Tech Stack
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.
AI @ 6
AWS
Communication @ 9
Data Science @ 3
GCP
GenAI
Generative AI
LLM @ 3
Machine Learning @ 3
Mentoring @ 6
- 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
As a Partners Solutions Architect on Anthropic's Applied AI team, you will be a pre-sales architect focused on building technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners, including AWS and GCP. You will strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute Anthropic's long-term go-to-market strategy.
Responsibilities
- Act as a technical thought partner to the Anthropic GTM partnerships team by contributing technical expertise, helping assess the partner landscape, driving strategic programs, and deepening partner technical capabilities.
- Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in developer communities, and serve as an escalation point for complex technical issues.
- Identify high-value, industry-specific generative AI applications with partners.
- Develop joint solutions and codify reference architectures and best practices that accelerate deployment.
- Support strategic customer deals where partners are the primary delivery vehicle by providing technical expertise and solution architecture guidance.
- Represent Anthropic at partner events, including GSI customer workshops, AWS summits, and industry conferences.
- Lead or support partner-specific developer events, hackathons, and technical enablement sessions, particularly for technically native communities.
- Gather and validate feedback on Anthropic's products and offerings, especially regarding partner use cases and deployment patterns, and communicate it to relevant Anthropic teams to inform the product roadmap and partner strategy.
Requirements
- At least 5 years of experience in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
- A track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges from initial solution design through customer delivery.
- Exceptional relationship-building and communication skills with diverse stakeholders, including C-suite executives and engineering and IT teams.
- Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
- Interest in teaching, mentoring, and helping others succeed.
- Passion for using technology in safe and beneficial ways that advance the goal of safe AI systems.
- A bachelor's degree or equivalent combination of education, training, and experience. The field of study should be relevant to the role as demonstrated through coursework, training, or professional experience.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and retains an immigration lawyer to assist with immigration matters, although sponsorship cannot be guaranteed for every role or candidate.