Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 2
Technical Proficiency @ 2
Communication @ 6
LLM @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Startups Applied AI team partners with founders and engineering teams at startups to help them build on the Claude Developer Platform. This role combines deep technical expertise with a builder-first mindset to architect LLM solutions, win technical evaluations, and guide startups from discovery through deployment and expansion.
Responsibilities
- Partner with Account Executives to understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout Claude adoption from evaluation through deployment and expansion
- Win technical evaluations by helping startups develop evaluation frameworks and demonstrating Claude's fit for their use cases
- Build technical credibility with founders and engineering teams by speaking their language, understanding build patterns, and guiding architecture decisions
- Gather insights on how startups use Claude, identify emerging use cases and deployment patterns, and provide feedback to Product and Engineering
- Travel to customer sites, startup events, and conferences for workshops, technical deep dives, and relationship building
Requirements
- 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or as a technical founder who has done founder-led sales
- Experience working with startups or high-growth technology companies
- Strong builder credibility through experience as a software engineer or technical founder
- Deep technical proficiency building and scaling AI products, familiarity with AI engineering best practices, and the ability to demonstrate Claude's strengths
- Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
- Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
- Track record of selling technical products in competitive markets
- Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
- Passion for making powerful technology safe and societally beneficial
- Minimum of a Bachelor's degree in a related field or equivalent experience
Compensation
- Annual Salary: $190,000 - $315,000 USD
Logistics
- Locations: San Francisco, CA and New York City, NY
- Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time
- Visa sponsorship: company states they do sponsor visas and retain an immigration lawyer to assist when an offer is made
How We're Different
Anthropic focuses on a small number of large-scale research efforts, values collaboration and communication, and emphasizes AI safety and societal benefit. Recent research directions include work related to GPT-3, interpretability, scaling laws, and learning from human preferences.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.