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Regional Head of Early Career Associates, Applied AI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Anthropic
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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

You will design and lead a foundational talent pipeline that develops early-career professionals across Solutions Architecture, Pre-Sales AI Engineering, and Forward Deployed Engineering – as part of our Applied AI associate function. You’ll build a structured rotational program exposing associates to all major sales segments and Applied AI functions, culminating in capstone projects that produce scalable assets for the organization.

This is a high-impact, high-ownership role. You will design the program from the ground up – rotation structure, assessment frameworks, graduation criteria, onboarding curriculum, and capstone evaluation. You will personally coach early-career talent and work cross-functionally with Sales, Product, Engineering, and HR to produce world-class Applied AI professionals.

This role must be based in San Francisco, where all early enablement and training takes place.

Responsibilities
  • Program Design & Operations:
    Design and operate the end-to-end rotational program: onboarding, rotation scheduling, assessment checkpoints, capstone evaluation, and graduation decisions
  • Build rotation plans across Startups, Commercial, Digital Natives, and Industries segments
  • Define graduation criteria, performance milestones, and assessment frameworks that distinguish genuine underperformance from normal ramp-up variation
  • Iterate based on cohort outcomes, associate feedback, and organizational needs
  • Talent Development &

    Coaching:

    Directly manage and coach Applied AI Associates through their rotational journey
  • Provide hands-on technical coaching on Claude Code, Agent SDK, MCP, eval design, and customer engagement
  • Guide associates through capstone project selection, scoping, execution, and presentation
  • Balance skill development with customer delivery commitments across rotations
  • Cross-Functional Collaboration:

    Partner with segment leads to integrate associates into rotation teams
  • Coordinate with SA, PE, and FDE leadership for meaningful function exposure
  • Work with recruiting to build a diverse early-career technical talent pipeline
  • Partner with HR/Employment Law on program structure and performance management frameworks
  • Process & Operations:
    Build scalable processes for managing customer engagements, prioritizing opportunities, and measuring impact
  • Establish metrics and reporting frameworks to track team performance and customer outcomes
  • Create systems for knowledge management, ensuring best practices are documented and accessible
  • Drive operational excellence while maintaining the flexibility needed for a fast-growing product area
Required Experience

You may be a good fit if you have:

  • 5+ years in solutions architecture, sales engineering, developer relations, or technical customer-facing roles
  • 2+ years people management experience, ideally with early-career or rotational programs
  • Track record designing and operating structured talent development programs whether in the same form as a rotational program or a commercial / SMB program that grows talent into Enterprise
  • Hands-on expertise with Claude Code or similar AI tools
Technical Skills
  • Deep familiarity with modern dev workflows, AI-assisted tooling, and developer productivity
  • Understanding of Agent SDK, MCP, prompt engineering, and eval design
  • Ability to assess technical work quality across SA, PE, and FDE domains
Leadership & Mindset
  • Strong coaching and mentorship abilities with evidence of developing junior technical talent
  • Experience building assessment frameworks and graduation standards
  • Comfort operating in ambiguous, fast-moving environments while building durable structure
  • Deep belief in the potential of early-career talent
  • Commitment to making powerful AI technology safe and beneficial

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (OTE)…

Position Requirements
10+ Years work experience
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