanding of, and care for, how human work will evolve
  • 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

Original job description

Content provided by the employer

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. 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.

How we're 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. We're 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 about our policy for using AI in our application process.

Anthropic

About the company

Anthropic

Startup

Anthropic is an artificial intelligence safety and research company founded in 2020, dedicated to advancing AI technology while prioritizing ethical considerations and safety measures. The organization focuses on developing AI systems that are interpretable, reliable, and aligned with human values. With a team of experts in machine learning, philosophy, and policy, Anthropic aims to address the challenges posed by increasingly sophisticated AI, fostering a responsible approach to technology that can benefit society as a whole.