Manager of Applied AI Architecture, Partnerships

About Anthropic

Anthropics 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. Our team is a quickly growing group of committed 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 Anthropics products (Claude for Enterprise Claude Code API) through our 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 its most important 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 our best-in-class safety standards.

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 Anthropics GTM partnerships -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 Anthropics products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy.

You may be a good fit if you have

• 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.

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.

Logistics

Minimum education: Bachelors 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

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 arent 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process