Anthropic4 days ago
Applied AI Architect, Startups
RUB 20,000–26,250per month · before tax
MARKET
65,900 ₽median for this role
AI Researcher · 37 jobs with disclosed pay
5,600half of the offers: 16,833–78,900143,300
At market · above 32% of offers
San Francisco
Responsibilities
- 01Partner 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
- 02Win 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
- 03Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
- 04Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
- 05Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
Requirements
- 013+ 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
- 02Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
- 03Strong 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
- 04Deep 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
- 05Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
- 06Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
- 07Track record of selling technical products in competitive markets
- 08Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
- 09Passion for making powerful technology safe and societally beneficial
- 10Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 11Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
What we offer
- 01Location-based hybrid policy: Currently, we expect all staff to be in our offices at least 25% of the time
- 02We do sponsor visas
- 03We retain an immigration lawyer to help with visa sponsorship