Recruiting Solutions Engineer

About the role

The Recruiting Solutions Engineer dedicated to Recruiting at Anthropic will serve as the technical advisor to the Recruiting organization. They will lead with education, work hands-on with recruiters, develop fast prototypes and pilots, and foster community engagement through internal hackathons, demo sessions, and technical office hours.

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

Requirements

• 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

Qualifications

• Years of experience required will correlate with the internal job level requirements for the position
• 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

Skills

• 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

Benefits

• 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

Pay

• 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

Schedule

• 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.

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.

Application Instructions

Visit anthropic.com/careers directly for confirmed position openings. If you're ever unsure about a communication, don't click any links—visit 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.
• 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.
• 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.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.