---
title: 'Staff+ Software Engineer, Developer Experience at Anthropic'
canonical: 'https://feeny.ai/job/staff-software-engineer-developer-experience-anthropic-san-francisco-ydw8khg50wj7'
type: 'job'
last_seen: '2026-10-16'
---

# Staff+ Software Engineer, Developer Experience at Anthropic

- **Company:** Anthropic
- **Location:** San Francisco, CA / New York, NY
- **Compensation:** $405k–$485k
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-10-16
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5398218008

## Job description

## 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.

## About the role

The Claude Platform serves developers and enterprises at scale. The Developer Experience (DevX) team owns the surfaces those developers touch every day: the Console, the docs platform, and our SDKs and CLI. Our job is to make the Platform easy to adopt and trustworthy enough to build critical applications on, to get new model and API capabilities into developers' hands fast and ergonomically, and to build for both humans and the coding agents that increasingly use our docs and SDKs on their behalf. The work splits into two workstreams, covered below, and we need your help across both.

## What you'll do

DevX Core: You'll help drive technical direction for the Console and docs platform — the surfaces every developer on the Claude Platform uses — working with product and design from problem definition through launch. The Console is also the front door for tens of internal teams shipping their own features onto it, so you'll set the platform patterns and standards they build against.

SDKs: You'll own the SDKs across seven languages plus our CLI — the first thing most developers (and most coding agents) touch when they integrate Claude. You'll partner with API teams early so every new platform capability lands in the SDKs as an idiomatic, ergonomic feature on day one, and you'll drive the code generation, testing, and release pipeline that keeps seven languages consistent and shipping fast.

You might be a good fit if you:

- Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
- Have led the design and delivery of complex, developer-facing products across the full stack
- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
- Take a product-focused approach to building solutions that are robust, scalable, and easy to use
- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
- Care deeply in investing in the mentorship and growth of your peers
- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
- Have experience establishing engineering standards, component architectures, and development best practices
- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team. 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](http://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](https://www.anthropic.com/candidate-ai-guidance) for using AI in our application process.

## About Anthropic

## Company Overview
- **One-liner**: Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems.
- **Entity Type**: Private (Public Benefit Corporation) – [anthropic.com](https://www.anthropic.com/company)
- **Headquarters**: San Francisco, CA, USA – inferred from job listings on [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us)
- **Founded**: Not publicly available
- **Founders**: Not publicly available (the company website lists Dario Amodei and Daniela Amodei on the Board of Directors but does not explicitly identify them as founders – [anthropic.com/company](https://www.anthropic.com/company))

## Core Business
- **Primary industry**: AI safety and research; frontier AI model development
- **Target customers**: B2B – businesses, nonprofits, civil society groups, and end-users of its AI tools (e.g., Claude)
- **Mission/purpose**: “Making AI systems you can rely on” and “the responsible development and maintenance of advanced AI for the long-term benefit of humanity” – [anthropic.com](https://www.anthropic.com/) and [anthropic.com/company](https://www.anthropic.com/company)

## Products & Services
- **Claude**: AI assistant “designed to be helpful, honest, and harmless.” Deployed via API and direct interfaces for businesses, nonprofits, and individuals. Type: SaaS/API – [anthropic.com/careers](https://www.anthropic.com/careers) and [anthropic.com](https://www.anthropic.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total funding not disclosed in provided sources; the company operates with a large team and active hiring (56 open roles as of the search date)
- **Notable Investors/Partners**: Not publicly available from the provided search results (the company page lists board members including Reed Hastings and Vas Narasimhan, but does not specify investors)
- **Growth Signals**: 56 open roles across research, engineering, product, and operations; emphasis on scaling the team while maintaining a “high-trust, low ego” culture – [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us)

## Competitive Advantages
- **Safety-first differentiation**: Anthropic treats AI safety as a systematic science, investing heavily in interpretability, steerability, and reliability research.
- **Interdisciplinary team**: Researchers, engineers, policy experts, and operators work closely together; engineers often co-author research papers.
- **Public Benefit Corporation structure**: Legally committed to long-term benefit of humanity, not just shareholder value – [anthropic.com/company](https://www.anthropic.com/company)

## Strategic Focus
- **“Ignite a race to the top on safety”**: Pushing the industry toward safer AI through research, product deployment, and collaboration with governments and civil society.
- **Act for the global good**: Making decisions that maximize positive long-term outcomes for humanity, including bold safety measures – [anthropic.com/careers](https://www.anthropic.com/careers)

## Why Work Here
- **Culture**: “High-trust, low ego” organization that values what you can do over pedigree. About half of technical staff have no prior ML experience; half have PhDs. Engineers do research and researchers do engineering.
- **Remote/hybrid policy**: Most staff are in the Bay Area and come to the office regularly; some work remotely and visit one week per month. Flexible during relocation.
- **Benefits**: Comprehensive health/dental/vision, 22 weeks paid parental leave, fertility benefits (Carrot), $500/month wellness stipend, annual education stipend, home office stipend, daily meals in office, retirement matching, equity donation matching, visa sponsorship for eligible roles.
- **Interview process**: Technical roles use live coding (Colab/CodeSignal); non-technical roles are conversational. Accommodations available. No internships currently – [anthropic.com/careers](https://www.anthropic.com/careers)

## Sources
1. [Anthropic Company Page](https://www.anthropic.com/company)
2. [Anthropic Homepage](https://www.anthropic.com/)
3. [Anthropic Careers Page](https://www.anthropic.com/careers)
4. [Anthropic Jobs Board](https://www.anthropic.com/jobs?lang=us)

## Other roles at Anthropic

- [Enterprise Sales Manager](https://feeny.ai/job/enterprise-sales-manager-anthropic-london-wq8fq1cd8j2p) — London, United Kingdom
- [Manager, Applied AI Architects - Digital Natives, EMEA](https://feeny.ai/job/manager-applied-ai-architects-digital-natives-emea-anthropic-london-6cn2ww39ye6z) — London, United Kingdom
- [Staff+ Software Engineer, Enterprise (Full Stack)](https://feeny.ai/job/staff-software-engineer-enterprise-full-stack-anthropic-san-francisco-chrkykcajnbc) — San Francisco, CA / New York, NY
- [Applied AI Engineer, Startups (Physical AI)](https://feeny.ai/job/applied-ai-engineer-startups-physical-ai-anthropic-san-francisco-4bks8bafbn6d) — San Francisco, CA
- [Applied AI Engineer, Startups (Life Sciences)](https://feeny.ai/job/applied-ai-engineer-startups-life-sciences-anthropic-san-francisco-71dm91cckykf) — San Francisco, CA / New York, NY
- [Risk & Insurance Specialist](https://feeny.ai/job/risk-insurance-specialist-anthropic-san-francisco-bbd9an129bhb) — San Francisco, CA
- [Technical Program Manager, SOX Compliance](https://feeny.ai/job/technical-program-manager-sox-compliance-anthropic-san-francisco-v37k4pg3xtpp) — San Francisco, CA / New York, NY
- [Technical Program Manager, Corporate Engineering](https://feeny.ai/job/technical-program-manager-corporate-engineering-anthropic-san-francisco-yyzg5cmhb2z1) — San Francisco, CA / New York, NY
- [Community Engagement Manager, Data Centers (Louisiana)](https://feeny.ai/job/community-engagement-manager-data-centers-louisiana-anthropic-friendly-4geqwx0v1p61) — Friendly, United States
- [Community Engagement Manager, Data Centers (Virginia & West Virginia)](https://feeny.ai/job/community-engagement-manager-data-centers-virginia-west-virginia-anthropic-r4tsrz6vmgsp) — Friendly, United States