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.
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.
ResponsibilitiesProgram 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
- 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
- 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
- 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
- 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
- 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
- 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") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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
Top Skills
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
