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Manager of Applied AI Architecture, Partnerships

Anthropic · New York, NY · 2 wk ago
HybridEngineering$315k–$380k/yrFull-time

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 our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners.

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.

Qualifications

  • Years of experience required will correlate with the internal job level requirements for the position.

  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.

  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Skills

  • Ability to build and scale partnerships with GSIs and cloud providers.

  • Experience in enterprise AI deployments.

  • Strong communication and executive presence.

  • Passion for advancing safe, beneficial AI.

Benefits

  • Competitive compensation and benefits.

  • Optional equity donation matching.

  • Generous vacation and parental leave.

  • Flexible working hours.

  • Lovely office space for collaboration.

Pay

The annual compensation range for this role is $315,000—$380,000 USD.

Schedule

We currently expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Location-based hybrid policy

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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