Staff Software Engineer, People Products at Anthropic

Role overview

The Staff Software Engineer, People Products opening at Anthropic is centered on Deliver technical or research work for people product engineering. The employer also lists Collaborate with research, engineering, security, product and business teams. and Improve reliability, testing, documentation and operational readiness. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a staff software engineer, people products focused on people product engineering. The source material available for this page does not provide a complete technology list.

The posting identifies Relevant professional experience in AI research, software engineering, application security or technical architecture. and Strong analytical, communication and systems skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly (Travel Required) | San Francisco, CA. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

• Deliver technical or research work for people product engineering.
• Collaborate with research, engineering, security, product and business teams.
• Improve reliability, testing, documentation and operational readiness.
• Translate complex technical questions into measurable systems or research outcomes.

Qualifications

• Have shipped LLM-native features or applications.
• Derive joy from hard work and the act of creation.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.
• Strong Candidates May Also Have:
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• The annual compensation range for this role is listed below.
• 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.
• 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.

Technology in this role

• Go: Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock .
• LLM: Have shipped LLM-native features or .
• CAN: Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock .
• Workday: Experience with HR tech platforms such as Greenhouse, Workday, or .

Benefits

• Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
• Opportunity to support Anthropic’s frontier AI and safety mission.

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.

Browse job categories

Related jobs

• People Systems Engineer at GitLab — GitLab
• Staff Fullstack Engineer, Data Products at GitLab — GitLab
• People AI and Automation Engineer at Deepgram — Deepgram
• Staff Engineer, People Technology at GitLab — GitLab
• Trust and Safety Engineer at VRChat — VRChat
• Staff Recommendations Engineer at VRChat — VRChat