Manager, Applied AI Solutions Architecture - Partnerships

Responsibilities

Team Leadership & Development

• Hire, manage, and mentor a team of Partner Solutions Architects.
• Set goals, run reviews, and coach each team member toward high productivity and career growth.

Strategic Technical Partnership

• Act as the senior technical thought partner to Anthropic’s GTM partnerships team.
• Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes.

Partner Enablement & Ecosystem

• Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities.
• Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership.

Joint Solution Development

• Lead partners in identifying high-value, industry-specific GenAI applications.
• Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment.

Customer Deal Support

• Own the technical portion of partner-led pre-sales engagements.
• Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance.

Product Feedback

• Gather and validate feedback on Anthropic’s products 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: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases.
• Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike.
• A love of teaching and mentoring, and a passion for advancing safe, beneficial AI.

Nice-to-Haves

• 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 (OTE): $315,000—$380,000 USD