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Salary: USD 315,000 - 380,000 / annual
Anthropic is seeking a Manager of Applied AI Architecture for Startups to lead a team of technical architects driving adoption of frontier AI among early-stage companies building with the Claude Developer Platform. You will build and lead a high-performing team of Solutions Architects, personally manage relationships with strategic startup accounts, and define the technical playbooks for nurturing customers from early engagement through scale.
Key responsibilities include:
- Leading, developing, and growing a team of Startups Applied AI Architects with high standards for technical credibility, customer impact, and startup-paced execution
- Driving team performance through goal-setting, coaching, and continuous technical development
- Personally leading pre-sales engagements with high-priority startup accounts from technical discovery through deployment and expansion
- Building and owning segment technical playbooks: running technical evaluations, developing customer-specific eval frameworks, architecting LLM solutions for resource-constrained teams, and competitive positioning
- Partnering with Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption
- Surfacing insights on how startups build with Claude—emerging use cases, deployment patterns, architectural decisions—and translating signal into actionable feedback for Product and Engineering
- Driving cross-functional influence across Sales, Product, and Engineering to advance startup customer needs
- Building Anthropic's technical presence in the startup ecosystem through events, conferences, workshops, and content
- Staying current with AI engineering landscape (context engineering, eval frameworks, agentic architectures, developer tooling)
You bring proven technical go-to-market leadership with builder credibility and startup instincts. You know how to build teams that move at startup speed, earn trust from deeply technical buyers, and turn early engagement into lasting partnerships. You'll set the vision for great technical partnership in the startup segment, develop high-performing people, and stay close enough to the ground to know what's working.
Requirements:
- 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar)
- 5+ years leading and managing pre-sales or technical go-to-market teams
- Strong track record building and developing high-performing SA teams; proven ability to hire well, coach effectively, and create environments where technical talent grows
- Deep experience working with startups or high-growth technology companies; understanding of velocity, constraints, and culture of early-stage companies
- Genuine builder credibility: have built and deployed LLM-powered applications, speak the language of founders and founding engineers, can earn trust of deeply technical audiences
- Hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures; can guide teams and customers through decisions separating prototypes from production systems
- Comfortable with Python and fluent in LLM frameworks, tools, and integration patterns common in startup engineering stacks
- Energized by building in ambiguous environments; excited to define playbooks, not just run them; thrive in fast-moving contexts where technology and customer segment evolve rapidly
- Genuine passion for making powerful technology safe and societally beneficial
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
Strong candidates may also have:
- Experience as a technical founder or in founder-led sales motion
- Track record winning competitive technical evaluations against other LLM providers
- Experience building foundational team infrastructure from the ground up (hiring frameworks, onboarding programs, technical playbooks, coaching systems)
- Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond
- Visible technical presence in startup or AI engineering community through conference talks, written content, or open-source contributions
