Software Engineer, People Products

Anthropic

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 300000 - 405000
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

About Anthropic

Anthropics 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

In case you hadnt noticed Anthropic is growing fast. Really really fast. The People Products team exists to support Anthropics mission by defining the blueprint for AI at work. We help hire the best person in the world for every job ensure manager effectiveness ramp new hires successfully and ensure that we apply first principles thinking in how we shape Anthropics culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding teamwork and promotions.

Youll work directly with Claude with access to capabilities no external team has on problems that are genuinely unsolved. Youll move fast prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product design and engineering. Youll be given high autonomy own your decisions and ship constantly. If youve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world this is that job.

Responsibilities

  • Build full-stack end-to-end across the People Products portfolio.

  • Design and implement AI-native workflows: build tools evals prompts and products. Youll help define what is possible in applied AI for people processes.

  • Work directly with internal stakeholders HR teams recruiters managers to understand problems gather feedback and iterate quickly without waiting for requirements to be handed down. No gatekeeping you are expected to talk to your customers.

  • Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope when to ship and when to ask for input.

  • Contribute ideas for how the team works what it builds and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

  • Derive joy from hard work and the act of creation.

  • Have shipped LLM-native features or applications.

  • Are experienced enough to build big features independently and make great architectural decisions along the way.

  • 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: youre 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:

  • Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.

  • Background at an AI-native company or in a product-focused 0->1 engineering environment.

  • Experience with HR tech platforms such as Greenhouse Workday or Rippling.

The annual compensation range for this role is listed below.

For sales roles the range provided is the roles 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:

$300000 - $405000 USD

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process


Required Experience:

IC

About AnthropicAnthropics 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 t...
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Key Skills

  • Spring
  • .NET
  • C/C++
  • Go
  • React
  • OOP
  • C#
  • Data Structures
  • JavaScript
  • Software Development
  • Java
  • Distributed Systems

About Company

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Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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