Anthropic Logo

Anthropic

Recruiter, Applied AI

Posted 9 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
175K-240K Annually
Senior level
In-Office
San Francisco, CA, USA
175K-240K Annually
Senior level
Lead full-cycle recruiting for Applied AI GTM roles (solutions architects, pre-sales engineers, managers). Partner with leadership to build sourcing strategies, evaluate candidates for LLMs/APIs/cloud integration experience, create excellent candidate experiences, build talent pipelines, use AI tools to improve recruiting, and provide data-driven market and compensation insights.
The summary above was generated by AI
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.

About the role

Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications.

This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries.

Key responsibilities
  • Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions

  • Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives

  • Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen

  • Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption

  • Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting

  • Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads

  • Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement

  • Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market

Minimum qualifications
  • Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills
  • Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration

  • Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches

  • Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders

  • Have a track record of building trusted advisor relationships with technical hiring managers

  • Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach

Preferred qualifications
  • Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies

  • Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space

  • Demonstrated success working within GTM recruiting organizations during periods of hypergrowth

  • Expertise in developing specialized recruiting practices within broader team structures

  • Familiarity with the challenges of deploying AI systems in enterprise environments

  • Experience collaborating across recruiting teams to share resources and best practices

  • A technical background or successful track record recruiting for highly specialized technical positions


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:
$175,000$240,000 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.

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.

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. 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.

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 about our policy for using AI in our application process.

HQ

Anthropic San Francisco, California, USA Office

548 Market St, San Francisco, California, United States, 94104

Similar Jobs

13 Days Ago
In-Office
San Francisco, CA, USA
165K-210K Annually
Senior level
165K-210K Annually
Senior level
Artificial Intelligence • Information Technology
The Senior Technical Recruiter will lead the recruitment of AI researchers and engineers, working with leadership to define hiring strategies, enhance candidate experiences, and improve recruiting processes.
Top Skills: AIMarket Intelligence ToolsMlRecruiting Software
23-31 Hourly
Entry level
Fintech • Financial Services
Provide personalized, roving branch support across multiple locations: handle account openings, teller transactions, service requests, and credit applications. Build customer relationships, promote products, use digital tools, adhere to compliance and risk controls, and coordinate referrals to licensed specialists. Travel across assigned geography and support branch operations and growth.
An Hour Ago
Hybrid
San Jose, CA, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Grow and manage relationships with affluent customers, acquire new clients, and deliver multi-product financial advice. Own a book of business, coordinate referrals with Wealth/Home Lending/Business Banking, support digital adoption, handle everyday banking and service requests, and maintain risk/compliance and licensing requirements.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account