The opportunity
As an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine…
What you'll do
Partner with Account Executives to deeply understand startup requirements,: translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
Win technical evaluations that demonstrate why Claude is the best foundation: for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
Build technical credibility with founders, founding engineers, and startup: engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
Gather insights on how startups are building with Claude, identify emerging: use cases and deployment patterns, and deliver feedback to Product and Engineering teams
Travel to customer sites, startup-focused events, and industry conferences: for workshops, technical deep dives, and relationship building
+ years of experience in technical customer-facing roles such as Solutions: Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
What they're looking for
- Experience working with startups or high-growth technology companies; you: understand the velocity and constraints of early-stage companies
- Strong builder credibility through experience as a software engineer or: technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
- Deep technical proficiency with building and scaling AI products, a pulse on: AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
- Hands-on experience building and deploying LLM-powered applications in: production, with expertise in context engineering, evaluation frameworks, and modern AI architectures