About the role
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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- 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
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 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
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Helpful, not always essential
- 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
How they work
- Key responsibilities 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 Minimum qualifications 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 Preferred qualifications 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.
- Annual Salary: $270,000—$290,000 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.
- 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.
Eligibility
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.
How to apply
- We encourage you to apply even if you do not believe you meet every single qualification.
About Anthropic
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