Manager of Applied AI Architecture, Startups

As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform.

Responsibilities:

• Lead, develop, and grow a team of Startups Applied AI Architects , setting a high bar for technical credibility, customer impact, and startup-paced execution
• Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development
• Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion
• Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives
• Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem
• Ensure your team consistently surfaces insights on how startups are building with Claude , emerging use cases, deployment patterns, architectural decisions , and translate that signal into actionable feedback for Product and Engineering
• Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities
• Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content
• Stay ahead of the AI engineering landscape , context engineering, eval frameworks, agentic architectures, developer tooling , and ensure your team is operating at the frontier

Requirements:

• Have 8+ years of experience in technical customer-facing roles, with 5+ years leading and managing pre-sales or technical go-to-market teams
• Have a strong track record of building and developing high-performing SA teams
• Have deep experience working with startups or high-growth technology companies
• Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences
• Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures
• Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks