Used Tools & Technologies
Machine LearningRequired 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
Leadership @ 3
AWS @ 3
Azure @ 3
Communication @ 3
Mentoring @ 3
API @ 3
LLM @ 3
Claude Code @ 3
AI @ 3
GenAI @ 3
Prompt Engineering @ 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. We want AI to be safe and beneficial for our users and for society as a whole. The team is a quickly growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic’s products (Claude for Enterprise, Claude Code, API) through Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners. You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining safety standards.
Responsibilities
- Hire, manage, and mentor a team of Partner Solutions Architects; set goals, run reviews, and coach team members toward productivity and career growth.
- Act as the senior technical thought partner to Anthropic’s GTM partnerships team; co-build partner strategy, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.
- Embed with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in partner developer communities; represent Anthropic at partner events and contribute technical content.
- Lead partners in identifying high-value, industry-specific GenAI applications; develop joint solutions and codify reference architectures and best practices to accelerate deployment.
- Own the technical portion of partner-led pre-sales engagements and intervene directly on strategic partner-led deals with deep solution architecture guidance.
- Gather and validate feedback from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.
Requirements
- 7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM).
- 3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments.
- Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure).
- Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions.
- Technical depth in enterprise AI deployments, including LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.
- Exceptional communication and executive presence; ability to build trusted relationships with C-suite, partner leadership, and engineering teams.
- A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.
Strong candidates may also have
- 5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent.
- Direct experience helping GSIs or consultancies build their AI/ML practice (enablement programs, certification paths, joint solution development).
Compensation
Annual Salary: $315,000 - $380,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
- Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time.
- Visa sponsorship: Anthropic states they sponsor visas and will make reasonable efforts to support candidates if an offer is made.
How we're different
Anthropic works as a single cohesive team on a few large-scale research efforts, valuing impact and collaboration. The company places emphasis on communication skills and the social/ethical implications of AI research.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.