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.
GCP @ 3
Machine Learning @ 2
Data Science @ 2
AWS @ 3
Communication @ 6
Mentoring @ 3
LLM @ 2
AI @ 3
GenAI @ 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 that are safe and beneficial for users and society. The team includes researchers, engineers, policy experts, and business leaders focused on building beneficial AI systems.
Role summary
As a Partners Solutions Architect on the Applied AI team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You will strengthen relationships with key partners to accelerate indirect revenue, enable partner AI practices, and execute the long-term go-to-market strategy.
Responsibilities
- Act as a strategic technical partner to the Anthropic GTM partnerships team: provide technical expertise to understand partner landscapes, drive strategic programs, and identify opportunities to deepen partner technical capabilities.
- Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in partner developer communities, and serve as an escalation point for complex technical issues.
- Collaborate with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices to accelerate deployment.
- Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
- Represent Anthropic at partner events (GSI customer workshops, AWS summits, industry conferences), and lead or support partner developer events, hackathons, and technical enablement sessions.
- Validate and gather product feedback related to partner use cases and deployment patterns and deliver feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Requirements
- 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.
- Proven track record partnering with GSIs and/or cloud providers to solve complex technical challenges from solution design through customer delivery.
- Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders including C-suite executives, engineering, and IT teams.
- Strong presentation and technical communication skills and 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.
- A love of teaching, mentoring, and helping others succeed, and a passion for using technology safely and beneficially.
Compensation
- Annual Salary: €175,000 - €215,000 EUR
Logistics
- Location: Paris, France
- Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time.
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Minimum years of experience: will correlate with internal job level requirements.
Visa sponsorship
Anthropic states they do sponsor visas and will make reasonable efforts to obtain a visa for an offered candidate, and they retain an immigration lawyer to assist. They note they cannot guarantee sponsorship for every role or candidate.
How we're different
Anthropic emphasizes large-scale, high-impact AI research, collaboration across a single cohesive team, and communication. They reference prior research directions and encourage reading recent research to understand their directions.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.