Anthropic에서 채용 팀을 위한 Recruiting Solutions Engineer를 모집합니다. LLM 기반 애플리케이션 개발 경험과 Python 또는 TypeScript 역량이 필수입니다. 채용 프로세스에 AI 기술을 도입하고 교육하며, 실무자를 위한 기술적 솔루션을 설계합니다. 기술적 전문성과 교육 역량을 갖춘 분을 찾습니다.
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.
As the Recruiting Solutions Engineer dedicated to Recruiting at Anthropic, you will be the trusted technical partner helping recruiters build with Claude as we transform how Anthropic hires. The role spans three connected lanes — education, technical support, and building — in that order. Your first mission is helping recruiters help themselves: finding the AI skills and workflows our strongest recruiters have already invented, codifying them, and teaching them at scale. Where self-serve runs out, you provide hands-on technical support. And where the same need keeps surfacing, you build fast pilots that prove the workflow.
Working closely with Recruiting leadership, People Products Engineering, and Data Solutions, you'll own the full enablement loop: you'll leverage your AI engineering expertise to turn recruiter-built skills into reusable assets, design evaluation approaches for AI-assisted hiring workflows, and create the technical resources that let a recruiting org operate at the frontier of AI.
Serve as the dedicated technical advisor to the Recruiting organization — embedded with recruiters, sourcers, and coordinators to expand what's possible with Claude in real hiring workflows
Lead with education: identify and codify the skills and workarounds recruiters have created, turn them into teachable and reusable assets, and run the enablement motion (sessions, office hours, workshops) that scales them across the org
Work hands-on with recruiters: pairing on prompts, skills, and agent workflows; debugging where things break; turning support patterns into documentation so the same question isn't answered twice
Develop fast prototypes and pilots for high-value workflows that education alone can't solve — built scrappy, validated with real recruiter usage, and designed from day one with a graduation path into People Products' production stack
Collaborate closely with our internal AI governance group (the AI Council) to vet recruiter-built skills into shared tooling, and with People Products to hand off pilots that earn productionization
Identify patterns across teams and engagements, and contribute insights back to Recruiting leadership, Data Solutions, and People Products
Create technical content for recruiting audiences: documentation, tutorials, sample skills, and walkthroughs that assume curiosity rather than an engineering background
Foster community engagement through internal hackathons, demo sessions, and technical office hours
Experience as a Software Engineer, Forward Deployed Engineer, Solutions Engineer, or in a technical enablement role — or equivalent builder credibility from shipping real products
Production experience building LLM-powered applications and workflows, including prompting, context engineering, agent architectures, and evaluation
Strong programming skills (e.g., Python, TypeScript) and a pragmatic approach to internal tooling — you'd rather ship a working pilot this week than architect for a year
Genuine enthusiasm for teaching audiences without engineering backgrounds: you can translate AI concepts into language and habits that stick, and you measure success by what people can do without you
The judgment to know when a problem needs enablement, when it needs support, and when it needs software — and the discipline not to build when teaching will do
Strong communication skills that earn trust with both recruiters and engineers
Passion for making powerful technology safe and beneficial
Experience with recruiting or people technology (Greenhouse, Workday, scheduling and sourcing tools)
Experience working inside or alongside recruiting, people operations, or another operations-heavy function
A track record of internal-tools or platform work where the customer sat next to you
Experience running enablement programs, workshops, or developer relations-style motions
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:
$270,000—$290,000 USD
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.
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.
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.
