Manager of Applied AI Architecture, Startups

USD 315,000-380,000 per year
SENIOR
✅ Hybrid
✅ Visa Sponsorship

Tech Stack

AI @ 7 API LLM @ 4 Python @ 6

Details

As Manager of Startups Applied AI Architects at Anthropic, you will lead a team of technical architects helping startups build AI-native products with the Claude Developer Platform. You will establish the vision for technical partnerships in the startup segment, develop a high-performing team, support strategic early-stage accounts, and drive adoption of frontier AI.

Responsibilities

  • Lead, develop, and grow a team of Startups Applied AI Architects.
  • Set standards for technical credibility, customer impact, and startup-paced execution.
  • Establish goals, coach team members, and promote continuous technical development.
  • Lead pre-sales engagements with priority startup accounts from technical discovery through deployment and expansion.
  • Create technical playbooks for evaluations, customer-specific evaluation frameworks, LLM solution architecture, and competitive engagements.
  • Partner with Account Executives and go-to-market leadership to drive Claude API adoption across the startup ecosystem.
  • Surface insights about startup use cases, deployment patterns, and architectural decisions for Product and Engineering teams.
  • Influence Sales, Product, and Engineering roadmaps to address startup customer needs.
  • Build Anthropic's technical presence through events, conferences, workshops, and content.
  • Stay current with context engineering, evaluation frameworks, agentic architectures, and developer tooling.

Requirements

  • 8+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar.
  • 5+ years leading and managing pre-sales or technical go-to-market teams.
  • Experience building and developing high-performing Solutions Architect teams.
  • Deep experience working with startups or high-growth technology companies.
  • Experience building and deploying LLM-powered applications.
  • Hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures.
  • Comfort with Python and fluency in LLM frameworks, tools, and integration patterns used in startup engineering stacks.
  • Ability to operate effectively in ambiguous, fast-moving environments.
  • A genuine passion for making powerful technology safe and societally beneficial.
  • A bachelor's degree or equivalent combination of education, training, and experience in a relevant field.

Strong candidates may also have experience as a technical founder, competitive LLM evaluations, building team infrastructure from the ground up, developer infrastructure procurement from seed through Series B and beyond, or a visible technical presence in the startup or AI engineering community.

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